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Performance Analysis for IDBAS and LWSEA Cryptography Technique in Generic Bio-Inspired Cybersecurity in SIWC model for WSN

Author

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  • A. V. Vivekia
  • N. Kumaratharan

Abstract

The expeditious advances of Information Technology (IT) and Communication Technology have led in various Cyber-Physical Systems (CPSs) such as smart traffic flow management, healthcare platforms, Internet of Things and computer networks. In current days the Wireless Sensor Networks (WSNs) play a pivotal role in CPSs, particularly for operations such as surveillance and monitoring. However, these WSNs are vulnerable to various types of security attacks known as cyber-attacks. To strengthen cybersecurity in WSN-enabled CPSs, a generic bio-inspired model called Swarm Intelligence is proposed. Swarm Intelligence for WSN Cybersecurity (SIWC) is a system trained by swarm intelligence optimization to automatically determine the optimal critical parameters that are used to detect cyberattacks using SIDS and prevent them by using cryptography LWSEA techniques.

Suggested Citation

  • A. V. Vivekia & N. Kumaratharan, 2017. "Performance Analysis for IDBAS and LWSEA Cryptography Technique in Generic Bio-Inspired Cybersecurity in SIWC model for WSN," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 87-95, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit1722401
    Note: Article URL: https://ijsrcseit.com/CSEIT1722401
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