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.
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Papers
Patent
Context-aware intrusion detection method for smart devices with sensors
Amit Kumar Sikder,Hidayet Aksu,A. Selcuk Uluagac +2 more
- 10 Oct 2017
TL;DR: In this paper, a smart device can include a data-oriented sensor providing a numerical value, a logic oriented sensor providing state, a sensor value collector connected to the data oriented sensor and a sensor logic state detector, and a data analyzer connected with the data processor.
16
An Analysis of Malware Trends in Enterprise Networks.
Abbas Acar,Long Lu,A. Selcuk Uluagac,Engin Kirda +3 more
- 16 Sep 2019
TL;DR: The results confirm the general consensus that AV-only solutions are not enough for real-time defenses in enterprise settings because on average 40% of the malware samples, when first appeared, are not detected by most AVs on VirusTotal or not uploaded to VT at all.
15
A First Look at Code Obfuscation for WebAssembly
Shrenik Bhansali,Ahmet Aris,Abbas Acar,Harun Oz,A. Selcuk Uluagac +4 more
- 16 May 2022
TL;DR: This paper applies numerous obfuscation techniques to Wasm programs, and test their effectiveness in producing a fully obfuscated Wasm program, and shows that obfuscation can be highly effective and can cause even a state-of-the-art detector to misclassify the obfuscate Wasm samples.
15
Patent
Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis
Leonardo Babun,Hidayet Aksu,A. Selcuk Uluagac +2 more
- 04 Jan 2018
TL;DR: In this paper, a method for cyber physical systems device classification is provided, which can include receiving system and function calls and parameters and a device performance index from an unknown CPS device and a Device Performance Index of similar class of CPS devices.
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•Posted Content
An Analysis of Malware Trends in Enterprise Networks
TL;DR: In this article, the authors present an empirical and large-scale analysis of malware samples captured from two different enterprises from 2017 to early 2018, and perform threat vector, social-engineering, vulnerability and time-series analysis on their dataset.