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Internet of Things based activity surveillance of defence personnel

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Abstract

Developments in Internet of Things (IoT) Technology have been effectively utilized in different industrial sectors for monitoring, surveillance, and remote decision-making. The ability to acquire in-depth information about ubiquitous events has proliferated numerous opportunities for using this technology in sensitive domains like national defence security. In this paper, a comprehensive IoT-based framework is presented for analyzing national integrity of defence personnel with consideration to his/her daily activities. As reported by investigating agencies of many countries, routinely engagements of defence personnel are one of the premier reasons for vulnerability to national defence through intentional and unintentional information outflow of defence secrets. The work presented in this research is focused on monitoring various activities of defence personnel to determine his/her integral behavior in daily life. Specifically, Integrity Index Value is defined for every defence personnel based on different social engagements, and activities for detecting the vulnerability to national security. In addition to this, a probabilistic decision tree based automated decision making is presented to aid defence officials in analyzing various activities of a defence personnel for his/her integrity assessment. In order to validate the proposed framework, three challenging data sets have been considered for experimental evaluation. The computed results are compared with the state-of-the-art techniques for overall assessment. Results show that the proposed model achieves better performance in monitoring and analyzing activities of defence personnel for effective decision making.

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  1. Guru Nanak Dev University, Regional Campus, Gurdaspur, India

    Munish Bhatia & Sandeep K. Sood

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  1. Munish Bhatia
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  2. Sandeep K. Sood
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Correspondence to Munish Bhatia.

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Bhatia, M., Sood, S.K. Internet of Things based activity surveillance of defence personnel. J Ambient Intell Human Comput 9, 2061–2076 (2018). https://doi.org/10.1007/s12652-017-0507-3

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