Work

Review of Intrusion Detection System for Prediction of Cyber Attacks using AI Techniques

Year: 2024

Type: article

Abstract: The ever-evolving threat landscape of cyber-attacks necessitates continuous advancements in intrusion detection systems (IDS). This paper delves into the application of Artificial Intelligence (AI) techniques to enhance the predictive capabilities of IDS. We explore the limitations of traditional signature-based and anomaly-based IDS approaches and highlight the potential of AI methods like machine learning (ML) and deep learning (DL) for identifying and predicting novel and sophisticated cyber-attacks. By integrating AI into IDS, organizations can bolster their cyber security posture, proactively mitigate threats, and safeguard their critical infrastructure.

Source: International Journal of Scientific Research in Computer Science Engineering and Information Technology

DOI: 10.32628/cseit24104128

Authors: Divya Yadav, Prof. Chetan Gupta, Dr. Ritu Shrivastava

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4401669344

FWCI:

Cites: 19

Cited by:

Related to: 10