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Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission

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Abstract

Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks.

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Authors and Affiliations

  1. Bannari Amman Institute of Technology, Erode, Tamil Nadu, India

    N. M. Saravana Kumar

  2. Karpagam University, Coimbatore, Tamil Nadu, India

    S. Deepa

  3. Nandha Engineering College, Erode, Tamil Nadu, India

    C. N. Marimuthu

  4. Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    T. Eswari & S. Lavanya

Authors
  1. N. M. Saravana Kumar
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  2. S. Deepa
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  3. C. N. Marimuthu
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  4. T. Eswari
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  5. S. Lavanya
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Correspondence to N. M. Saravana Kumar.

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Saravana Kumar, N.M., Deepa, S., Marimuthu, C.N. et al. Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission. Wireless Pers Commun 87, 431–442 (2016). https://doi.org/10.1007/s11277-015-3070-2

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  • DOI: https://doi.org/10.1007/s11277-015-3070-2

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