Compressive sensing and paillier cryptosystem based secure data collection in WSN

被引:6
作者
Ifzarne, Samir [1 ]
Hafidi, Imad [1 ]
Idrissi, Nadia [1 ]
机构
[1] Natl Sch Appl Sci ENSA, Khouribga 25000, Morocco
关键词
Compressive sensing; Spatio-temporal sparse measurement matrix; Paillier cryptosystem; Secure WSN communication;
D O I
10.1007/s12652-021-03449-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the technological advancements and smart deployment, wireless sensor networks (WSNs) receive much attention in numerous real-time application fields. The stringent limitations of the battery of sensor devices and dubious wireless medium incur enormous challenges in the secure data collection and routing. Integration of compressive sensing and cryptography mechanism provide an efficient paradigm for reliable and energy efficient data collection over WSNs. With the aim of reducing communication cost and resilience against different WSN security attacks, this paper proposes a paillier cryptosystem and compressive sensing based routing ((PCSR)-S-2) protocol. To achieve its objective, the proposed (PCSR)-S-2 designs three mechanisms that are paillier cryptosystem based key distribution and management, intra-cluster data gathering, and secure data transmission. Initially, the (PCSR)-S-2 provides paillier security keys to each device for data authentication. Instead of providing a long term security keys among two entities, the lightweight key refreshing mechanism of paillier cryptosystem in (PCSR)-S-2 updates the keys over a specific time interval. Secondly, the design of the Spatio-temporal measurement matrix within the intra-cluster reduces the computation and communication costs considerably. The integration of zero noise factors with all transmitted data assists the BS in detecting and isolating malicious behaviors in the network. Thus, the (PCSR)-S-2 efficiently offers high security in terms of integrity and confidentiality over WSN. We compare (PCSR)-S-2 to existing schemes, CSDA developed in 2017 and CSHEAD in early 2021 which outperform CSDA. The new scheme (PCSR)-S-2 offer better performance for all KPIs and thus is the best model combining data confidentiality and attack detection in WSN
引用
收藏
页码:6243 / 6250
页数:8
相关论文
共 20 条
[1]  
Babenko Ludmila, 2020, Journal of Physics: Conference Series, V1624, DOI 10.1088/1742-6596/1624/3/032055
[2]  
Babenko L. K., 2021, Journal of Physics: Conference Series, V1812, DOI 10.1088/1742-6596/1812/1/012034
[3]  
David D.D.S., 2021, EUR J MOL CLIN MED, V7, P2559
[4]   CSDA: a novel cluster-based secure data aggregation scheme for WSNs [J].
Fang, Wei ;
Wen, XueZhi ;
Xu, Jiang ;
Zhu, JieZhong .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 3) :S5233-S5244
[5]   Wearable human motion posture capture and medical health monitoring based on wireless sensor networks [J].
Gao, Liang ;
Zhang, Gaofei ;
Yu, Bo ;
Qiao, Ziwei ;
Wang, Junchao .
MEASUREMENT, 2020, 166
[6]   A Secure Compressive Sensing-Based Data Gathering System via Cloud Assistance [J].
Hsieh, Sung-Hsien ;
Hung, Tsung-Hsuan ;
Lu, Chun-Shien ;
Chen, Yu-Chi ;
Pei, Soo-Chang .
IEEE ACCESS, 2018, 6 :31840-31853
[7]  
Ifzarne S., 2021, EMERGING TRENDS ICT, P241
[8]   Homomorphic Encryption for Compressed Sensing in Wireless Sensor Networks [J].
Ifzarne, Samir ;
Hafidi, Imad ;
Idrissi, Nadia .
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA'18), 2018,
[9]   Applications of Wireless Sensor Networks: An Up-to-Date Survey [J].
Kandris, Dionisis ;
Nakas, Christos ;
Vomvas, Dimitrios ;
Koulouras, Grigorios .
APPLIED SYSTEM INNOVATION, 2020, 3 (01) :1-24
[10]   EDMARA2: a hierarchical routing protocol for EH-WSNs [J].
Khademi Nori, Milad ;
Sharifian, Saeed .
WIRELESS NETWORKS, 2020, 26 (06) :4303-4317