{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T12:20:16Z","timestamp":1778156416706,"version":"3.51.4"},"reference-count":16,"publisher":"Engineering and Technology Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["jcm"],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:p>Privacy protection in Wireless Sensor Networks (WSN) constitutes a big challenge for the adoption of WSNs in data sensitive applications like health monitoring or tracking and surveillance of borders. Privacy protection require additional controls and communications overloads, which impact the overall network lifetime. Research community has proposed several scenarios to minimize the impact of data protection generally based on secure aggregation and encryption to meet the practical requirements of energy constraints imposed by WSN. However, efficiency of privacy protection must be assessed before deployment. The privacy protection mechanisms are evaluated based on their hackability and network performance using four main metrics:  Control Packet Overhead, delay, Throughput, Packet delivery ratio. The purpose of this paper is to propose a secure aggregation scheme based on homomorphic encryption. The new scheme will be will be compared to another scheme based on network metric and attack detection accuracy to have full view on the scheme performance for both network and security metrics. The proposed scheme named \u201cCluster-based Semi-Homomophic Encryption Aggregated Data\u201d (CSHEAD) offer better performance as it reduces the controls overhead with higher detection accuracy. The conducted simulations confirm the expected results.<\/jats:p>","DOI":"10.12720\/jcm.16.8.323-330","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T07:51:00Z","timestamp":1634716260000},"page":"323-330","source":"Crossref","is-referenced-by-count":10,"title":["A Novel Secure Data Aggregation Scheme Based on Semi-Homomorphic Encryption in WSNs"],"prefix":"10.12720","author":[{"name":"National School of Applied Science: ENSA Khouribga, Khouribga 25000, Morocco","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samir","family":"Ifzarne","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Imad","family":"Hafidi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadia","family":"Idrissi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4977","published-online":{"date-parts":[[2021]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","unstructured":"[1] P. H. Vilela, J. J. P. C. Rodrigues, R. da R. Righi, S. Kozlov, and V. F. Rodrigues, \"Looking at fog computing for e-health through the lens of deployment challenges and applications,\" Sensors, vol. 20, no. 9, p. 2553, Apr. 2020.","DOI":"10.3390\/s20092553"},{"key":"ref1","unstructured":"[2] J. F. A. Rida, \"Development of a remote health care wireless sensor network based on wireless spread spectrum communication networks,\" Materials Today: Proceedings, Mar. 2021."},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"[3] L. Fan, L. Liu, H. Gao, Z. Ma, and Y. Wu, \"Secure K-Nearest neighbor queries in two-tiered mobile wireless sensor networks,\" Digital Communications and Networks, p. S2352864820302674, Oct. 2020.","DOI":"10.1016\/j.dcan.2020.09.006"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"[4] M. Kaur and A. Munjal, \"Data aggregation algorithms for wireless sensor network: A review,\" Ad Hoc Networks, vol. 100, p. 102083, Apr. 2020.","DOI":"10.1016\/j.adhoc.2020.102083"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"[5] X. Qi, X. Liu, J. Yu, and Q. Zhang, \"A privacy data aggregation scheme for wireless sensor networks,\" Procedia Computer Science, vol. 174, pp. 578-583, Jan. 2020.","DOI":"10.1016\/j.procs.2020.06.127"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"[6] Q. Zhang, X. Liu, J. Yu, and X. Qi, \"A trust-based dynamic slicing mechanism for wireless sensor networks,\" Procedia Computer Science, vol. 174, pp. 572-577, 2020.","DOI":"10.1016\/j.procs.2020.06.126"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"[7] A. Ara, M. Al-Rodhaan, Y. Tian, and A. Al-Dhelaan, \"A secure privacy-preserving data aggregation scheme based on bilinear elgamal cryptosystem for remote health monitoring systems,\" IEEE Access, vol. 5, pp. 12601-12617, 2017.","DOI":"10.1109\/ACCESS.2017.2716439"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"[8] O. R. M. Boudia, S. M. Senouci, and M. Feham, \"Elliptic curve-based secure multidimensional aggregation for smart grid communications,\" IEEE Sensors Journal, vol. 17, no. 23, pp. 7750-7757, Dec. 2017.","DOI":"10.1109\/JSEN.2017.2720458"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"[9] S. Goryczka and L. Xiong, \"A comprehensive comparison of multiparty secure additions with differential privacy,\" IEEE Transactions on Dependable and Secure Computing, vol. 14, no. 5, pp. 463-477, Sep. 2017.","DOI":"10.1109\/TDSC.2015.2484326"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"[10] R. Lu, K. Heung, A. H. Lashkari, and A. A. Ghorbani, \"A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT,\" IEEE Access, vol. 5, pp. 3302-3312, 2017.","DOI":"10.1109\/ACCESS.2017.2677520"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"[11] D. He, N. Kumar, S. Zeadally, A. Vinel, and L. T. Yang, \"Efficient and privacy-preserving data aggregation scheme for smart grid against internal adversaries,\" IEEE Transactions on Smart Grid, vol. 8, no. 5, pp. 2411-2419, Sep. 2017.","DOI":"10.1109\/TSG.2017.2720159"},{"key":"ref11","doi-asserted-by":"publisher","unstructured":"[12] W. Fang, X. Wen, J. Xu, and J. Zhu, \"CSDA: A novel cluster-based secure data aggregation scheme for WSNs,\" Cluster Comput, vol. 22, no. 3, pp. 5233-5244, May 2019.","DOI":"10.1007\/s10586-017-1195-7"},{"key":"ref12","doi-asserted-by":"publisher","unstructured":"[13] B. Alaya, L. Laouamer, and N. Msilini, \"Homomorphic encryption systems statement: Trends and challenges,\" Computer Science Review, vol. 36, p. 100235, May 2020.","DOI":"10.1016\/j.cosrev.2020.100235"},{"key":"ref13","doi-asserted-by":"publisher","unstructured":"[14] W. Ren, et al., \"Privacy-preserving using homomorphic encryption in mobile IoT systems,\" Computer Communications, vol. 165, pp. 105-111, Jan. 2021.","DOI":"10.1016\/j.comcom.2020.10.022"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"[15] I. Daanoune, B. Abdennaceur, and A. Ballouk, \"A comprehensive survey on LEACH-based clustering routing protocols in wireless sensor networks,\" Ad Hoc Networks, vol. 114, p. 102409, Apr. 2021.","DOI":"10.1016\/j.adhoc.2020.102409"},{"key":"ref15","doi-asserted-by":"publisher","unstructured":"[16] V. R. Falmari and M. Brindha, \"Privacy preserving cloud based secure digital locker using paillier based difference function and chaos based cryptosystem,\" Journal of Information Security and Applications, vol. 53, p. 102513, Aug. 2020.","DOI":"10.1016\/j.jisa.2020.102513"}],"container-title":["Journal of Communications"],"original-title":[],"link":[{"URL":"http:\/\/www.jocm.us\/uploadfile\/2021\/0720\/20210720025601417.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T06:29:04Z","timestamp":1637821744000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jocm.us\/show-258-1676-1.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":16,"URL":"https:\/\/doi.org\/10.12720\/jcm.16.8.323-330","relation":{},"ISSN":["2374-4367"],"issn-type":[{"value":"2374-4367","type":"print"}],"subject":[],"published":{"date-parts":[[2021]]}}}