Privacy preserving secure expansive aggregation with malicious node identification in linear wireless sensor networks

Abstract

The Wireless Sensor Networks (WSNs) used for the monitoring applications like pipelines carrying oil, water, and gas; perimeter surveillance; border monitoring; and subway tunnel monitoring form linearWSNs. Here, the infrastructure being monitored inherently forms linearity (straight line through the placement of sensor nodes). Therefore, suchWSNs are called linear WSNs. These applications are security critical because the data being communicated can be used for malicious purposes. The contemporary research of WSNs data security cannot fit in directly to linear WSN as only by capturing few nodes, the adversary can disrupt the entire service of linear WSN. Therefore, we propose a data aggregation scheme that takes care of privacy, confidentiality, and integrity of data. In addition, the scheme is resilient against node capture attack and collusion attacks. There are several schemes detecting the malicious nodes. However, the proposed scheme also provides an identification of malicious nodes with lesser key storage requirements. Moreover, we provide an analysis of communication cost regarding the number of messages being communicated. To the best of our knowledge, the proposed data aggregation scheme is the first lightweight scheme that achieves privacy and verification of data, resistance against node capture and collusion attacks, and malicious node identification in linear WSNs.

Keywords

linear wireless sensor networks / secure data aggregation / privacy / malicious node identification

References

[1] Romer K, Mattern F. The design space of wireless sensor networks. IEEE Wireless Communications, 2004, 11(6): 54–61

[2] Shah K, Jinwala D C. A secure expansive aggregation in wireless sensor networks for linear infrasturcture. In: Proceedings of IEEE Region 10 Symposium. 2016, 207–212

[3] Martin K M, Paterson M B. Ultra-lightweight key predistribution in wireless sensor networks for monitoring linear infrastructure. In: Proceedings of IFIP International Workshop on Information Security Theory and Practices. 2009, 143–152

[4] Camtepe S A, Yener B. Key distribution mechanisms for wireless sensor networks: a survey. Rensselaer Polytechnic Institute, Troy, New York, Technical Report. 2005

[5] Xiao Y, Rayi V K, Sun B, Du X, Hu F, Galloway M. A survey of key management schemes in wireless sensor networks. Computer Communications, 2007, 30(11): 2314–2341

[6] Eschenauer L, Gligor V D. A key-management scheme for distributed sensor networks. In: Proceedings of the 9th ACM Conference on Computer and Communications Security. 2002, 41–47

[7] Martin K M, Paterson M. An application-oriented framework for wireless sensor network key establishment. Electronic Notes in Theoretical Computer Science, 2008, 192(2): 31–41

[8] Shah K A, Jinwala D C. Novel approach for pre-distributing keys in WSNs for linear infrastructure. Wireless Personal Communications, 2017, 95(4): 3905–3921

[9] Jawhar I, Mohamed N. A hierarchical and topological classification of linear sensor networks. In: Proceedings of IEEE Wireless Telecommunications Symposium. 2009, 1–8

[10] Henry K J, Stinson D R. Resilient aggregation in simple linear sensor networks. IACR Cryptology ePrint Archive. 2014, 288

[11] Girao J, Westhoff D, Schneider M. CDA: concealed data aggregation for reverse multicast traffic in wireless sensor networks. In: Proceedings of IEEE International Conference on Communications. 2005, 3044–3049

[12] Westhoff D, Girao J, Acharya M. Concealed data aggregation for reverse multicast traffic in sensor networks: encryption, key distribution, and routing adaptation. IEEE Transactions on Mobile Computing, 2006, 5(10): 1417–1431

[13] Frikken K B, Dougherty IV J A. An efficient integrity-preserving scheme for hierarchical sensor aggregation. In: Proceedings of the 1st ACM Conference on Wireless Network Security. 2008, 68–76

[14] Hu L, Evans D. Secure aggregation for wireless networks. In: Proceedings of IEEE Applications and the Internet Workshops. 2003, 384–391

[15] Przydatek B, Song D, Perrig A. SIA: secure information aggregation in sensor networks. In: Proceedings of the 1st ACM International Conference on Embedded Networked Sensor Systems. 2003, 255–265

[16] Roy S, Setia S, Jajodia S. Attack-resilient hierarchical data aggregation in sensor networks. In: Proceedings of the 4th ACM Workshop on Security of Ad Hoc and Sensor Networks. 2006, 71–82

[17] Shah K A, Jinwala D C. Novel approach of key predistribution for grid based sensor networks. Wireless Personal Communications, 2019, 108(2): 1–17

[18] Shah K A, Jinwala D C. Privacy preserving, verifiable and resilient data aggregation in grid-based networks. The Computer Journal, 2018, 61(4): 614–628

[19] Shah K, Jinwala D C. Performance analysis of symmetric key ciphers in linear and grid based sensor networks. Computer Science & Information Technology, 2018, 8(4): 53–68

[20] Buttyán L, Schaffer P, Vajda I. Cora: correlation-based resilient aggregation in sensor networks. Ad Hoc Networks, 2009, 7(6): 1035–1050

[21] Chan A C, Castelluccia C. A security framework for privacy-preserving data aggregation in wireless sensor networks. ACM Transactions on Sensor Networks, 2011, 7(4): 29

[22] Li Z, Gong G. Data aggregation integrity based on homomorphic primitives in sensor networks. In: Proceedings of Springer International Conference on Ad-Hoc and Wireless Networks. 2010, 149–162

[23] Peter S, Westhoff D, Castelluccia C. A survey on the encryption of convergecast traffic with in-network processing. IEEE Transactions on Dependable and Secure Computing, 2010, 7(1): 20–34

[24] Reddy Y B. A game theory approach to detect malicious nodes in wireless sensor networks. In: Proceedings of the 3rd IEEE International Conference on Sensor Technologies and Applications. 2009, 462–468

[25] Acharya R, Asha K. Data integrity and intrusion detection in wireless sensor networks. In: Proceedings of the 16th IEEE International Conference on Networks. 2008, 1–5

[26] Sang Y, Shen H, Inoguchi Y, Tan Y, Xiong N. Secure data aggregation in wireless sensor networks: a survey. In: Proceedings of the 7th IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies. 2006, 315–320

[27] Shamir A. How to share a secret. Communications of the ACM, 1979, 22(11): 612–619

[28] Chan H, Perrig A, Song D. Secure hierarchical in-network aggregation in sensor networks. In: Proceedings of the 13th ACM Conference on Computer and Communications Security. 2006, 278–287

[29] Kargl F, Klenk A, Schlott S, Weber M. Advanced detection of selfish or malicious nodes in ad hoc networks. In: Proceedings of Springer European Workshop on Security in Ad-hoc and Sensor Networks. 2004, 152–165

[30] Nasser N, Chen Y. Enhanced intrusion detection system for discovering malicious nodes in mobile ad hoc networks. In: Proceedings of IEEE International Conference on Communications. 2007, 1154–1159

[31] Li H, Li K, Qu W, Stojmenovic I. Secure and energy-efficient data aggregation with malicious aggregator identification in wireless sensor networks. Future Generation Computer Systems, 2014, 37: 108–116

[32] Perrig A, Stankovic J, Wagner D. Security in wireless sensor networks. Communications of the ACM, 2004, 47(6): 53–57

[33] Raymond D R, Midkiff S F. Denial-of-service in wireless sensor networks: attacks and defenses. IEEE Pervasive Computing, 2008, 7(1): 74–81

[34] Intanagonwiwat C, Estrin D, Govindan R, Heidemann J. Impact of network density on data aggregation in wireless sensor networks. In: Proceedings of the 22nd IEEE International Conference on Distributed Com puting Systems. 2002, 457–458

[35] Kalpakis K, Dasgupta K, Namjoshi P. Maximum lifetime data gathering and aggregation in wireless sensor networks. In: Proceedings of IEEE International Conference on Networking. 2002, 685–696

[36] Krishnamachari L, Estrin D, Wicker S. The impact of data aggregation in wireless sensor networks. In: Proceedings of the 22nd IEEE International Conference on Distributed Computing Systems Workshops. 2002, 575–578

[37] Ozdemir S, Xiao Y. Secure data aggregation in wireless sensor networks: a comprehensive overview. Computer Networks, 2009, 53(12): 2022–2037

[38] Roy S, Conti M, Setia S, Jajodia S. Secure data aggregation in wireless sensor networks. IEEE Transactions on Information Forensics and Security, 2012, 7(3): 1040–1052

[39] Qiu J, Tian Z, Du C, Zuo Q, Su S, Fang B. A survey on access control in the age of internet of things. IEEE Internet of Things Journal, 2020, 7(6): 4682–4696

[40] Shah K, Patel D. Exploring the access control policies of web-based social network. In: Kumar A, Paprzycki M, Gunjan V, eds. Springer ICDSMLA. Springer, Singapore, 2020, 1614–1622

[41] Li M, Sun Y, Lu H, Maharjan S, Tian Z. Deep reinforcement learning for partially observable data poisoning attack in crowdsensing systems. IEEE Internet of Things Journal, 2019, 7(7): 6266–6278

[42] Tian Z, Luo C, Qiu J, Du X, Guizani M. A distributed deep learning system for web attack detection on edge devices. IEEE Transactions on Industrial Informatics, 2019, 16(3): 1963–1971

[43] Tian Z, Gao X, Su S, Qiu J. Vcash: a novel reputation framework for identifying denial of traffic service in internet of connected vehicles. IEEE Internet of Things Journal, 2019, 7(5): 3901–3909

[44] Qiu J, Du L, Zhang D, Su S, Tian Z. Nei-TTE: intelligent traffic time estimation based on fine-grained time derivation of road segments for smart city. IEEE Transactions on Industrial Informatics, 2019, 16(4): 2659–2666

[45] Tian Z, Shi W, Wang Y, Zhu C, Du X, Su S, Sun Y, Guizani N. Realtime lateral movement detection based on evidence reasoning network for edge computing environment. IEEE Transactions on Industrial Informatics, 2019, 15(7): 4285–4294

[46] Tian Z, Gao X, Su S, Qiu J, Du X, Guizani M. Evaluating reputation management schemes of internet of vehicles based on evolutionary game theory. IEEE Transactions on Vehicular Technology, 2019, 68(6): 5971–5980

[47] Parno B, Perrig A, Gligor V. Distributed detection of node replication attacks in sensor networks. In: Proceedings of IEEE Symposium on Security and Privacy. 2005, 49–63

[48] Yang Y,Wang X, Zhu S, Cao G. Sdap: a secure hop-by-hop data aggregation protocol for sensor networks. ACM Transactions on Information and System Security, 2008, 11(4): 18

[49] De Meulenaer G, Gosset F, Standaert F X, Pereira O. On the energy cost of communication and cryptography in wireless sensor networks. In: Proceedings of IEEE International Conference onWireless and Mobile Computing. 2008, 580–585

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