Deep Learning-based Cybersecurity Framework for IoT Environments

Title

Deep Learning-based Cybersecurity Framework for IoT Environments

Creator

Mahapatra, Abhipsa; Alapatt, Bosco Paul; George, Jossy P

Description

The article "Cyber Security In IOT using deep learning Approach"presumably states the pressing need for increased cybersecurity within the rapidly growing Internet of Things (IoT) paradigm. It stresses the distinct problems brought by IoT settings, such as distributed systems and heterogeneous devices, that make the old methods of security inoperable. The article we underscores the promise of deep learning and AI as novel solutions for identifying and foiling cyberattacks, but also notes the emergence of adversarial AI employed by cybercriminals. In addition, it urges proactive cybersecurity measures and ongoing surveillance to counter changing threats, especially with IoT networks becoming increasingly complex with applications in smart cities and other industries. The abstract can conclude by emphasizing the need for continued research into AI-based cybersecurity solutions to guarantee effective protection against emerging threats. 2025 IEEE.

Source

Proceedings of 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2025;pp.1472-1477

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Cybersecurity; Deep Learning; Internet Of Things; Intrusion Detection Systems; Machine Learning Algorithms

Coverage

Mahapatra A., Christ University, India; Alapatt B.P., Christ University, India; George J.P., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833151175-3;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICICV64824.2025.11085802

https://www.scopus.com/pages/publications/105013071188?origin=resultslist