Raheem Beyah
Georgia Institute of Technology
199 Papers
1.1K Citations
Raheem Beyah is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 33, co-authored 173 publications. Previous affiliations of Raheem Beyah include Cisco Systems, Inc. & Georgia State University.
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Papers
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings
Yu-Shun Mao,Chong Fu,Saizhuo Wang,Shouling Ji,Xuhong Zhang,Zhenguang Liu,Junfeng Zhou,Alex X. Liu,Raheem Beyah,Ting Wang +9 more
- 07 Apr 2022
TL;DR: This is the first large-scale systematic empirical study of transfer attacks against major cloud-based MLaaS platforms, taking the components of a real transfer attack into account, and demonstrates that transfer attacks possess many previously unknown properties in real-world environments.
A physical overlay framework for insider threat mitigation of power system devices
David Formby,Sang Shin Jung,Seth Walters,Raheem Beyah +3 more
- 01 Nov 2014
TL;DR: This paper develops the framework for an overlay network of gateway devices that provide authenticated access control and security monitoring for these vulnerable interfaces and suggests that such a system can be deployed with negligible impact on normal operations, while providing important security mechanisms.
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HSTS Measurement and an Enhanced Stripping Attack Against HTTPS
Xurong Li,Chunming Wu,Shouling Ji,Qinchen Gu,Raheem Beyah +4 more
- 22 Oct 2017
TL;DR: An enhanced HTTPS stripping attack is designed, which was upgraded from the original sslstrip attack, making it possible to deploy HTTPS and HSTS in a more secure way.
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A multi-factor re-authentication framework with user privacy
A. Selcuk Uluagac,Wenyi Liu,Raheem Beyah +2 more
- 29 Dec 2014
TL;DR: The initial design of a privacy-preserving multi-factor re-authentication framework that can successfully validate legitimate users while detecting impostors is introduced.
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An incrementally deployable energy efficient 802.15.4 MAC protocol (DEEP)
Marco Valero,Sang Shin Jung,Anu G. Bourgeois,Raheem Beyah +3 more
- 01 Sep 2012
TL;DR: The results show that DEEP reduces energy consumption up to nearly 50% when seven devices allocate guaranteed time slots descriptors during normal communication and can be incrementally deployed to extend the lifetime of the network: a partial deployment of DEEP leads to proportional improvements in the network energy savings.
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