1.
Khaled Rabieh, Kemal Akkaya, Umit Karabiyik, Jennifer Qamruddin
A secure and cloud-based medical records access scheme for on-road emergencies Proceedings Article
In: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1–8, IEEE, 2018.
Abstract | Links | BibTeX | Tags: Smart City
@inproceedings{nokey,
title = {A secure and cloud-based medical records access scheme for on-road emergencies},
author = {Khaled Rabieh and Kemal Akkaya and Umit Karabiyik and Jennifer Qamruddin},
url = {https://ieeexplore.ieee.org/abstract/document/8319175/},
year = {2018},
date = {2018-01-12},
booktitle = {2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)},
pages = {1–8},
publisher = {IEEE},
school = {Florida International University},
abstract = {On-road emergencies necessitates the availability of the patient's medical records to the emergency centers for better treatment. However, these medical records are often encrypted to preserve the patient's privacy. Revealing the secret key used to encrypt these records to the emergency center would not only give unlimited unauthorized future access to the medical records but also pose privacy concerns for the patient. In this paper, we propose a secure medical records access scheme that can be used to serve the patient effectively. An emergency medical center is able to decrypt a patient's medical records without revealing the secret key used to encrypt them with the help of the patient's smart phone and the cloud server. We use proxy re-encryption scheme to trigger a re-encryption process at the cloud server by sending the required credentials. With the help of the cloud server, only a specific emergency center},
keywords = {Smart City},
pubstate = {published},
tppubtype = {inproceedings}
}
On-road emergencies necessitates the availability of the patient's medical records to the emergency centers for better treatment. However, these medical records are often encrypted to preserve the patient's privacy. Revealing the secret key used to encrypt these records to the emergency center would not only give unlimited unauthorized future access to the medical records but also pose privacy concerns for the patient. In this paper, we propose a secure medical records access scheme that can be used to serve the patient effectively. An emergency medical center is able to decrypt a patient's medical records without revealing the secret key used to encrypt them with the help of the patient's smart phone and the cloud server. We use proxy re-encryption scheme to trigger a re-encryption process at the cloud server by sending the required credentials. With the help of the cloud server, only a specific emergency center
2.
Edwin Vattapparamban, Bekir Sait Çiftler, Ismail Güvenç, Kemal Akkaya, Abdullah Kadri
Indoor occupancy tracking in smart buildings using passive sniffing of probe requests Proceedings Article
In: 2016 IEEE International Conference on Communications Workshops (ICC), pp. 38–44, IEEE, 2016.
Abstract | Links | BibTeX | Tags: Smart City
@inproceedings{nokey,
title = {Indoor occupancy tracking in smart buildings using passive sniffing of probe requests},
author = {Edwin Vattapparamban and Bekir Sait Çiftler and Ismail Güvenç and Kemal Akkaya and Abdullah Kadri},
url = {https://ieeexplore.ieee.org/abstract/document/7503761/},
year = {2016},
date = {2016-05-23},
booktitle = {2016 IEEE International Conference on Communications Workshops (ICC)},
pages = {38–44},
publisher = {IEEE},
school = {Florida International University},
abstract = {Zone-level occupancy tracking is a critical technology for smart buildings and can be used for applications such as building energy management, surveillance, and security. Existing occupancy tracking techniques typically require installation of large number of occupancy monitoring sensors inside a building as well as an established network. In this study, in order to achieve occupancy tracking, we consider the use of WiFi probe requests that are continuously transmitted from WiFi enabled smart devices. To this end, WiFi Pineapple equipment are used for passively capturing ambient probe requests from WiFi devices such as smart phones and tablets, where no connectivity to a WiFi network is required. This information is then used to localize users within coarsely defined occupancy zones, and subsequently obtain occupancy count within each zone at different time scales. Our numerical results using WiFi data},
keywords = {Smart City},
pubstate = {published},
tppubtype = {inproceedings}
}
Zone-level occupancy tracking is a critical technology for smart buildings and can be used for applications such as building energy management, surveillance, and security. Existing occupancy tracking techniques typically require installation of large number of occupancy monitoring sensors inside a building as well as an established network. In this study, in order to achieve occupancy tracking, we consider the use of WiFi probe requests that are continuously transmitted from WiFi enabled smart devices. To this end, WiFi Pineapple equipment are used for passively capturing ambient probe requests from WiFi devices such as smart phones and tablets, where no connectivity to a WiFi network is required. This information is then used to localize users within coarsely defined occupancy zones, and subsequently obtain occupancy count within each zone at different time scales. Our numerical results using WiFi data
3.
Kemal Akkaya, Ismail Guvenc, Ramazan Aygun, Nezih Pala, Abdullah Kadri
IoT-based occupancy monitoring techniques for energy-efficient smart buildings Proceedings Article
In: pp. 58–63, IEEE, 2015.
Abstract | Links | BibTeX | Tags: Smart City
@inproceedings{nokey,
title = {IoT-based occupancy monitoring techniques for energy-efficient smart buildings},
author = {Kemal Akkaya and Ismail Guvenc and Ramazan Aygun and Nezih Pala and Abdullah Kadri},
url = {https://ieeexplore.ieee.org/abstract/document/7122529/},
year = {2015},
date = {2015-03-09},
pages = {58–63},
publisher = {IEEE},
school = {Florida International University},
abstract = {With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect, the major challenges we envision are 1) to achieve occupancy monitoring in a minimally intrusive way, e.g., using the existing infrastructure in the buildings and not requiring installation of any apps in the users' smart devices, and 2) to develop effective data fusion techniques for improving occupancy monitoring accuracy using a multitude of sources. This paper surveys the existing works on occupancy monitoring and multi-modal data fusion techniques for smart commercial buildings. The goal is to lay down a framework},
keywords = {Smart City},
pubstate = {published},
tppubtype = {inproceedings}
}
With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect, the major challenges we envision are 1) to achieve occupancy monitoring in a minimally intrusive way, e.g., using the existing infrastructure in the buildings and not requiring installation of any apps in the users' smart devices, and 2) to develop effective data fusion techniques for improving occupancy monitoring accuracy using a multitude of sources. This paper surveys the existing works on occupancy monitoring and multi-modal data fusion techniques for smart commercial buildings. The goal is to lay down a framework
Citations: 18671
h-index: 54
i10-index: 162