Analyze The Effects of Quarantine and Vaccination on Malware Propagation in Wireless Sensor Network
Satya Ranjan Biswal1, Santosh Kumar Swain2
1Satya Ranjan Biswal, Associate Professor in Department of Computer Science & Engineering, Trident Academy of Technology, Bhubaneswar, Odisha.
2Santosh Kumar Swain, Professor in Department of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha
Manuscript received on 01 August 2019 | Revised Manuscript received on 09 August 2019 | Manuscript published on 30 August 2019 | PP: 3537-3543 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97610881019/19©BEIESP | DOI: 10.35940/ijitee.J9761.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Malware (worm, virus, malicious signals, etc.) propagation in Wireless Sensor Network (WSN) is one of the important concern. The WSN becomes unstable due to presence of malicious signals. Vulnerability of WSN is very high because of the structural constraint of sensor nodes. The attackers target a sensor node of WSN for malware attack. A single infected node starts to spread the malware in the entire network through neighbouring nodes. Therefore, for controlling of malware propagation in WSN a mathematical model is developed. The developed model is based on epidemic theory. The developed model consist of five states such as Susceptible-Infectious-Quarantine-Vaccination-Dead (SIQVD). The quarantine is a method through which to cease the infection spread in WSN. And through vaccination eliminate the malware from the network. The combination of quarantine and vaccination technique improves the network stability. This technique prevents malware propagation in WSN. The basic reproduction number (Rο) of the model is deduced. The stability of the network depends on the value of basic reproduction number. It is found that if the value of Rο is less than one the network system exist in malware-fee state, otherwise in endemic state. The equilibrium points of the system is obtained. The effects of quarantine and vaccination has been analyzed on system performance. The theoretical findings are verified by simulation results. Attack Epidemic model Equilibrium point Malware propagation Security Wireless Sensor Network
Keywords: Wireless Sensor Network Malware Propagation
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks