A Black Widow Optimization Algorithm (BWOA) for Node Capture Attack to Enhance the Wireless Sensor Network Protection

2021 ◽  
pp. 603-617
Author(s):  
Ankur Khare ◽  
Rajendra Gupta ◽  
Piyush Kumar Shukla ◽  
Rajdeep Chowdhury ◽  
Pushan Kumar Datta
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Optimization Algorithm ◽  
Wireless Sensor ◽  
Black Widow ◽  
Network Protection ◽  
Node Capture Attack ◽  
Node Capture

scholarly journals Optimized and Executive Survey of Physical Node Capture Attack in Wireless Sensor Network

2014 ◽  
Vol 6 (11) ◽  
pp. 26-34
Author(s):  
Bhavana Butani ◽  
◽  
Piyush Kumar Shukla ◽  
Sanjay Silakari ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Node Capture Attack ◽  
Node Capture ◽  
Physical Node

scholarly journals Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Piyush Kumar Shukla ◽  
Sachin Goyal ◽  
Rajesh Wadhvani ◽  
M. A. Rizvi ◽  
Poonam Sharma ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Multiple Objectives ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Cost ◽  
Node Capture Attack ◽  
Cryptographic Keys ◽  
Node Capture

Wireless sensor network consists of hundreds or thousands of low cost, low power, and self-organizing tiny sensor nodes that are deployed within the sensor network. Sensor network is susceptible to physical attacks due to deprived power and restricted resource capability and is exposed to external environment for transmitting and receiving data. Node capture attack is one of the most menacing attack in the wireless sensor network and may be physically captured by an adversary for extracting confidential information regarding cryptographic keys, node’s unique id, and so forth, from its memory to eliminate the confidentiality and integrity of the wireless links. Node capture attack suffers from severe security breach and tremendous network cost. We propose an empirically designed multiple objectives node capture attack algorithm based on optimization functions as an effective solution against the attacking efficiency of node capture attack. Finding robust assailant optimization-particle swarm optimization and genetic algorithm (FiRAO-PG) consists of multiple objectives: maximum node participation, maximum key participation, and minimum resource expenditure to find optimal nodes using PSO and GA. It will leverage a comprehensive tool to destroy maximum portion of the network realizing cost-effectiveness and higher attacking efficiency. The simulation results manifest that FiRAO-PG can provide higher fraction of compromised traffic than matrix algorithm (MA) so the attacking efficiency of FiRAO-PG is higher.

A high efficient node capture attack algorithm in wireless sensor network based on route minimum key set

2012 ◽  
Vol 6 (2) ◽  
pp. 230-238 ◽  
Author(s):  
Guowei Wu ◽  
Xiaojie Chen ◽  
Mohammad S. Obaidat ◽  
Chi Lin ◽  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Node Capture Attack ◽  
High Efficient ◽  
Node Capture
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