Computer Science and Information Systems 2022 Volume 19, Issue 2, Pages: 857-886
https://doi.org/10.2298/CSIS211009007R
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Recent advancements in privacy-aware protocols of source location privacy in wireless sensor networks: A survey
Roy Pradeep Kumar (Department of Computer Science and Engineering Indian Institute of Information Technology, Surat, India), pradeep.roy@iiitsurat.ac.in
Tripathy Asis Kumar (School of Information Technology and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India), asistripathy@gmail.com
Singh Sunil Kumar (School of Computer Science and Engineering VIT-AP University, Near Vijaywada, Andhra Pradesh, India), sksingh.cse@gmail.com
Li Kuan-Ching (Department of Computer Science and Information Engineering (CSIE), Providence University, Taiwan), kuancli@gm.pu.edu.tw
This review article summarises the protocols proposed in recent researches to secure location information in Wireless Sensor Networks (WSNs). Due to their lightweightness and easy to deploy properties, WSNs are widely used in numerous object tracking and monitoring applications. Due to such, source location privacy attracts the researchers and hence continuously enhances its improvement. Though, this privacy breach is not acceptable for WSNs, as it may reveal some critical information that is harmful. The SLP issue on WSN attracted researchers a lot, and hence a number of solutions are provided for it. However, an up-to-date survey does not exist for the same. To fill this gap, in this article, we summarize different approaches proposed in the last years to preserve location privacy. We first discuss the different privacy characteristics in WSNs, a detailed overview of the proposed protocols and their limitations, and discussions of solutions for the adversaries’ capabilities in WSNs. Then the future research directions in this area are discussed. This review work may support researchers identifying the new research area in location privacy of wireless sensor networks.
Keywords: Wireless sensor networks, Source location privacy, Fake source, Phantom routing, Security
Show references
T. Qiu, R. Qiao, and D. O. Wu, “Eabs: An event-aware backpressure scheduling scheme for emergency internet of things,” IEEE Transactions on Mobile Computing, vol. 17, no. 1, pp. 72-84, 2017.
P. Rawat, K. D. Singh, H. Chaouchi, and J. M. Bonnin, “Wireless sensor networks: a survey on recent developments and potential synergies,” The Journal of supercomputing, vol. 68, no. 1, pp. 1-48, 2014.
B. Chakraborty, S. Verma, and K. P. Singh, “Differentially private location privacy preservation in wireless sensor networks,” Wireless Personal Communications, vol. 104, no. 1, pp. 387-406, 2019.
M. M. Mahmoud and X. Shen, “A cloud-based scheme for protecting source-location privacy against hotspot-locating attack in wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 10, pp. 1805-1818, 2012.
P. K. Roy, J. P. Singh, P. Kumar, and M. Singh, “3rd international conference on recent trends in computing 2015 (icrtc-2015) source location privacy using fake source and phantom routing (fsapr) technique in wireless sensor networks,” Procedia Computer Science, vol. 57, pp. 936 - 941, 2015.
U. Kamat, Y. Zhang, and C. Ozturk, “Enhancing source-location privacy in sensor network routing,” in 25th IEEE International Conference on Distributed Computing Systems (ICDCS, 2005, pp. 599-608.
M. Conti, J. Willemsen, and B. Crispo, “Providing source location privacy in wireless sensor networks: A survey,” IEEE Communications Surveys Tutorials, vol. 15, no. 3, pp. 1238-1280, Third 2013.
N. Li, N. Zhang, S. K. Das, and B. Thuraisingham, “Privacy preservation in wireless sensor networks: A state-of-the-art survey,” Ad Hoc Networks, vol. 7, no. 8, pp. 1501-1514, 2009.
J. Lopez and J. Zhou, “Wireless sensor network security, vol. 1 of cryptology and information security series,” pp. 223-250, 2008.
S. Lee, J. Kim, and Y. Kim, “Preserving source-and sink-location privacy in sensor networks.” Comput. Sci. Inf. Syst., vol. 13, no. 1, pp. 115-130, 2016.
R. Rios, J. Lopez, and J. Cuellar, “Location privacy in wsns: solutions, challenges, and future trends,” in Foundations of Security Analysis and Design VII. Springer, 2013, pp. 244-282.
J. Jiang, G. Han, H. Wang, and M. Guizani, “Privacy models in wireless sensor networks: A survey,” Journal of Sensors, vol. 2016, pp. 1 - 18, 2016.
S. Gupta and B. Prince, “Preserving privacy of source location using random walk: A survey,” in 2016 IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT), 2016, pp. 2047-2051.
J. Jiang, G. Han, H.Wang, and M. Guizani, “A survey on location privacy protection in wireless sensor networks,” Journal of Network and Computer Applications, vol. 125, pp. 93-114, 2019.
M. Kamarei, A. Patooghy, A. Alsharif, and V. Hakami, “Simple: A unified single and multipath routing algorithm for wireless sensor networks with source location privacy,” IEEE Access, vol. 8, pp. 33 818-33 829, 2020.
V. Gomathy, N. Padhy, D. Samanta, M. Sivaram, V. Jain, and I. S. Amiri, “Malicious node detection using heterogeneous cluster based secure routing protocol (hcbs) in wireless adhoc sensor networks,” Journal of Ambient Intelligence and Humanized Computing, pp. 1-7, 2020.
C. Ozturk and Y. Zhang, “Source-location privacy in energy-constrained sensor network routing,” in In ACM SASN, 2004, pp. 88-93.
A. Jhumka, M. Leeke, and S. Shrestha, “On the use of fake sources for source location privacy: Trade-offs between energy and privacy,” The Computer Journal, vol. 54, no. 6, pp. 860-874, 2011.
P. Kumar, J. P. Singh, P. Vishnoi, and M. P. Singh, “Source location privacy using multiplephantom nodes in wsn,” in TENCON 2015 - 2015 IEEE Region 10 Conference, Nov 2015, pp. 1-6.
Q. Wang, J. Zhan, X. Ouyang, and Y. Ren, “Sps and dps: Two new grid-based source location privacy protection schemes in wireless sensor networks,” Sensors, vol. 19, no. 9, p. 2074, 2019.
U. Adilbekov, A. Adilova, and S. Saginbekov, “Providing location privacy using fake sources in wireless sensor networks,” in 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2018, pp. 1-4.
L. C. Mutalemwa and S. Shin, “Secure routing protocols for source node privacy protection in multi-hop communication wireless networks,” Energies, vol. 13, no. 2, pp. 1-30, 2020.
Y. Ouyang, Z. Le, G. Chen, J. Ford, and F. Makedon, “Entrapping adversaries for source protection in sensor networks,” in Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks. IEEE Computer Society, 2006, pp. 23-34.
M. Shao, Y. Yang, S. Zhu, and G. Cao, “Towards statistically strong source anonymity for sensor networks,” in INFOCOM 2008. The 27th Conference on Computer Communications. IEEE. IEEE, 2008, pp. 466-474.
W.-P. Wang, L. Chen, and J.-X. Wang, “A source-location privacy protocol in wsn based on locational angle,” in 2008 IEEE International Conference on Communications. IEEE, 2008, pp. 1630-1634.
R. Doomun, T. Hayajneh, P. Krishnamurthy, and D. Tipper, “Secloud: Source and destination seclusion using clouds for wireless ad hoc networks,” in Computers and Communications, 2009. ISCC 2009. IEEE Symposium. IEEE, 2009, pp. 361-367.
N.Wang, J. Fu, J. Li, and B. Bhargava, “Source-location privacy protection based on anonymity cloud in wireless sensor networks,” IEEE Transactions on Information Forensics and Security, vol. 15, no. 1, pp. 100-114, 2020.
H. Wang, B. Sheng, and Q. Li, “Privacy-aware routing in sensor networks,” Computer Networks, vol. 53, no. 9, pp. 1512-1529, 2009.
M. Shao, S. Zhu,W. Zhang, G. Cao, and Y. Yang, “pdcs: Security and privacy support for datacentric sensor networks,” IEEE Transactions on Mobile Computing, vol. 8, no. 8, pp. 1023- 1038, 2009.
P. Winter and M. Zachariasen, “Euclidean steiner minimum trees: An improved exact algorithm,” Networks, vol. 30, no. 3, pp. 149-166, 1997.
B. H. Bloom, “Space/time trade-offs in hash coding with allowable errors,” Communications of the ACM, vol. 13, no. 7, pp. 422-426, 1970.
B. Alomair, A. Clark, J. Cuellar, and R. Poovendran, “Statistical framework for source anonymity in sensor networks,” in Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE. IEEE, 2010, pp. 1-6.
S. Kokalj-Filipović, F. Le Fessant, and P. SpasojeviĆ, “The quality of source location protection in globally attacked sensor networks,” in Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on. IEEE, 2011, pp. 44-49.
R. Rios and J. Lopez, “Exploiting context-awareness to enhance source-location privacy in wireless sensor networks,” The Computer Journal, pp. 1-11, 2011.
P. Kamat, Y. Zhang, W. Trappe, and C. Ozturk, “Enhancing source-location privacy in sensor network routing,” in Distributed Computing Systems, 2005. ICDCS 2005. Proceedings. 25th IEEE International Conference on. IEEE, 2005, pp. 599-608.
S. Gupta, P. Kumar, J. P. Singh, and M. P. Singh, “Privacy preservation of source location using phantom nodes,” in Information Technology: New Generations, S. Latifi, Ed. Cham: Springer International Publishing, 2016, pp. 247-256.
J. Chen, Z. Lin, Y. Liu, Y. Hu, and X. Du, “Sink location protection protocols based on packet sending rate adjustment,” International Journal of Distributed Sensor Networks, vol. 12, no. 1, pp. 1-10, 2016.
K. Mehta, D. Liu, and M. Wright, “Protecting location privacy in sensor networks against a global eavesdropper,” IEEE Transactions on Mobile Computing, vol. 11, no. 2, pp. 320-336, 2012.
L. Zhou and Y. Shan, “Multi-branch source location privacy protection scheme based on random walk in wsns,” in 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2019, pp. 543-547.
G. Han, H. Wang, X. Miao, L. Liu, J. Jiang, and Y. Peng, “A dynamic multipath scheme for protecting source-location privacy using multiple sinks in wsns intended for iiot,” IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5527-5538, 2019.
W. Tan, K. Xu, and D. Wang, “An anti-tracking source-location privacy protection protocol in wsns based on path extension,” IEEE Internet of Things Journal, vol. 1, no. 5, pp. 461-471, 2014.
P. Spachos, D. Toumpakaris, and D. Hatzinakos, “Angle-based dynamic routing scheme for source location privacy in wireless sensor networks,” in 2014 IEEE 79th Vehicular Technology Conference (VTC Spring). IEEE, 2014, pp. 1-5.
X. Miao, G. Han, Y. He, H. Wang, and J. Jiang, “A protecting source-location privacy scheme for wireless sensor networks,” in 2018 IEEE International Conference on Networking, Architecture and Storage (NAS). IEEE, 2018, pp. 1-5.
L. Zhou, Y. Shan, and X. Chen, “An anonymous routing scheme for preserving location privacy in wireless sensor networks,” in 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019, pp. 262-265.
I. T. Almalkawi, J. Raed, N. Alghaeb, and M. G. Zapata, “An efficient location privacy scheme for wireless multimedia sensor networks,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2019, pp. 1615-1618.
G. Han, X. Miao, H. Wang, M. Guizani, and W. Zhang, “Cpslp: A cloud-based scheme for protecting source location privacy in wireless sensor networks using multi-sinks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2739-2750, 2019.
L. Bai, H. Zhu, and G. Li, “Privacy protection algorithm based on random annular region in wsn,” in 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2018, pp. 64-67.
L. C. Mutalemwa and S. Shin, “Strategic location-based random routing for source location privacy in wireless sensor networks,” Sensors, vol. 18, no. 7, p. 2291, 2018.
H.Wang, G. Han,W. Zhang, M. Guizani, and S. Chan, “A probabilistic source location privacy protection scheme in wireless sensor networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5917-5927, 2019.
M. Bradbury, A. Jhumka, and M. Leeke, “Hybrid online protocols for source location privacy in wireless sensor networks,” Journal of Parallel and Distributed Computing, vol. 115, pp. 67-81, 2018.
N. Wang, J. Fu, J. Zeng, and B. K. Bhargava, “Source-location privacy full protection in wireless sensor networks,” Information Sciences, vol. 444, pp. 105-121, 2018.
H. Wang, L. Wu, Q. Zhao, Y. Wei, and H. Jiang, “Energy balanced source location privacy scheme using multibranch path in wsns for iot,” Wireless Communications and Mobile Computing, vol. 2021, 2021.
M. F. Al-Mistarihi, I. M. Tanash, F. S. Yaseen, and K. A. Darabkh, “Protecting source location privacy in a clustered wireless sensor networks against local eavesdroppers,” Mobile Networks and Applications, vol. 25, no. 1, pp. 42-54, 2020.
Y. Chen, J. Sun, Y. Yang, T. Li, X. Niu, and H. Zhou, “Psspr: A source location privacy protection scheme based on sector phantom routing in wsns,” International Journal of Intelligent Systems, 2021.
D. Tang, J. Gu, W. Han, and X. Ma, “Quantitative analysis on source-location privacy for wireless sensor networks,” in IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2020, pp. 805-809.
A. Arivarasi and P. Ramesh, “Review of source location security protection using trust authentication schema,” in 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 2020, pp. 215-222.
A. Alzaabi, A. Aldoobi, D. Alnuaimi, L. Alserkal, M. Alsuwaidi, and N. Ababneh, “Gridbased source location privacy protection schemes in iot wireless sensor networks,” in 2021 4th International Conference on Data Storage and Data Engineering, 2021, pp. 31-36.
A. Arivarasi and P. Ramesh, “An improved source location privacy protection using adaptive trust sector-based authentication with honey encryption algorithm in wsn,” Journal of Ambient Intelligence and Humanized Computing, pp. 1-13, 2021.
Z. Zhou, Y.Wang, P. Li, X. Chang, and J. Luo, “Node location privacy protection in unattended wireless sensor networks,” Mathematical Problems in Engineering, vol. 2021, 2021.
L. C. Mutalemwa and S. Shin, “Novel approaches to realize the reliability of location privacy protocols in monitoring wireless networks,” IEEE Access, vol. 9, pp. 104 820-104 836, 2021.
C. M. George and S. L. Babu, “A scalable correlation clustering strategy in location privacy for wireless sensor networks against a universal adversary,” in 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2019, pp. 1-3.
M. A. Tamtalini, A. E. B. El Alaoui, and A. El Fergougui, “Eslc-wsn: A novel energy efficient security aware localization and clustering in wireless sensor networks,” in 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IEEE, 2020, pp. 1-6.
A. Majeed, K. Liu, and N. Abu-Ghazaleh, “Tarp: Timing analysis resilient protocol for wireless sensor networks,” in 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. IEEE, 2009, pp. 85-90.
Y. Yang, M. Shao, S. Zhu, B. Urgaonkar, and G. Cao, “Towards event source unobservability with minimum network traffic in sensor networks,” in Proceedings of the first ACM conference on Wireless network security. ACM, 2008, pp. 77-88.
K. Bicakci, H. Gultekin, B. Tavli, and I. E. Bagci, “Maximizing lifetime of event-unobservable wireless sensor networks,” Computer Standards & Interfaces, vol. 33, no. 4, pp. 401-410, 2011.
Y. Yang, J. Zhou, R. H. Deng, and F. Bao, “Better security enforcement in trusted computing enabled heterogeneous wireless sensor networks,” Security and Communication Networks, vol. 4, no. 1, pp. 11-22, 2011.
S. Ortolani, M. Conti, B. Crispo, and R. D. Pietro, “Events privacy in wsns: A new model and its application,” in World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a. IEEE, 2011, pp. 1-9.
R. Lu, X. Lin, H. Zhu, and X. Shen, “Tesp2: Timed efficient source privacy preservation scheme for wireless sensor networks,” in Communications (ICC), 2010 IEEE International Conference on. IEEE, 2010, pp. 1-6.
Y. Ouyang, Z. Le, D. Liu, J. Ford, and F. Makedon, “Source location privacy against laptopclass attacks in sensor networks,” in Proceedings of the 4th international conference on Security and privacy in communication netowrks. ACM, 2008, pp. 1-10.
W. Yang and W. T. Zhu, “Protecting source location privacy in wireless sensor networks with data aggregation,” in International Conference on Ubiquitous Intelligence and Computing. Springer, 2010, pp. 252-266.
H. Chen and W. Lou, “From nowhere to somewhere: protecting end-to-end location privacy in wireless sensor networks,” in International Performance Computing and Communications Conference. IEEE, 2010, pp. 1-8.
A. Abbasi, A. Khonsari, and M. S. Talebi, “Source location anonymity for sensor networks,” in Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE. IEEE, 2009, pp. 1-5.
G. Suarez-Tangil, E. Palomar, B. Ramos, and A. Ribagorda, “An experimental comparison of source location privacy methods for power optimization in wsns,” in Proceedings of the 3rd WSEAS international conference on Advances in sensors, signals and materials, 2010, pp. 79- 84.
X. Deng, X. Xin, and T. Gao, “A location privacy protection scheme based on random encryption period for vsns,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 3, pp. 1351-1359, 2020.
M. Alrashidi, N. Nasri, S. Khediri, and A. Kachouri, “Energy-efficiency clustering and data collection for wireless sensor networks in industry 4.0,” Journal of Ambient Intelligence and Humanized Computing, 2020.
W. He, X. Liu, H. Nguyen, K. Nahrstedt, and T. Abdelzaher, “Pda: Privacy-preserving data aggregation in wireless sensor networks,” in IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007, pp. 2045-2053.
Y. Yang, X. Wang, S. Zhu, and G. Cao, “Sdap: A secure hop-by-hop data aggregation protocol for sensor networks,” vol. 11, no. 4, pp. 1-43, 2008.
Abizar, Farman, Jan, Khan, and Koubaa, “A smart energy-based source location privacy preservation model for internet of things-based vehicular ad hoc networks,” Transactions on Emerging Telecommunications Technologies, pp. 1-14, 2020.
J. Wu, Z. Chen, and M. Zhao, “An efficient data packet iteration and transmission algorithm in opportunistic social networks,” Journal of Ambient Intelligence and Humanized Computing, pp. 1-13, 2019.
A. S. H. Abdul-Qawy and T. Srinivasulu, “Sees: a scalable and energy-efficient scheme for green iot-based heterogeneous wireless nodes,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 4, pp. 1571-1596, 2019.
S. K. Singh and P. Kumar, “A load balancing virtual level routing (lbvlr) using mobile mule for large sensor networks,” The Journal of Supercomputing, vol. 75, no. 11, pp. 7426-7459, 2019.
A. Aranganathan and C. Suriyakala, “An efficient secure detection and prevention of malevolent nodes with lightweight surprise check scheme using trusted mobile agents in mobile ad-hoc networks,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 9, pp. 3493-3503, 2019.
J.-A. Kim, D. G. Park, and J. Jeong, “Design and performance evaluation of cost-effective function-distributed mobility management scheme for software-defined smart factory networking,” Journal of Ambient Intelligence and Humanized Computing, pp. 1-17, 2019.
G. DaSilva, V. Loud, A. Salazar, J. Soto, and A. Elleithy, “Context-oriented privacy protection in wireless sensor networks,” in 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2019, pp. 1-4.
C. Huang, M. Ma, Y. Liu, and A. Liu, “Preserving source location privacy for energy harvesting wsns,” Sensors, vol. 17, no. 4, p. 724, 2017.
M. Raj, N. Li, D. Liu, M. Wright, and S. K. Das, “Using data mules to preserve source location privacy in wireless sensor networks,” Pervasive and Mobile Computing, vol. 11, pp. 244 - 260, 2014.
G. Han, H. Wang, J. Jiang, W. Zhang, and S. Chan, “Caslp: A confused arc-based source location privacy protection scheme in wsns for iot,” IEEE Communications Magazine, vol. 56, no. 9, pp. 42-47, 2018.
R.-h. Hu, X.-m. Dong, and D.-l. Wang, “Protecting data source location privacy in wireless sensor networks against a global eavesdropper,” International Journal of Distributed Sensor Networks, vol. 10, no. 8, pp. 1-17, 2014.
L. Kazatzopoulos, C. Delakouridis, G. F. Marias, and P. Georgiadis, “ihide: hiding sources of information in wsns,” in Second International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing (SecPerU’06), 2006, pp. 1-8.
A.-S. Abuzneid, T. Sobh, and M. Faezipour, “An enhanced communication protocol for location privacy in wsn,” International Journal of Distributed Sensor Networks, vol. 11, no. 4, pp. 1-15, 2015.
J. Kumari, P. Kumar, and S. K. Singh, “Localization in three-dimensional wireless sensor networks: a survey,” The Journal of Supercomputing, vol. 75, no. 8, pp. 5040-5083, 2019.