Advancing Cybersecurity: Leveraging Anomaly Detection for Proactive Threat Identification in Network and System Data

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Author(s): Dwijendra Nath Dwivedi (Krakow University of Economics, Poland), Ghanashyama Mahanty (Utkal University, India)and Shafik Khashouf (University of Liverpool, UK)
Copyright: 2024
Pages: 14
Source title: Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)
Source Author(s)/Editor(s): Sivaram Ponnusamy (Sandip University, Nashik, India), Jilali Antari (Ibn Zohr Agadir University, Morocco), Pawan R. Bhaladhare (Sandip University, Nashik, India), Amol D. Potgantwar (Sandip University, Nashik, India)and Swaminathan Kalyanaraman (Anna University, Trichy, India)
DOI: 10.4018/979-8-3693-3597-0.ch002

Keywords: Cyber and Network Security / Government & Law / Information Science Reference / Public & Sector Management

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Abstract

This chapter presents an innovative approach to cybersecurity by applying anomaly detection techniques to network and system data. The study uses a comprehensive dataset from simulated network environments to analyze various attack scenarios and evaluate classification algorithms. The approach uses an ensemble model to achieve superior detection accuracy and integrates feature importance analysis. The findings show that the proposed anomaly detection framework not only identifies known attack types but also detects novel threats, underscoring its potential as a pivotal tool in cybersecurity. This research paves the way for a new era in cybersecurity. These findings reveal that the proposed anomaly detection framework not only achieves high accuracy in identifying known attack types but also exhibits robustness in detecting novel threats, thereby underscoring its potential as a pivotal tool in the cybersecurity arsenal. This chapter advocates for a paradigm shift towards proactive threat identification, emphasizing the critical role of anomaly detection in fortifying network defenses against the ever-increasing sophistication of cyber-attacks.

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Advancing Cybersecurity: Leveraging Anomaly Detection for Proactive Threat Identification in Network and System Data

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