Anushka Desai, Oscar G Bautista, Kemal Akkaya
Privacy-Preserving Collision Detection for Drone-based Aerial Package Delivery using Secure Multi-Party Computation Journal Article
In: pp. 510–515, 2023.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {Privacy-Preserving Collision Detection for Drone-based Aerial Package Delivery using Secure Multi-Party Computation},
author = {Anushka Desai and Oscar G Bautista and Kemal Akkaya},
url = {https://dl.acm.org/doi/abs/10.1145/3565287.3617631},
year = {2023},
date = {2023-10-23},
pages = {510–515},
school = {Florida International University},
abstract = {As drones become more widely available, they find applications in many different fields. One of the most promising applications of drones is to use them in deliveries of items/food within certain distances to offer quick service for the customers. In such cases, we will see many different companies deploying drone ducking stations within a neighborhood and fly drones frequently during the day. However, as more companies get into this domain, this will increase the potential for collisions as several drones will simultaneously fly to destinations that are close to each other. Therefore, there is a need to coordinate their trajectory planning in advance by sharing information about their trajectories and destinations. Nevertheless, since drones belong to different companies sharing this information may violate the privacy of their customers and also expose their business privacy. The sharing needs to be done in a privacy},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Oscar G Bautista, Kemal Akkaya
MPC-as-a-Service: A Customizable Management Protocol for Running Multi-party Computation on IoT Devices Proceedings Article
In: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, pp. 1–6, IEEE, 2023.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {MPC-as-a-Service: A Customizable Management Protocol for Running Multi-party Computation on IoT Devices},
author = {Oscar G Bautista and Kemal Akkaya},
url = {https://ieeexplore.ieee.org/abstract/document/10154349/},
year = {2023},
date = {2023-05-08},
booktitle = {NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium},
pages = {1–6},
publisher = {IEEE},
school = {Florida International University},
abstract = {Techniques to perform computations without disclosing the input values have notably improved in the last decade. One such technology, called Secure Multiparty Computation (MPC), where two or more computation nodes hold secret pieces of private data and jointly execute a protocol to obtain a function output, has proven effective for preserving privacy in many applications (e.g., distributed signing, financial scores, machine learning, and more). Nonetheless, in many cases, the data source and computation nodes are often assumed to be the same, with the existence of a manually preconfigured network before they start the computation. This challenge is typical of many IoT applications where the IoT devices need to collaborate using MPC but do not have the resources, and thus outsource the tasks to powerful MPC nodes. Nonetheless, in such a scenario, the IoT devices do not know the MPC nodes, and vice},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Maryna Veksler, David Langus Rodríguez, Ahmet Aris, Kemal Akkaya, A Selcuk Uluagac
LoFin: LoRa-based UAV Fingerprinting Framework Proceedings Article
In: MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), pp. 980–985, IEEE, 2022.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {LoFin: LoRa-based UAV Fingerprinting Framework},
author = {Maryna Veksler and David Langus Rodríguez and Ahmet Aris and Kemal Akkaya and A Selcuk Uluagac},
url = {https://ieeexplore.ieee.org/abstract/document/10017584/},
year = {2022},
date = {2022-11-28},
booktitle = {MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM)},
pages = {980–985},
publisher = {IEEE},
school = {Florida International University},
abstract = {The emerging proliferation of unmanned aerial vehicles (UAV) combined with their autonomous capabilities established the solid incorporation of UAVs for military applications. However, seamless deployment of drones into the adversarial environment and on the battlefield requires a robust and secure network stack, protected from adversarial intrusion. As LoRa became a low-cost solution for the long-distance control channel, it solved the challenge of long-range connectivity and prolonged lifespan present in UAV applications. However, the existing implementations lack protection mechanisms against unauthorized access. In this paper, we present LoFin, the first fingerprinting framework used to identify telemetry transceivers that communicate over the LoRa channel. LoFin exploits information leaked due to the differences in hardware structure, which results in processing time variations. Passively collecting},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Mai A Abdel-Malek, Nico Saputro, Ahmed S Ibrahim, Kemal Akkaya
Uav-assisted multi-path parallel routing for mmwave-based wireless networks Journal Article
In: Internet of Things, vol. 14, pp. 100366, 2021.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {Uav-assisted multi-path parallel routing for mmwave-based wireless networks},
author = {Mai A Abdel-Malek and Nico Saputro and Ahmed S Ibrahim and Kemal Akkaya},
url = {https://www.sciencedirect.com/science/article/pii/S254266052100010X},
year = {2021},
date = {2021-06-01},
journal = {Internet of Things},
volume = {14},
pages = {100366},
publisher = {Elsevier},
school = {Florida International University},
abstract = {The Millimeter Wave (mmWave) spectrum band, with its high bandwidth, will significantly satisfy the need for high data-demand of the next-generation communication networks. However, transmission over the mmWave band suffers from a short communication range due to its high frequency. Such short-range communication can dramatically affect the network connectivity in mesh-based networks, leading to excessive packet loss. To improve the network connectivity and thus the throughput, Unmanned Aerial Vehicles (UAVs)/drones can be utilized as relays. Along with UAVs, multi-path routing is needed to ensure better network reliability through different routes. In this paper, we propose maximizing mmWave-based mesh network connectivity via optimally deploying a number of UAVs/drones and enabling multiple parallel paths at the upper network layers. We model the optimization problem for minimizing end-to},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Mai A Abdel-Malek, Nico Saputro, Kemal Akkaya, Ahmed S Ibrahim
UAV-assisted Parallel Multi-path Routing for mmWave-based Wireless Network Journal Article
In: 2021.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {UAV-assisted Parallel Multi-path Routing for mmWave-based Wireless Network},
author = {Mai A Abdel-Malek and Nico Saputro and Kemal Akkaya and Ahmed S Ibrahim},
url = {https://repository.unpar.ac.id/handle/123456789/14749},
year = {2021},
date = {2021-00-00},
publisher = {Elsevier},
school = {Florida International University},
abstract = {The Millimeter Wave (mmWave) spectrum band, with its high bandwidth, will signifi- cantly satisfy the need for high data-demand of the next-generation communication net- works. However, transmission over the mmWave band suffers from a short communica- tion range due to its high frequency. Such short-range communication can dramatically affect the network connectivity in mesh-based networks, leading to excessive packet loss. To improve the network connectivity and thus the throughput, Unmanned Aerial Vehicles (UAVs)/drones can be utilized as relays. Along with UAVs, multi-path routing is needed to ensure better network reliability through different routes. In this paper, we propose max- imizing mmWave-based mesh network connectivity via optimally deploying a number of UAVs/drones and enabling multiple parallel paths at the upper network layers. We model the optimization problem for minimizing end-to-end delay with a minimum number of drones, we further perform a delay analysis for the received queues and obtain the link layer end-to-end delay. The evaluation is first performed through MATLAB and then veri- fied using a realistic scenario in the NS-3 simulator by assuming an IEEE 802.11ad-based wireless mesh network. The results show that the proposed UAV-assisted schemes achieve higher throughput and shorter delay compared to baselines scenario with no deployment of UAVs or single transmissions.},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Mai A Abdel-Malek, Kemal Akkaya, Arupjyoti Bhuyan, Mumin Cebe, Ahmed S Ibrahim
Enabling Second Factor Authentication for Drones in 5G using Network Slicing Proceedings Article
In: 2020 IEEE Globecom Workshops (GC Wkshps, pp. 1–6, IEEE, 2020.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Enabling Second Factor Authentication for Drones in 5G using Network Slicing},
author = {Mai A Abdel-Malek and Kemal Akkaya and Arupjyoti Bhuyan and Mumin Cebe and Ahmed S Ibrahim},
url = {https://ieeexplore.ieee.org/abstract/document/9367441/},
year = {2020},
date = {2020-12-07},
booktitle = {2020 IEEE Globecom Workshops (GC Wkshps},
pages = {1–6},
publisher = {IEEE},
school = {Florida International University},
abstract = {As 5G systems are starting to be deployed and becoming part of many daily life applications, there is an increasing interest on the security of the overall system as 5G network architecture is significantly different than LTE systems. For instance, through application specific virtual network slices, one can trigger additional security measures depending on the sensitivity of the running application. Drones utilizing 5G could be a perfect example as they pose several safety threats if they are compromised. To this end, we propose a stronger authentication mechanism inspired from the idea of second-factor authentication in IT systems. Specifically, once the primary 5G authentication is executed, a specific slice can be tasked to trigger a second-factor authentication utilizing different factors from the primary one. This trigger mechanism utilizes the re-authentication procedure as specified in the 3GPP 5G standards for easy},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Mai A Abdel-Malek, Kemal Akkaya, Nico Saputro, Ahmed S Ibrahim
Efficient authentication of drones to mmWave wireless mesh networks in post-disaster scenarios Proceedings Article
In: GLOBECOM 2020-2020 IEEE Global Communications Conference, pp. 1–6, IEEE, 2020.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Efficient authentication of drones to mmWave wireless mesh networks in post-disaster scenarios},
author = {Mai A Abdel-Malek and Kemal Akkaya and Nico Saputro and Ahmed S Ibrahim},
url = {https://ieeexplore.ieee.org/abstract/document/9322282/},
year = {2020},
date = {2020-12-07},
booktitle = {GLOBECOM 2020-2020 IEEE Global Communications Conference},
pages = {1–6},
publisher = {IEEE},
school = {Florida International University},
abstract = {Unmanned Aerial Vehicles (UAVs), or drones, are increasingly being utilized for public safety circumstances including post-disaster recovery of destroyed communication infrastructure. For instance, drones are temporarily positioned within an affected area to create a wireless mesh network among public safety personnel. To serve the need for high-rate video-based damage assessment, drone-assisted communication can utilize high-bandwidth millimeter wave (mm Wave) technologies such as IEEE 802.11ad. However, short-range mm Wave communication makes it hard for optimally-positioned drones to be authenticated with a centralized network control center. Therefore and assuming that there are potential imposters, we propose two lightweight and fast authentication mechanisms that take into account the physical limitations of mm Wave communication. First, we propose a drone-to-drone authentication},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Oscar Bautista, Kemal Akkaya, A Selcuk Uluagac
Customized novel routing metrics for wireless mesh-based swarm-of-drones applications Journal Article
In: Internet of Things, vol. 11, pp. 100265, 2020.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {Customized novel routing metrics for wireless mesh-based swarm-of-drones applications},
author = {Oscar Bautista and Kemal Akkaya and A Selcuk Uluagac},
url = {https://www.sciencedirect.com/science/article/pii/S2542660520300998},
year = {2020},
date = {2020-09-01},
journal = {Internet of Things},
volume = {11},
pages = {100265},
publisher = {Elsevier},
school = {Florida International University},
abstract = {With the proliferation of drones, there is an increasing interest on utilizing swarm-of-drones in numerous applications from surveillance to search and rescue. While a swarm-of-drones (a.k.a flying ad hoc networks (FANETs)) is essentially a special form of mobile ad-hoc networks (MANETs) which has been studied for many years, there are unique requirements of drone applications that necessitate re-visiting MANET protocols. These challenges stem from 3-D environments the drones are deployed in, and their specific way of mobility which adds to the wireless link management challenges among the drones. To tackle these challenges, in this paper, we propose adopting the current mesh standard, namely IEEE 802.11s, in its routing capabilities to provide improved performance. Specifically, we propose two new link quality routing metrics called SrFTime and CRP as an alternative to the IEEE 802.11s default Airtime},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Oscar G Bautista, Kemal Akkaya
Extending IEEE 802.11 s mesh routing for 3-D mobile drone applications in ns-3 Journal Article
In: pp. 25–32, 2020.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {Extending IEEE 802.11 s mesh routing for 3-D mobile drone applications in ns-3},
author = {Oscar G Bautista and Kemal Akkaya},
url = {https://dl.acm.org/doi/abs/10.1145/3389400.3389406},
year = {2020},
date = {2020-06-17},
pages = {25–32},
school = {Florida International University},
abstract = {Although drones applications fit into the broad category of mobile ad-hoc networks (MANET) that has been extensively studied in the past, swarm-of-drones (a.k.a flying adhoc networks (FANET)) management poses unique challenges related to 3-D environments and their particular way of mobility that increase the level of complexity for wireless link management. Such challenges impact the quality of communication and routing among drones which is crucial in many cooperative tasks. Therefore, in this paper, we propose two new routing metrics that will suit the needs of 3-D mobile mesh networks within the IEEE 802.11s mesh standard. Specifically, we design and implement Square Root Frame Time routing metric (SrFTime) and Comprehensive Radio and Power (CRP) metric, which are optimized to increase the network throughput for swarm-of-drones applications. We comprehensively explain how these},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Oscar G Bautista, Nico Saputro, Kemal Akkaya, Selcuk Uluagac
A novel routing metric for IEEE 802.11 s-based swarm-of-drones applications Journal Article
In: pp. 514–521, 2019.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {A novel routing metric for IEEE 802.11 s-based swarm-of-drones applications},
author = {Oscar G Bautista and Nico Saputro and Kemal Akkaya and Selcuk Uluagac},
url = {https://dl.acm.org/doi/abs/10.1145/3360774.3368197},
year = {2019},
date = {2019-11-12},
pages = {514–521},
school = {Florida International University},
abstract = {With the proliferation of drones in our daily lives, there is an increasing need for handling their numerous challenges. One of such challenge arises when a swarm-of-drones are deployed to accomplish a specific task which requires coordination and communication among the drones. While this swarm-of-drones is essentially a special form of mobile ad hoc networks (MANETs) which has been studied for many years, there are still some unique requirements of drone applications that necessitates re-visiting MANET approaches. These challenges stem from 3–D environments the drones are deployed in, and their specific way of mobility which adds to the wireless link management challenges among the drones. In this paper, we consider an existing routing standard that is used to enable meshing capability among Wi-Fi enabled nodes, namely IEEE 802.11s and adopt its routing capabilities for swarm-of-drones},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Mai A Abdel-Malek, Ahmed S Ibrahim, Mohamed Mokhtar, Kemal Akkaya
UAV positioning for out-of-band integrated access and backhaul millimeter wave network Journal Article
In: Physical Communication, vol. 35, pp. 100721, 2019.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {UAV positioning for out-of-band integrated access and backhaul millimeter wave network},
author = {Mai A Abdel-Malek and Ahmed S Ibrahim and Mohamed Mokhtar and Kemal Akkaya},
url = {https://www.sciencedirect.com/science/article/pii/S187449071830510X},
year = {2019},
date = {2019-08-01},
journal = {Physical Communication},
volume = {35},
pages = {100721},
publisher = {Elsevier},
school = {Florida International University},
abstract = {Unmanned Aerial Vehicles (UAVs) can play a major role in enhancing both the access and backhaul networks of the next generation of mobile networks. In this paper, we propose a novel positioning scheme that finds the optimum 3-dimensional flying locations for the UAVs to enhance the connectivity of the backhaul network, while providing the desired quality of service (QoS) for the served users in the access network. The backhaul network connectivity is represented by the algebraic connectivity (or Fiedler value), while the user equipments (UEs) signal reception quality is represented by the signal-to-interference-and-noise-ratio (SINR). We consider an out-of-band integrated access and backhaul (IAB) network, in which we consider the interference that is generated from the deployed UAVs within the access network. The formulated UAV positioning problem is modeled as a low-complexity semi-definite},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Kemal Akkaya, Vashish Baboolal, Nico Saputro, Selcuk Uluagac, Hamid Menouar
Privacy-preserving control of video transmissions for drone-based intelligent transportation systems Proceedings Article
In: 2019 IEEE Conference on Communications and Network Security (CNS), pp. 1–7, IEEE, 2019.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Privacy-preserving control of video transmissions for drone-based intelligent transportation systems},
author = {Kemal Akkaya and Vashish Baboolal and Nico Saputro and Selcuk Uluagac and Hamid Menouar},
url = {https://ieeexplore.ieee.org/abstract/document/8802665/},
year = {2019},
date = {2019-06-10},
booktitle = {2019 IEEE Conference on Communications and Network Security (CNS)},
pages = {1–7},
publisher = {IEEE},
school = {Florida International University},
abstract = {The drones are now frequently used for many smart city applications including intelligent transportation to provide situational awareness for drivers as well as other stakeholders that manage the traffic. In such situations one of the widely collected data is video that is recorded by a drone and streamed in real-time to a remote control center. The data can then be accessed through cloud services to do further analysis and take actions. However, this captured video may contain private information from the passing by citizens and allow recognition and tracking if it is intercepted by malicious users. While the video data can be stored as encrypted in the cloud, this still does not address the privacy problem as the third party providers still need to decrypt the data to perform any further processing. To address this issue, we propose using fully homomorphic encryption (FHE)which will not only provide confidentiality of the},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Vashish Baboolal, Kemal Akkaya, Nico Saputro, Khaled Rabieh
Preserving privacy of drone videos using proxy re-encryption technique: poster Journal Article
In: pp. 336–337, 2019.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {Preserving privacy of drone videos using proxy re-encryption technique: poster},
author = {Vashish Baboolal and Kemal Akkaya and Nico Saputro and Khaled Rabieh},
url = {https://dl.acm.org/doi/abs/10.1145/3317549.3326319},
year = {2019},
date = {2019-05-15},
pages = {336–337},
school = {Florida International University},
abstract = {Unmanned Aerial Vehicles (UAVs) also known as drones are being used in many applications where they can record or stream video. One of such applications is the Intelligent Transportation Systems (ITS) where drones may need to record videos and send a control center to be shared by various clients such as law enforcement or emergency personnel. In such cases, the recording might include faces of civilians or other sensitive information that might pose privacy concerns. While the video can be encrypted and stored in the cloud that way, it can still be accessed once the keys are exposed to third parties. To prevent such cases, in this paper, we propose a proxy re-encryption technique that will provide a key to third parties that can be used only once to access the videos. The key management is handled by a trusted control center. The implementation results indicate that there is almost no additional overhead},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Vashish Baboolal, Kemal Akkaya, Saputro Nico, Khaled Rabieh
POSTER: preserving privacy of drone videos using proxy re-encryption technique Journal Article
In: 2019.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {POSTER: preserving privacy of drone videos using proxy re-encryption technique},
author = {Vashish Baboolal and Kemal Akkaya and Saputro Nico and Khaled Rabieh},
url = {https://repository.unpar.ac.id/handle/123456789/14793},
year = {2019},
date = {2019-00-00},
school = {Florida International University},
abstract = {Unmanned Aerial Vehicles (UAVs) also known as drones are being used in many applications where they can record or stream video. One of such applications is the Intelligent Transportation Systems (ITS) where drones may need to record videos and send a control center to be shared by various clients such as law enforcement or emergency personnel. In such cases, the recording might include faces of civilians or other sensitive information that might pose privacy concerns. While the video can be encrypted and stored in the cloud that way, it can still be accessed once the keys are exposed to third parties. To prevent such cases, in this paper, we propose a proxy re-encryption technique that will provide a key to third parties that can be used only once to access the videos. The key management is handled by a trusted control center. The implementation results indicate that there is almost no additional overhead with the approach while it can still preserve the privacy.},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Mai A Abdel Malek, Nico Saputro, Kemal Akkaya, Ahmed S Ibrahim
UAV assisted Secure Routing for Millimeter WaveWireless Mesh Networks Journal Article
In: 2019.
Abstract | Links | BibTeX | Tags: Drones
@article{nokey,
title = {UAV assisted Secure Routing for Millimeter WaveWireless Mesh Networks},
author = {Mai A Abdel Malek and Nico Saputro and Kemal Akkaya and Ahmed S Ibrahim},
url = {https://repository.unpar.ac.id/handle/123456789/14796},
year = {2019},
date = {2019-00-00},
school = {Florida International University},
abstract = {UAV assisted Secure Routing for Millimeter WaveWireless Mesh Networks UAV assisted Secure Routing for Millimeter WaveWireless Mesh Networks Login UNPAR Institutional Repository 15. Poster 2019 View Item UAV assisted Secure Routing for Millimeter WaveWireless Mesh Networks Abdel Malek, Mai A.; Saputro, Nico; Akkaya, Kemal; Ibrahim, Ahmed S. URI: http://hdl.handle.net/123456789/14796 Date: 2019 Show full item record Files in this item Icon Name: Poster_Nico_UAV-a ... Size: 518.2Kb Format: PDF View/Open This item appears in the following Collection(s) 2019 [1] Search UNPAR-IR Search UNPAR-IR This Collection Advanced Search Browse All of UNPAR Institutional Repository Communities & Collections By Issue Date Authors Titles Subjects Advisor This Collection By Issue Date Authors Titles Subjects Advisor My Account Login Register DSpace software copyright 2002-2015},
keywords = {Drones},
pubstate = {published},
tppubtype = {article}
}
Nico Saputro, Kemal Akkaya, Selcuk Uluagac
Supporting seamless connectivity in drone-assisted intelligent transportation systems Proceedings Article
In: 2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops), pp. 110–116, IEEE, 2018.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Supporting seamless connectivity in drone-assisted intelligent transportation systems},
author = {Nico Saputro and Kemal Akkaya and Selcuk Uluagac},
url = {https://ieeexplore.ieee.org/abstract/document/8628496/},
year = {2018},
date = {2018-10-01},
booktitle = {2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops)},
pages = {110–116},
publisher = {IEEE},
school = {Florida International University},
abstract = {Considering emergency scenarios for intelligent transportation applications, we propose a swarm of drones communication architecture that can sustain connectivity to assist the authorities for damage assessments. The connectivity sustenance needs stem from the fact that drones may move to various locations in response to service requests from the authorities but they still need to cooperate for data collection and transmissions. To address this need, we propose a centralized connectivity maintenance heuristic which will enable the swarm to dynamically adapt its formation in response to the service requests while ensuring uninterrupted live assessment reports. To select the moving drone(s), the minimum connected dominating set concept is utilized to come up with three strategies of mixed stretching or moving heuristic for the connectivity restoration. The proposed architecture and heuristics are implemented in},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Nico Saputro, Kemal Akkaya, Ramazan Algin, Selcuk Uluagac
Drone-assisted multi-purpose roadside units for intelligent transportation systems Proceedings Article
In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), pp. 1–5, IEEE, 2018.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Drone-assisted multi-purpose roadside units for intelligent transportation systems},
author = {Nico Saputro and Kemal Akkaya and Ramazan Algin and Selcuk Uluagac},
url = {https://ieeexplore.ieee.org/abstract/document/8690977/},
year = {2018},
date = {2018-08-27},
booktitle = {2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)},
pages = {1–5},
publisher = {IEEE},
school = {Florida International University},
abstract = {As drones are becoming prevalent to be deployed in various civic applications, there is a need to integrate them into efficient and secure communications with the existing infrastructure. In this paper, considering emergency scenarios for intelligent transportation applications, we design a secure hybrid communication infrastructure for mobile road-side units (RSUs) that are based on drones. The architecture tackles interoperability issues when Dedicated Short Range Communications (DSRC), wireless mesh, and LTE need to coexist for coordination. Specifically, we propose a novel tunneling protocol to integrate LTE with IEEE 802.11s mesh network. In addition, we ensure that only legitimate users can connect and control the mobile RSUs by integrating an authentication framework built on top of the recent OAuth 2.0 standard. A detailed communication protocol is proposed within the elements of the architecture},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Hamidullah Binol, Eyuphan Bulut, Kemal Akkaya, Ismail Guvenc
Time optimal multi-UAV path planning for gathering its data from roadside units Proceedings Article
In: 2018 IEEE 88th vehicular technology conference (VTC-Fall), pp. 1–5, IEEE, 2018.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Time optimal multi-UAV path planning for gathering its data from roadside units},
author = {Hamidullah Binol and Eyuphan Bulut and Kemal Akkaya and Ismail Guvenc},
url = {https://ieeexplore.ieee.org/abstract/document/8690730/},
year = {2018},
date = {2018-08-27},
booktitle = {2018 IEEE 88th vehicular technology conference (VTC-Fall)},
pages = {1–5},
publisher = {IEEE},
school = {Florida International University},
abstract = {In this paper, we address the problem of path planning for multiple unmanned aerial vehicles (UAVs), to gather data from a number of roadside units (RSUs). The problem involves finding time-optimal paths for multiple UAVs so that they collectively visit all the RSUs, while also exchanging information at their own point when they fly from a starting point to the final location. We solve the problem by applying modified evolutionary methods based on genetic algorithm (GA) and harmony search (HS). The modified search methods seek to determine the overall shortest path utilizing various evolutionary operators regarding each UAV which has identical properties at the start location. Numerical results are introduced under different scenarios and the performances of the proposed algorithms are evaluated.},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Hamid Menouar, Ismail Guvenc, Kemal Akkaya, A Selcuk Uluagac, Abdullah Kadri, Adem Tuncer
UAV-enabled intelligent transportation systems for the smart city: Applications and challenges Proceedings Article
In: pp. 22–28, IEEE, 2017.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {UAV-enabled intelligent transportation systems for the smart city: Applications and challenges},
author = {Hamid Menouar and Ismail Guvenc and Kemal Akkaya and A Selcuk Uluagac and Abdullah Kadri and Adem Tuncer},
url = {https://ieeexplore.ieee.org/abstract/document/7876852/},
year = {2017},
date = {2017-03-13},
volume = {55},
number = {3},
issue = {3},
pages = {22–28},
publisher = {IEEE},
school = {Florida International University},
abstract = {There could be no smart city without a reliable and efficient transportation system. This necessity makes the ITS a key component of any smart city concept. While legacy ITS technologies are deployed worldwide in smart cities, enabling the next generation of ITS relies on effective integration of connected and autonomous vehicles, the two technologies that are under wide field testing in many cities around the world. Even though these two emerging technologies are crucial in enabling fully automated transportation systems, there is still a significant need to automate other road and transportation components. To this end, due to their mobility, autonomous operation, and communication/processing capabilities, UAVs are envisaged in many ITS application domains. This article describes the possible ITS applications that can use UAVs, and highlights the potential and challenges for UAV-enabled ITS for next},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Edwin Vattapparamban, Ismail Güvenç, Ali I Yurekli, Kemal Akkaya, Selçuk Uluağaç
Drones for smart cities: Issues in cybersecurity, privacy, and public safety Proceedings Article
In: pp. 216–221, IEEE, 2016.
Abstract | Links | BibTeX | Tags: Drones
@inproceedings{nokey,
title = {Drones for smart cities: Issues in cybersecurity, privacy, and public safety},
author = {Edwin Vattapparamban and Ismail Güvenç and Ali I Yurekli and Kemal Akkaya and Selçuk Uluağaç},
url = {https://ieeexplore.ieee.org/abstract/document/7577060/},
year = {2016},
date = {2016-09-05},
pages = {216–221},
publisher = {IEEE},
school = {Florida International University},
abstract = {It is expected that drones will take a major role in the connected smart cities of the future. They will be delivering goods and merchandise, serving as mobile hot spots for broadband wireless access, and maintaining surveillance and security of smart cities. However, pervasive use of drones for future smart cities also brings together several technical and societal concerns and challenges that needs to be addressed, including in the areas of cybersecurity, privacy, and public safety. Drones, while can be used for the betterment of the society, can also be used by malicious entities to conduct physical and cyber attacks, and threaten the society. The goal of this survey paper is to review various aspects of drones in future smart cities, relating to cybersecurity, privacy, and public safety. We will also provide representative results on cyber attacks using drones.},
keywords = {Drones},
pubstate = {published},
tppubtype = {inproceedings}
}
Citations: 18671
h-index: 54
i10-index: 162