1.
Oscar G Bautista, Mohammad Hossein Manshaei, Richard Hernandez, Kemal Akkaya, Soamar Homsi, Selcuk Uluagac
Mpc-abc: Blockchain-based network communication for efficiently secure multiparty computation Journal Article
In: Journal of Network and Systems Management, vol. 31, iss. 4, no. 4, pp. 68, 2023.
Abstract | Links | BibTeX | Tags: Digital Forensics
@article{nokey,
title = {Mpc-abc: Blockchain-based network communication for efficiently secure multiparty computation},
author = {Oscar G Bautista and Mohammad Hossein Manshaei and Richard Hernandez and Kemal Akkaya and Soamar Homsi and Selcuk Uluagac},
url = {https://link.springer.com/article/10.1007/s10922-023-09739-y},
year = {2023},
date = {2023-10-00},
journal = {Journal of Network and Systems Management},
volume = {31},
number = {4},
issue = {4},
pages = {68},
publisher = {Springer US},
school = {Florida International University},
abstract = {Secure Multiparty Computation (MPC) offers privacy-preserving computation that could be critical in many health and finance applications. Specifically, two or more parties jointly compute a function on private inputs by following a protocol executed in rounds. The MPC network typically consists of direct peer-to-peer (P2P) connections among parties. However, this significantly increases the computation time as parties need to wait for messages from each other, thus making network communication a bottleneck. Most recent works tried to address the communication efficiency by focusing on optimizing the MPC protocol rather than the underlying network topologies and protocols. In this paper, we propose the MPC over Algorand Blockchain (MPC-ABC) protocol that packs messages into Algorand transactions and utilizes its fast gossip protocol to transmit them efficiently among MPC parties. Our approach, therefore},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {article}
}
Secure Multiparty Computation (MPC) offers privacy-preserving computation that could be critical in many health and finance applications. Specifically, two or more parties jointly compute a function on private inputs by following a protocol executed in rounds. The MPC network typically consists of direct peer-to-peer (P2P) connections among parties. However, this significantly increases the computation time as parties need to wait for messages from each other, thus making network communication a bottleneck. Most recent works tried to address the communication efficiency by focusing on optimizing the MPC protocol rather than the underlying network topologies and protocols. In this paper, we propose the MPC over Algorand Blockchain (MPC-ABC) protocol that packs messages into Algorand transactions and utilizes its fast gossip protocol to transmit them efficiently among MPC parties. Our approach, therefore
2.
Maryna Veksler, Ramazan Aygun, Kemal Akkaya, Sitharama Iyengar
Video Origin Camera Identification using Ensemble CNNs of Positional Patches Proceedings Article
In: 2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 41–46, IEEE, 2022.
Abstract | Links | BibTeX | Tags: Digital Forensics
@inproceedings{nokey,
title = {Video Origin Camera Identification using Ensemble CNNs of Positional Patches},
author = {Maryna Veksler and Ramazan Aygun and Kemal Akkaya and Sitharama Iyengar},
url = {https://ieeexplore.ieee.org/abstract/document/9874688/},
year = {2022},
date = {2022-08-02},
booktitle = {2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR)},
pages = {41–46},
publisher = {IEEE},
school = {Florida International University},
abstract = {The use of multimedia devices has increased immensely with the availability of affordable mobile loT technologies. Consequently, video capturing applications are incorporated in many crucial sectors including crime investigations and surveillance. In such applications, it is important to ensure the integrity of the video data and verify its source for digital forensics purposes. In this paper, we tackle the problem of video source camera identification to validate the origin of video data that may come from numerous types of cameras. Specifically, we propose a novel approach based on ensemble of convolutional neural networks (CNNs) for detection of video source. In our approach, the video is analyzed using patches obtained from I-frames after splitting each frame into quadrants and training a CNN per quadrant for location awareness. Our experimental results demonstrate that our model brings significant improvement},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {inproceedings}
}
The use of multimedia devices has increased immensely with the availability of affordable mobile loT technologies. Consequently, video capturing applications are incorporated in many crucial sectors including crime investigations and surveillance. In such applications, it is important to ensure the integrity of the video data and verify its source for digital forensics purposes. In this paper, we tackle the problem of video source camera identification to validate the origin of video data that may come from numerous types of cameras. Specifically, we propose a novel approach based on ensemble of convolutional neural networks (CNNs) for detection of video source. In our approach, the video is analyzed using patches obtained from I-frames after splitting each frame into quadrants and training a CNN per quadrant for location awareness. Our experimental results demonstrate that our model brings significant improvement
3.
Suat Mercan, Mumin Cebe, Ramazan S Aygun, Kemal Akkaya, Elijah Toussaint, Dominik Danko
Blockchain‐based video forensics and integrity verification framework for wireless Internet‐of‐Things devices Journal Article
In: Security and Privacy, vol. 4, iss. 2, no. 2, pp. e143, 2021.
Abstract | Links | BibTeX | Tags: Digital Forensics
@article{nokey,
title = {Blockchain‐based video forensics and integrity verification framework for wireless Internet‐of‐Things devices},
author = {Suat Mercan and Mumin Cebe and Ramazan S Aygun and Kemal Akkaya and Elijah Toussaint and Dominik Danko},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/spy2.143},
year = {2021},
date = {2021-03-00},
journal = {Security and Privacy},
volume = {4},
number = {2},
issue = {2},
pages = {e143},
publisher = {Wiley Periodicals, Inc.},
school = {Florida International University},
abstract = {A camera footage which is essential for forensic investigations can easily be modified with advanced video tampering techniques. This makes it necessary to employ novel methods to retain and prove the integrity of captured scene in criminal investigations. In this vein, blockchain technology has received a substantial interest in the last decade as it provides trust among users without a trusted third party, which enabled a myriad of applications. To this end, we propose a framework that utilizes blockchain technology to verify integrity of a camera footage recorded by a resourceconstrained wireless Internet of Things (IoT) device. The proposed approach computes the hash of the video data before it leaves the IoT device to ensure the integrity. The hash is then stored on a permissioned blockchain platform that enables detection of tampering in the video. The continuous stream is segmented efficiently to have},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {article}
}
A camera footage which is essential for forensic investigations can easily be modified with advanced video tampering techniques. This makes it necessary to employ novel methods to retain and prove the integrity of captured scene in criminal investigations. In this vein, blockchain technology has received a substantial interest in the last decade as it provides trust among users without a trusted third party, which enabled a myriad of applications. To this end, we propose a framework that utilizes blockchain technology to verify integrity of a camera footage recorded by a resourceconstrained wireless Internet of Things (IoT) device. The proposed approach computes the hash of the video data before it leaves the IoT device to ensure the integrity. The hash is then stored on a permissioned blockchain platform that enables detection of tampering in the video. The continuous stream is segmented efficiently to have
4.
Umit Karabiyik, Kemal Akkaya
Digital forensics for IoT and WSNS Journal Article
In: Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances, pp. 171–207, 2019.
Abstract | Links | BibTeX | Tags: Digital Forensics
@article{nokey,
title = {Digital forensics for IoT and WSNS},
author = {Umit Karabiyik and Kemal Akkaya},
url = {https://link.springer.com/chapter/10.1007/978-3-319-92384-0_6},
year = {2019},
date = {2019-00-00},
journal = {Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances},
pages = {171–207},
publisher = {Springer International Publishing},
school = {Florida International University},
abstract = {In the last decade, wireless sensor networks (WSNs) and Internet-of-Things (IoT) devices are proliferated in many domains including critical infrastructures such as energy, transportation and manufacturing. Consequently, most of the daily operations now rely on the data coming from wireless sensors or IoT devices and their actions. In addition, personal IoT devices are heavily used for social media applications, which connect people as well as all critical infrastructures to each other under the cyber domain. However, this connectedness also comes with the risk of increasing number of cyber attacks through WSNs and/or IoT. While a significant research has been dedicated to secure WSN/IoT, this still indicates that there needs to be forensics mechanisms to be able to conduct investigations and analysis. In particular, understanding what has happened after a failure or an attack is crucial to many businesses},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {article}
}
In the last decade, wireless sensor networks (WSNs) and Internet-of-Things (IoT) devices are proliferated in many domains including critical infrastructures such as energy, transportation and manufacturing. Consequently, most of the daily operations now rely on the data coming from wireless sensors or IoT devices and their actions. In addition, personal IoT devices are heavily used for social media applications, which connect people as well as all critical infrastructures to each other under the cyber domain. However, this connectedness also comes with the risk of increasing number of cyber attacks through WSNs and/or IoT. While a significant research has been dedicated to secure WSN/IoT, this still indicates that there needs to be forensics mechanisms to be able to conduct investigations and analysis. In particular, understanding what has happened after a failure or an attack is crucial to many businesses
5.
Mumin Cebe, Enes Erdin, Kemal Akkaya, Hidayet Aksu, Selcuk Uluagac
Block4forensic: An integrated lightweight blockchain framework for forensics applications of connected vehicles Proceedings Article
In: pp. 50–57, IEEE, 2018.
Abstract | Links | BibTeX | Tags: Digital Forensics
@inproceedings{nokey,
title = {Block4forensic: An integrated lightweight blockchain framework for forensics applications of connected vehicles},
author = {Mumin Cebe and Enes Erdin and Kemal Akkaya and Hidayet Aksu and Selcuk Uluagac},
url = {https://ieeexplore.ieee.org/abstract/document/8493118/},
year = {2018},
date = {2018-10-16},
journal = {IEEE communications magazine},
volume = {56},
number = {10},
issue = {10},
pages = {50–57},
publisher = {IEEE},
school = {Florida International University},
abstract = {Today's vehicles are becoming cyber-physical systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {inproceedings}
}
Today's vehicles are becoming cyber-physical systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate
6.
Kemal Akkaya, Izzet Senturk, Shadi Janansefat
Mobile sensing platforms for implementing mobile sensor networks Journal Article
In: Cooperative Robots and Sensor Networks 2014, pp. 159–181, 2014.
Abstract | Links | BibTeX | Tags: Digital Forensics
@article{nokey,
title = {Mobile sensing platforms for implementing mobile sensor networks},
author = {Kemal Akkaya and Izzet Senturk and Shadi Janansefat},
url = {https://link.springer.com/chapter/10.1007/978-3-642-55029-4_8},
year = {2014},
date = {2014-00-00},
journal = {Cooperative Robots and Sensor Networks 2014},
pages = {159–181},
publisher = {Springer Berlin Heidelberg},
school = {Florida International University},
abstract = {Wireless Sensor Networks (WSNs) have received significant attention from the wireless networking research community within the last decade due to their potential to be deployed in many real-life applications where human accessibility is limited. While early deployments of WSNs utilized stationary tiny sensors, later, due to wide range of application possibilities, deployment of mobile sensors within WSNs were considered. These sensors have been used for both sensing and mobility purposes which led to a new type of WSNs called Mobile Sensor Networks (MSNs). In this chapter, we examine various mobile sensors from the perspective of their design, implementation and how they form a network. In particular, we investigate the characteristics of existing MSN testbeds and categorize them based on these characteristics. We also provide future research issues in regards to MSN testbeds and their},
keywords = {Digital Forensics},
pubstate = {published},
tppubtype = {article}
}
Wireless Sensor Networks (WSNs) have received significant attention from the wireless networking research community within the last decade due to their potential to be deployed in many real-life applications where human accessibility is limited. While early deployments of WSNs utilized stationary tiny sensors, later, due to wide range of application possibilities, deployment of mobile sensors within WSNs were considered. These sensors have been used for both sensing and mobility purposes which led to a new type of WSNs called Mobile Sensor Networks (MSNs). In this chapter, we examine various mobile sensors from the perspective of their design, implementation and how they form a network. In particular, we investigate the characteristics of existing MSN testbeds and categorize them based on these characteristics. We also provide future research issues in regards to MSN testbeds and their
Citations: 18671
h-index: 54
i10-index: 162