Traffic Decorrelation Techniques for Countering a Global Eavesdropper in WSNs

Abstract

Traffic Decorrelation Techniques for Countering Wireless sensor networks (WSNs) have demonstrated great potential in revolutionizing many applications including military surveillance, patient monitoring, agricultural and industrial surveillance, smart buildings, cities and smart infrastructure.Traffic Decorrelation Techniques for Countering a Global Eavesdropper in WSNs.

Projects reports on Traffic Decorrelation Many of these applications involve disclosure of sensitive information that must be protected against unauthorized parties. Consider, for example, a WSN military surveillance deployed to detect physical intrusions in a restricted area. Such a WSN operates as an event-driven network, whereby detection of a physical event (e.g., enemy intrusion) triggers the transfer of a report to a sink.

Conclusion

Projects reports on Traffic Decorrelation Traffic decorrelation techniques for countering a global eavesdropper in WSNs, under a global eavesdropper we addressed the issue of contextual information privacy in WSNs.

We presented a general method of traffic analysis in a fusion center to collectively process packet interception times and eavesdropper locations.The method is agnostic to the mechanism of protection and can be used as a basis for evaluating various schemes.

Projects on Traffic Decorrelation To mitigate global eavesdropping, we proposed methods of traffic normalization that regulate the traffic patterns of a sub-set of MCDS-forming sensors. We developed two algorithms to partition the WSN into MCDSs and SS-MCDSs and assessed their performance through simulations.

Projects on Traffic Decorrelation Compared to previous methods capable of protecting against a global eavesdropper, we showed that limiting dummy traffic transmissions to MCDS nodes reduces overhead communication due to traffic normalization. 

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