International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Intelligent Defense System for Identifying, Predicting and Mitigating Terrorist Activities

Abstract

Reconnaissance is a crucial part of military combat; as well as attack prediction and develop necessary mitigation and combat strategies to fight back or retreat. Simultaneously communicating this information among the troops is pivotal to saving lives. The advancement of drone technology has opened up new possibilities for monitoring and combating terrorist activities. In this research study, the objective is utilizing image data obtained through drone monitoring to predict target variables related to terrorist attacks, specifically concentrating on the prediction of attack types. And depending on that data predicting and developing necessary defense strategies. And finally, the predicted strategies will be communicated securely among the friendly allies and troops. The system is anchored upon developing the system cost effective and more budgetary feasible manner. Focusing on developing countries suffering from a variety of wars.

Country : Sri Lanka

1 Laksahan H. G. V.2 Abeywicrama W. P U.3 Lukshithan K. H. K.4 Liyanapathirana J. B.5 Nelum Amarasena6 Supipi Karunathilake

  1. Faculty of Computing, Department of Software Engineering, Sri Lanka Institute of Information Technology, Sri Lanka
  2. Faculty of Computing, Department of Information Systems Engineering, Sri Lanka Institute of Information Technology, Sri Lanka
  3. Faculty of Computing, Department of Software Engineering, Sri Lanka Institute of Information Technology, Sri Lanka
  4. Faculty of Computing, Department of Software Engineering, Sri Lanka Institute of Information Technology, Sri Lanka
  5. Faculty of Computing, Department of Information Technology, Sri Lanka Institute of Information Technology, Sri Lanka
  6. Faculty of Computing, Department of Information Technology, Sri Lanka Institute of Information Technology, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 87-93

doi.org/10.47001/IRJIET/2023.711012

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