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Nirwan Ansari
Researcher at New Jersey Institute of Technology
Publications - 743
Citations - 25453
Nirwan Ansari is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Quality of service & Network packet. The author has an hindex of 71, co-authored 708 publications receiving 21488 citations. Previous affiliations of Nirwan Ansari include Hebei University of Engineering & Purdue University.
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Intrusion Detection and Ejection Framework Against Lethal Attacks in UAV-Aided Networks: A Bayesian Game-Theoretic Methodology
TL;DR: This paper proposes to address two main issues within the context of intrusion detection and attacker ejection in UAV-aided networks by a Bayesian game model in order to accurately detect attacks with a low overhead.
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Revealing Packed Malware
TL;DR: Reverse engineering (RE) has become an important approach to analyzing a program's logic flow and internal data structures, such as system call functions, which must be able to unpack and inspect the payloads hidden within the packed programs using RE tools.
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Toward Green IoT: Energy Solutions and Key Challenges
Xilong Liu,Nirwan Ansari +1 more
TL;DR: This work proposes to leverage "free" green energy to power IoT devices and revolutionarily enable wireless charging of these devices and lays out the basic design principles for these three steps, shed some light on the solutions and present the corresponding challenges individually.
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CONSUMER: A Novel Hybrid Intrusion Detection System for Distribution Networks in Smart Grid
Chun-Hao Lo,Nirwan Ansari +1 more
TL;DR: This paper proposes a CONSUMER attack model that is formulated into one type of coin change problems, which minimizes the number of compromised meters subject to the equality of an aggregated load to evade detection.
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Latency Aware Workload Offloading in the Cloudlet Network
Xiang Sun,Nirwan Ansari +1 more
TL;DR: This work proposes the latency-aware workload offloading (LEAD) strategy to allocate MUs’ application workloads into suitable cloudlets and demonstrates that LEAD incurs the lowest average response time as compared with two existing strategies.