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
A secure routing protocol with regional partitioned clustering and Beta trust management in smart home
TL;DR: A two-layer cluster-based network model for indoor structured SH and a novel Beta-based trust management (BTM) scheme are proposed to defend various types of internal attacks by integrating the variation of trust value, threshold, and evaluation.
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A network-based approach to counterfeit detection
Supreeth Sathyanarayana,William H. Robinson,Raheem Beyah +2 more
- 01 Nov 2013
TL;DR: This paper proposes a simple and cheap technique of counterfeit detection, which it is believed is a first-of-its-kind, network-based solution that is effective against devices with counterfeit components or even with legitimate, but re-marked (as higher capacity) components.
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DSF - A Distributed Security Framework for heterogeneous wireless sensor networks
Himali Saxena,Chunyu Ai,Marco Valero,Yingshu Li,Raheem Beyah +4 more
- 01 Oct 2010
TL;DR: This work addresses the challenges with the traditional approach to securing sensor networks and presents a collaborative framework (the Distributed Security Framework -DSF) that can defend against all known attacks.
The Monitoring Core: A framework for sensor security application development
Marco Valero,Selcuk Uluagac,S. Venkatachalam,K. C. Ramalingam,Raheem Beyah +4 more
- 08 Oct 2012
TL;DR: The M-Core is a modular, lightweight, and extensible software layer that gathers necessary data including the internal and the external status of the sensor, and provides relevant information for the development of new SAs.
Shepherding Loadable Kernel Modules through On-demand Emulation
Chaoting Xuan,John A. Copeland,Raheem Beyah +2 more
- 29 Jun 2009
TL;DR: DARK, a rootkit prevention system that tracks a suspicious loadable kernel module at a granite level by using on-demand emulation, a technique that dynamically switches a running system between virtualized and emulated execution, is presented.
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