A Novel Genetic Algorithm-Based Decisive Approach for Detection of Influencing Node in Terrorist Network (An Anti-Terrorism Approach)
Year: 2025
Type: article
Abstract: In response to the destructiveness caused by terrorists, a framework for pinpointing pivotal nodes within their networks is necessary. This study introduces a Genetic Algorithm-based framework, progressing through three phases to identify crucial nodes. The first phase filters the network, the second employs the robust Genetic Algorithm to pinpoint critical nodes, and the third phase optimises for enhanced accuracy. Empirical results demonstrate the framework's improvement over conventional centrality-based methods, showing enhancements in concurrence, accuracy, and authenticity. The framework proposes a strategic shift toward focusing on the leaders of terrorist networks. This strategic recalibration optimises law enforcement efforts, streamlining their interventions for maximum impact. The inherent potential of this approach resonates in its capacity to significantly enhance the efficiency of security agencies. By concentrating resources on the nodes that truly matter, a more targeted and impactful counter-terrorism strategy can be forged. This innovative framework thus holds the promise of not only more effective counter-terrorism strategies but also a more adept response to the persistent challenges posed by terrorism.
DOI: 10.14419/xgbrcc61
Authors: Saurabh Singh, Madhuri Gokhale, Om Prakash Chauhan, Dr. Kanchan Cecil, Dr. S. K. Mahobiya, Namarta Sahayam, Khushi Koshta, Abhay Bairagi, D. M. Balaji, Preshit Tiwari, Dr. Mahesh Motwani, Dr. Anu Sayal
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411454584