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

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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 linear WSNs. Here, the infrastructure being monitored inherently forms linearity (straight line through the placement of sensor nodes). Therefore, such WSNs 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.

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Authors and Affiliations

  1. Computer Engineering, Pandit Deendayal Energy University, Gandhinagar, 382007, India

    Kaushal Shah

  2. Computer Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, India

    Devesh Jinwala

Authors
  1. Kaushal Shah
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  2. Devesh Jinwala
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Corresponding author

Correspondence to Kaushal Shah.

Additional information

Kaushal Shah is currently working as an Assistant Professor in the Computer Engineering department at Pandit Deendayal Energy University, India. He has completed his PhD in Computer Engineering at the Department of Computer Engineering, S. V. National Institute of Technology, India. He has received his ME degree in Computer Science and Engineering from Government Engineering College, India. His research interests broadly include blockchain technology, information security, wireless sensor networks and protocol designing.

Devesh Jinwala has been working as a Professor in Computer Engineering at the Department of Computer Engineering, S. V. National Institute of Technology, India since 1991. His principal research areas of interest are broadly security, cryptography, algorithms and software engineering. Specifically his work focuses on security and privacy issues in resource-constrained environments (wireless sensor networks) and data mining, attribute-based encryption techniques, requirements specification, and ontologies in software engineering. He has been/is the principal investigator of several sponsored research projects funded by ISRO, GUJCOST, Govt of Gujarat and DiETY-MCIT-Govt of India.

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Shah, K., Jinwala, D. Privacy preserving secure expansive aggregation with malicious node identification in linear wireless sensor networks. Front. Comput. Sci. 15, 156813 (2021). https://doi.org/10.1007/s11704-021-9460-6

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  • DOI: https://doi.org/10.1007/s11704-021-9460-6

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