Design of A Secure Scheme employing In-Packet Bloom Filter for Detecting Provenance Forgery and Packet Drop Attacks in WSN

Authors

  • Rohit D. Hedau  Student , Department of Electronics and Comm. Engg., G. H. R.A.E.T., Nagpur, India
  • Dr. Pankaj Agrawal  H.O.D., Department of Electronics and Comm. Engg., G. H. R.A.E.T., Nagpur, India

Keywords:

Abstract

Lots of application are inherently wireless sensor network based wherein they sense the desired parameter and forward the data to the base station to be aggregated abd put forward to suitable use as and when desired. In such a case it is always a possibility that a malicious adversary may introduce additional nodes in the network or compromise existing ones. It is therefore highly crucial that high data trustworthiness is high so that correct decisions can be taken. Data provenance becomes critical in evaluating the trustworthiness of sensor data. Low energy and bandwidth consumption, efficient storage and secure transmission are several challenges required to be catered by provenance management .In this work we have been able to present a scheme to securely transmit provenance for sensor data. The scheme employs in packet bloom filter for providing provenance encoding . The provenance mechanism and reconstruction is taken care by the base station . The provenance scheme has been able to detect packet drop attacks staged by malicious data forwarding nodes.

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-06-30

Issue

Volume 4, Issue 8, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rohit D. Hedau, Dr. Pankaj Agrawal, " Design of A Secure Scheme employing In-Packet Bloom Filter for Detecting Provenance Forgery and Packet Drop Attacks in WSN, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 8, pp.240-248, May-June-2018.