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 mobility enhancement for switched wireless Ethernet with soft handoff
Raheem Beyah,C.S. Turner,Cherita Corbett,John A. Copeland +3 more
- 04 Aug 2002
TL;DR: In this paper, the authors propose a soft handoff procedure to ensure optimal performance, minimal service disruption, as well as minimal broadcast frames, in WLANs using Ethernet switching as a backbone.
1
Using Active Scanning to Identify Wireless NICs
Cherita Corbett,Raheem Beyah,John A. Copeland +2 more
- 01 Jan 2006
TL;DR: In this article, the authors proposed the use of spectral analysis to identify the type of wireless network interface card (NIC), which can be applied to support the detection of unauthorized systems that use NICs which are different from that of a legitimate system.
1
Guest editorial: Special issue on wireless computing and networking
TL;DR: This special issue is devoted to the new research addressing challenges in the areas of wireless computing and networking and includes ten research articles from five countries including the United States, China, South Korea, Norway, India, and India which covers various research issues.
1
Patent
Method for verifying the integrity of an additive manufacturing process
Saman Zonouz,Mehdi Javanmard,Raheem Beyah,Garcia Luis A,Le Tuan-Anh,Christian Bayens +5 more
- 11 Jul 2019
TL;DR: In this article, the authors provide methods for verifying the integrity of an additive manufacturing process during or after a 3D print job using at least one of three validation layers: an acoustic layer, a spatial sensing layer, and a material verification layer.
1
UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware
Binbin Zhao,Shouling Ji,Xuhong Zhang,Yuan Tian,Qinying Wang,Yuwen Pu,Chenyang Lyu,Raheem Beyah +7 more
TL;DR: Wang et al. as discussed by the authors proposed a rule-driven NLP-guided binary analysis engine, which maps the logical information from the high-level TPC document to the low-level binary, and detects TPC usage violations in IoT firmware across different architectures.