UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2505629


Registration ID:
562349

Page Number

f270-f275

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Title

How AI Can Be Used To Predict And Prevent Drone Swarm Attacks In Modern-Day Conflict

Abstract

This paper explores the growing threat posed by swarm drones (UAVs) and the countermeasures being developed to address these risks. Drones, initially used in military operations, have proliferated across various sectors, from military to civilian applications, due to advances in technology, affordability, and miniaturization. Their dual-use nature, serving both legitimate and malicious purposes, presents significant security challenges. Militarily, drones have evolved from reconnaissance tools to weapons used by both state and non-state actors, including terrorist groups, to conduct asymmetric warfare and targeted attacks on critical infrastructure. This paper explores how AI can be utilized to counter drone swarms, the technologies involved, and the future of AI-driven defence systems. The rise of autonomous drones and drone swarms powered by artificial intelligence presents a new frontier of challenges in warfare and security. In response, counter-drone technologies (C-UAV) have been developed, including AI Technologies for Drone Swarm Defence. For many countries which face increasing drone threats along its borders, robust counter-drone strategies are essential. Despite its potential, AI-driven drone defence faces challenges. Addressing these obstacles is crucial in ensuring reliable and effective AI-driven defence systems. The paper also discusses the challenges of legal, ethical, and operational concerns. Governments and defence agencies must invest in AI-driven solutions to stay ahead of evolving threats. Meanwhile, the future holds immense potential with quantum AI, swarm warfare, directed energy weapons, and 6G integration.

Key Words

AI, ML, Drone Attack, Artificial Intelligence, Drone Swarms, Challenges in AI-Based Drone Defence, Future of AI

Cite This Article

"How AI Can Be Used To Predict And Prevent Drone Swarm Attacks In Modern-Day Conflict", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.f270-f275, May-2025, Available :http://www.jetir.org/papers/JETIR2505629.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"How AI Can Be Used To Predict And Prevent Drone Swarm Attacks In Modern-Day Conflict", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppf270-f275, May-2025, Available at : http://www.jetir.org/papers/JETIR2505629.pdf

Publication Details

Published Paper ID: JETIR2505629
Registration ID: 562349
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: f270-f275
Country: Shillong, Meghalaya, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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