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Game theory-based performance assessment of police personnel

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Abstract

Innovations in the Internet of Things (IoT) technology have revolutionized several industrial domains for smart decision-modeling. The capacity to perceive data about ubiquitous instances has resulted in numerous innovations in sensitive sectors like national security, and police departments. In this paper, an extensive IoT-based framework is introduced for assessing the integrity of police personnel based on his/her performance. The work introduced in this research is centered around analyzing several activities of police personnel to assess his/her integral behavior. In particular, the Probabilistic Measure of Integrity (PMI) is formalized based on professional data analysis for classification based on Bayesian Model. Moreover, the 2-player game model has been presented to assess the performance of police personnel for efficient decision-making. For validation purposes, the presented framework is deployed over challenging datasets acquired from the online repository of UCI. Based on the comparative analysis with the state-of-the-art decision-making models, the presented approach has registered enhanced performance in terms of Temporal Delay, Classification, Prediction, Reliability, and Stability.

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Notes

  1. Source:https://www.usatoday.com/in-depth/news/investigations

  2. Source:https://www.usatoday.com/in-depth/news/investigations/2019/04/24/usa-today-revealing-misconduct-records-police-cops/3223984002/

  3. Source:https://bluegripepolitics.files.wordpress.com/2015/09/

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Authors and Affiliations

  1. College of Computer Engineering and Science, Prince Sattam Bin ABdulaziz University, Al-Kharj, Saudi Arabia

    Tariq Ahamed Ahanger & Abdulaziz Aldaej

  2. Department of Computer Science and Engineering, Lovely Professional University, Phagwara, India

    Munish Bhatia

Authors
  1. Tariq Ahamed Ahanger
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  2. Munish Bhatia
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  3. Abdulaziz Aldaej
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Correspondence to Tariq Ahamed Ahanger.

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Ahanger, T.A., Bhatia, M. & Aldaej, A. Game theory-based performance assessment of police personnel. J Ambient Intell Human Comput 14, 511–526 (2023). https://doi.org/10.1007/s12652-021-03310-w

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