A. Selcuk Uluagac
Florida International University
146 Papers
611 Citations
A. Selcuk Uluagac is an academic researcher from Florida International University. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 26, co-authored 130 publications. Previous affiliations of A. Selcuk Uluagac include Georgia Institute of Technology & Carnegie Mellon University.
Chat about Author
Papers
Attacking HDMI distribution networks: poster
Luis Puche Rondon,Leonardo Babun,Kemal Akkaya,A. Selcuk Uluagac +3 more
- 15 May 2019
TL;DR: It is shown that by leveraging CEC to an attackers advantage, it is feasible for an attacker to reach devices which were formerly unreachable, and gain arbitrary control of HDMI devices.
Software defined networking for wireless local networks in Smart Grid
Kemal Akkaya,A. Selcuk Uluagac,Abdullah Aydeger +2 more
- 26 Oct 2015
TL;DR: This paper introduces three novel SDN deployment scenarios in local networks of Smart Grid and investigates the pertinent security aspects with each deployment scenario along with possible solutions.
SIMAGE: Secure and Link-Quality Cognizant Image Distribution for wireless sensor networks
K. C. Ramalingam,Venkatachalam Subramanian,A. Selcuk Uluagac,Raheem Beyah +3 more
- 01 Dec 2012
TL;DR: This paper proposes a simple approach, Secure and Link-Quality Cognizant Image Distribution (SIMAGE), to enhance the existing code dissemination protocol using the available resources in the sensors and adjusts to the varying link conditions via dynamic packet sizing to reduce the number of retransmissions and overall code dissemination time.
Ad Hoc Networks
TL;DR: In order to systematically analyze the security of E-IoT systems, this work divides EIoT systems into four layers: E-IoT Devices Layer, Communications Layer, Monitoring and Applications Layer, and Business Layer, and surveys attacks and defense mechanisms.
•Posted Content
A System-level Behavioral Detection Framework for Compromised CPS Devices: Smart-Grid Case
TL;DR: This article introduces a novel and configurable system-level framework that is the first in detecting compromised CPS smart grid devices with system and function-level call tracing techniques and reveals an excellent rate for the detection of compromised devices.