Visible to the public Biblio

Filters: Author is Ahmed, Irfan  [Clear All Filters]
2019-07-01
Senthivel, Saranyan, Dhungana, Shrey, Yoo, Hyunguk, Ahmed, Irfan, Roussev, Vassil.  2018.  Denial of Engineering Operations Attacks in Industrial Control Systems. Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy. :319–329.
We present a new type of attack termed denial of engineering operations in which an attacker can interfere with the normal cycle of an engineering operation leading to a loss of situational awareness. Specifically, the attacker can deceive the engineering software during attempts to retrieve the ladder logic program from a programmable logic controller (PLC) by manipulating the ladder logic on the PLC, such that the software is unable to process it while the PLC continues to execute it successfully. This attack vector can provide sufficient cover for the attacker»s actual scenario to play out while the owner tries to understand the problem and reestablish positive operational control. To enable the forensic analysis and, eventually, eliminate the threat, we have developed the first decompiler for ladder logic programs. Ladder logic is a graphical programming language for PLCs that control physical processes such as power grid, pipelines, and chemical plants; PLCs are a common target of malicious modifications leading to the compromise of the control behavior (and potentially serious consequences). Our decompiler, Laddis, transforms a low-level representation to its corresponding high-level original representation comprising of graphical symbols and connections. The evaluation of the accuracy of the decompiler on the program of varying complexity demonstrates perfect reconstruction of the original program. We present three new attack scenarios on PLC-deployed ladder logic and demonstrate the effectiveness of the decompiler on these scenarios.
2017-05-19
Ahmed, Irfan, Roussev, Vassil, Johnson, William, Senthivel, Saranyan, Sudhakaran, Sneha.  2016.  A SCADA System Testbed for Cybersecurity and Forensic Research and Pedagogy. Proceedings of the 2Nd Annual Industrial Control System Security Workshop. :1–9.

This paper presents a supervisory control and data acquisition (SCADA) testbed recently built at the University of New Orleans. The testbed consists of models of three industrial physical processes: a gas pipeline, a power transmission and distribution system, and a wastewater treatment plant–these systems are fully-functional and implemented at small-scale. It utilizes real-world industrial equipment such as transformers, programmable logic controllers (PLC), aerators, etc., bringing it closer to modeling real-world SCADA systems. Sensors, actuators, and PLCs are deployed at each physical process system for local control and monitoring, and the PLCs are also connected to a computer running human-machine interface (HMI) software for monitoring the status of the physical processes. The testbed is a useful resource for cybersecurity research, forensic research, and education on different aspects of SCADA systems such as PLC programming, protocol analysis, and demonstration of cyber attacks.

2017-04-24
Tamrakar, Anjila, Russell, Justin D., Ahmed, Irfan, Richard, III, Golden G., Weems, Carl F..  2016.  SPICE: A Software Tool for Bridging the Gap Between End-user's Insecure Cyber Behavior and Personality Traits. Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy. :124–126.

End users are prone to insecure cyber behavior that may lead them to compromise the integrity, availability or confidentiality of their computer systems. For instance, replying to a phishing email may compromise an end user's login credentials. Identifying tendency toward insecure cyber behavior is critically important to improve cyber security posture and thesis of this paper is that the susceptibility of end-users to be a victim of a cyber-attack may be predicted using personality traits such as trait anxiety and callousness. This paper presents an easily configurable, script-based software tool to explore the relationships between the personality traits and insecure cyber behaviors of end users. The software utilizes well-established cognitive methods (such as dot probe) to identify a number of personality traits for a user and further allows researchers to design and conduct experiments through customizable scripting to study the endusers' insecure cyber behaviors. The software also collects fine-grained data on users for analysis.