Improved Model for the Stability Analysis of Wireless Sensor Network Against Malware Attacks

Ensuring security in a communication network is one of the underlying challenges of wireless sensor network due to critical operational constraints. Wireless sensor network (WSN) is an easy target of malware (worm, virus, malicious code, etc.) attacks due to weak security mechanism. Malware propagat...

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Bibliographic Details
Published inWireless personal communications Vol. 116; no. 3; pp. 2525 - 2548
Main Authors Ojha, Rudra Pratap, Srivastava, Pramod Kumar, Sanyal, Goutam, Gupta, Nishu
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2021
Springer Nature B.V
Subjects
Communication
Communications Engineering
Computer Communication Networks
Computer viruses
Cybersecurity
Engineering
Malware
Mathematical models
Networks
Parameters
Propagation
Quarantine
Sensors
Signal,Image and Speech Processing
Stability analysis
Systems stability
Wireless communications
Wireless networks
Wireless sensor networks
Wireless sensor network
Basic reproduction number
Stability
Epidemic theory
Equilibrium point
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Summary:Ensuring security in a communication network is one of the underlying challenges of wireless sensor network due to critical operational constraints. Wireless sensor network (WSN) is an easy target of malware (worm, virus, malicious code, etc.) attacks due to weak security mechanism. Malware propagation outsets from a compromised sensor node and spreads in the whole WSN using wireless communication. Owing to epidemic nature of worm transmission in the network, it is essential to implement a defence mechanism against worm attacks. Motivated by malware quarantine, we propose an improved mathematical model which aggregates quarantine and vaccination techniques. We obtain the equilibrium points and other crucial parameters of the proposed model. We analyse the system stability under different conditions. Basic reproduction number determines whether malware is extinct in the system or not. It helps in the calculation of cutoff limit of the node density and communication radius. The impingement of various parameters in this model is analysed. The performance is observed to be significantly ameliorated than existing models and verified by extensive simulation results in terms of reducing the number of infectious nodes and decreasing the rate of malware propagation.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-020-07809-x