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A hybrid optimization for threat detection in personal health crisis management using genetic algorithm

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Abstract

We propose a genetic algorithm based alert technique for user safety and security within specific area in real time considering distinct health related factors to judge behavioral and psychological status depending on deviations in typical user movement as user protection is one of the major concerns in our society to defend health issues, human trafficking, and to aware users during emergency. Users’ emergency health status and typical health status are compared for generating health-based alert. Alert and weightage factors are introduced to calculate fitness function for proposed framework to attain higher efficiency in case of user protection. Fitness function is calculated to monitor user health status. Each user health status is compared with predefined threshold values in typical and emergency situations. In case, fitness function values are not in desired range in respect of a specific users’ health status, an immediate alert has been raised.

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Acknowledgements

The research work is funded by Computer Innovative Research Society, West Bengal, India. Award number is “2021/CIRS/R&D/1001-01-14/HOTDPHCMGA”.

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Authors and Affiliations

  1. Netaji Subhash Engineering College, Kolkata, 700152, India

    Mou De & Anirban Kundu

  2. Computer Innovative Research Society, Howrah, West Bengal, 711103, India

    Mou De & Anirban Kundu

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  1. Mou De
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  2. Anirban Kundu
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Correspondence to Anirban Kundu.

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De, M., Kundu, A. A hybrid optimization for threat detection in personal health crisis management using genetic algorithm. Int. j. inf. tecnol. 14, 2603–2618 (2022). https://doi.org/10.1007/s41870-022-00927-8

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