Detecting SF attacks in WSNs using CRS-A
In this system, we have proposed a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. To accurately distinguish selective forwarding attacks from the normal packet loss, CRSA evaluates the forwarding behaviors by the deviation between the estimated normal packet loss and monitored packet loss. To improve the detection accuracy of CRS-A, we have further derived the optimal evaluation threshold of CRS-A in a probabilistic way, which is adaptive to the time-varied channel condition and the attack probabilities of compromised nodes. In addition, a distributed and attack-tolerant data forwarding scheme is developed to collaborate with CRS-A for stimulating the cooperation of compromised nodes and improving the data delivery ratio. Our simulation results show that the proposed CRS-A can achieve a high detection accuracy with low false and missed detection probabilities, and the proposed attacktolerant data forwarding scheme can improve more than 10% data delivery ratio for the network. In our future work, we will extend our investigation into WSNs with mobile sensor nodes, where the detection of selective forwarding attacks becomes more challenging, since the normal packet loss rate is more fluctuant and difficult to estimate due to the mobility of sensor nodes.
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Detecting SF attacks in WSNs using CRS-A
In this system, we have proposed a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. To accurately distinguish selective forwarding attacks from the normal packet loss, CRSA evaluates the forwarding behaviors by the deviation between the estimated normal packet loss and monitored packet loss. To improve the detection accuracy of CRS-A, we have further derived the optimal evaluation threshold of CRS-A in a probabilistic way, which is adaptive to the time-varied channel condition and the attack probabilities of compromised nodes. In addition, a distributed and attack-tolerant data forwarding scheme is developed to collaborate with CRS-A for stimulating the cooperation of compromised nodes and improving the data delivery ratio. Our simulation results show that the proposed CRS-A can achieve a high detection accuracy with low false and missed detection probabilities, and the proposed attacktolerant data forwarding scheme can improve more than 10% data delivery ratio for the network. In our future work, we will extend our investigation into WSNs with mobile sensor nodes, where the detection of selective forwarding attacks becomes more challenging, since the normal packet loss rate is more fluctuant and difficult to estimate due to the mobility of sensor nodes.
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Detecting SF attacks in WSNs using CRS-A

Detecting SF attacks in WSNs using CRS-A

by Christo Ananth
Detecting SF attacks in WSNs using CRS-A

Detecting SF attacks in WSNs using CRS-A

by Christo Ananth

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Overview

In this system, we have proposed a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. To accurately distinguish selective forwarding attacks from the normal packet loss, CRSA evaluates the forwarding behaviors by the deviation between the estimated normal packet loss and monitored packet loss. To improve the detection accuracy of CRS-A, we have further derived the optimal evaluation threshold of CRS-A in a probabilistic way, which is adaptive to the time-varied channel condition and the attack probabilities of compromised nodes. In addition, a distributed and attack-tolerant data forwarding scheme is developed to collaborate with CRS-A for stimulating the cooperation of compromised nodes and improving the data delivery ratio. Our simulation results show that the proposed CRS-A can achieve a high detection accuracy with low false and missed detection probabilities, and the proposed attacktolerant data forwarding scheme can improve more than 10% data delivery ratio for the network. In our future work, we will extend our investigation into WSNs with mobile sensor nodes, where the detection of selective forwarding attacks becomes more challenging, since the normal packet loss rate is more fluctuant and difficult to estimate due to the mobility of sensor nodes.

Product Details

BN ID: 2940158826054
Publisher: Nook Press Barnes & Noble
Publication date: 10/14/2017
Sold by: Barnes & Noble
Format: eBook
File size: 410 KB

About the Author

Christo Ananth got his B.E. Degree in Electronics and Communication Engineering in 2009 and his M.E. Degree in Applied Electronics in 2013. He received his PhD Degree in Engineering in 2017. Christo Ananth has almost 8 years of involvement in research, instructing, counseling and down to earth application improvement. His exploration skill covers Image Processing, Co-operative Networks, Electromagnetic Fields, Electronic Devices, Wireless Networks and Medical Electronics. He has taken an interest and presented 3 papers in National level Technical Symposiums, 9 Research papers in National Level Conferences, 31 Research Papers in International level Conferences, 54 Research Papers in refereed and indexed International Journals in the field of Embedded Systems, Networking, Digital Image Processing, Network Security and VLSI. He has attended 14 Technical Seminars/Training Courses/Faculty Development Programs. He has contributed 7 Dissertations / Thesis / Technical Reports in International Publication Houses, 15 International Book Chapters in USA and has authored & published 4 National-level Engineering Text books and authored 2 International-level Engineering text books. He has published 10 Monographs in Reputed International Journals. He is a beneficiary of Special note in 4 Engineering Text books associated to Anna University,Chennai. He has been conferred with the title - Editor-in-Chief and Associate Editor of 5 International Journals by ACE Publications and Fisheries and Aquatic Studies Organization for his extraordinary Academic Excellence in Research Community.
At present, he is a member of 133 Professional Bodies over the globe. He is a Biographical World Record Holder of Marquis' Who’s Who in the World (32nd,33rd and 34th Edition) for his exceptional commitment towards explore group from 2015-2017. He has conveyed Guest Lectures in Reputed Engineering Colleges and Reputed Industries on different themes. He has earned 4 Best Paper Awards from different instruction related social exercises in and outside India. He has organized nearly 19 self-supporting National level Technical Symposiums, Conferences and Workshops in the field of Embedded Systems, Networking, Digital Image Processing, Network Security, VLSI, Biotechnology, Management and Architecture. He is a Technical Advisory Board member of nearly 84 National Level/International Level Technical Conferences over the globe.
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