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Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network
Joint Authors
Shukla, Piyush Kumar
Goyal, Sachin
Wadhvani, Rajesh
Rizvi, M. A.
Sharma, Poonam
Tantubay, Neeraj
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shukla, Piyush Kumar& Goyal, Sachin& Wadhvani, Rajesh& Rizvi, M. A.& Sharma, Poonam& Tantubay, Neeraj. 2015. Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074233
Modern Language Association (MLA)
Shukla, Piyush Kumar…[et al.]. Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1074233
American Medical Association (AMA)
Shukla, Piyush Kumar& Goyal, Sachin& Wadhvani, Rajesh& Rizvi, M. A.& Sharma, Poonam& Tantubay, Neeraj. Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074233
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074233