Topological dynamics algorithms for enhanced cybersecurity protocols

Lenka, Reena Mahapatra; Tiwari, Sudhakar; Dommari, Sandeep; Bhosale, Varsha Kiran; Dass, Pranav; Chavan, Nikita; Tandon, Nitin

doi:10.47974/JDMSC-2435

Open Access Research Article

Topological dynamics algorithms for enhanced cybersecurity protocols

Reena Mahapatra Lenkareena.lenka@sims.eduSymbiosis Institute of Management StudiesSymbiosis International (Deemed) UniversityPune, Maharashtra, 411020, IndiaView full profile → , Sudhakar Tiwarisudhakar.tiwari@ieee.orgSchaumburgIllinois, 60195, United StatesView full profile → , Sandeep Dommarisandeep.dommari@ieee.orgProsperTexas, 75078, United StatesView full profile → , ^*Varsha Kiran BhosaleCorresponding authorvkbhosale21@gmail.comDepartment of Computer Science and EngineeringArvind Gavali College of EngineeringMaharashtra, IndiaView full profile → , Pranav Dasspdasscs@shyamlal.du.ac.inDepartment of Computer ScienceShyam Lal CollegeUniversity of DelhiDelhi, 110032, IndiaView full profile → , Nikita Chavannikita.chavan@dypvp.edu.inDepartment of Electronics and TelecommunicationPimpriDr. D. Y. Patil Institute of TechnologyPune, Maharashtra, IndiaView full profile → , Nitin Tandontandonnitin12004@gmail.comSchool of Engineering and TechnologyCT UniversityLudhiana, Punjab, 142024, IndiaView full profile →

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pp. 2197–2207Vol. 28Issue 5-BAugust 2025DOI: 10.47974/JDMSC-2435 Crossmark XML

Received:: 05 Nov 2024
Published Online:: 30 Aug 2025
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2435
Pages:: 2197–2207

Abstract

Topological dynamics is a way to look at the features of changing systems through the lens of topology. It has a lot of potential for making security measures better. This method takes advantage of the structure and behaviour of networks to better find, stop, and deal with cyber risks. These algorithms can find strange things and possible security holes that other methods might miss by describing the physical features of network data and how systems interact with each other. Additionally, topological dynamics can help create security measures that change in response to new threats, making them a strong defense against cyberattacks that get smarter all the time. By adding these methods to cybersecurity protocols, it will be easier to find and stop complicated, sneaky attacks like Advanced Persistent Threats (APTs) and zero-day breaches. Topological dynamics methods allow for a more complete and proactive security stance by recording the global and local changes in how networks behave. This abstract talks about how topological dynamics could change cybersecurity. It stresses the need for more study and development in this new area to protect important digital systems and private data as the digital world changes all the time.

Keywords

Topological dynamics Network topology Anomaly detection Supervised learning Unsupervised learning Isolation forest Dynamic behavior analysis

Subject Classifications

91G20

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