PRIDE: A practical intrusion detection system for resource constrained wireless mesh networks

2016 ◽  
Vol 62 ◽  
pp. 114-132 ◽  
Author(s):  
Amin Hassanzadeh ◽  
Zhaoyan Xu ◽  
Radu Stoleru ◽  
Guofei Gu ◽  
Michalis Polychronakis
Keyword(s):  
Intrusion Detection ◽  
Wireless Mesh Networks ◽  
Intrusion Detection System ◽  
Mesh Networks ◽  
Detection System ◽  
Resource Constrained ◽  
Wireless Mesh

scholarly journals RAPID: Traffic-agnostic intrusion detection for resource-constrained wireless mesh networks

2014 ◽  
Vol 46 ◽  
pp. 1-17 ◽  
Author(s):  
Amin Hassanzadeh ◽  
Radu Stoleru ◽  
Michalis Polychronakis ◽  
Geoffrey Xie
Keyword(s):  
Intrusion Detection ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Resource Constrained ◽  
Wireless Mesh

scholarly journals An Intrusion Detection System for Smart Grid Neighborhood Area Network

2021 ◽  
Author(s):  
Nasim Beigi Mohammadi
Keyword(s):  
Intrusion Detection ◽  
Smart Grid ◽  
Intrusion Detection System ◽  
Detection System ◽  
Area Network ◽  
Wormhole Attack ◽  
Detection Systems ◽  
Wireless Mesh ◽  
First Time ◽  
Neighborhood Area Network

Smart grid is expected to improve the efficiency, reliability and economics of current energy systems. Using two-way flow of electricity and information, smart grid builds an automated, highly distributed energy delivery network. In this thesis, we present the requirements for intrusion detection systems in smart grid, neighborhood area network (NAN) in particular. We propose an intrusion detection system (IDS) that considers the constraints and requirements of the NAN. It captures the communication and computation overhead constraints as well as the lack of a central point to install the IDS. The IDS is distributed on some nodes which are powerful in terms of memory, computation and the degree of connectivity. Our IDS uses an analytical approach for detecting Wormhole attack. We simulate wireless mesh NANs in OPNET Modeler and for the first time, we integrate our analytical model in Maple from MapleSoft with our OPNET simulation model.

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