Machine Learning in Cyber Threats Intelligent System
- Title
- Machine Learning in Cyber Threats Intelligent System
- Creator
- Jaisingh W.; Nanjundan P.; George J.P.
- Description
- Cybercriminals disrupt services, exfiltrate sensitive data, and exploit victim machines and networks to perform malicious activities against organizations. A malicious adversary seeks to steal, destroy, or compromise business assets that have a specific financial, reputational, or intellectual value. As a result, organizations are complementing their perimeter defenses with threat intelligence platforms to address these security challenges and eliminate security blind spots for their systems. Any type of information useful for identifying, assessing, monitoring, and responding to cyber threats is considered cyber threat intelligence. Organizations can benefit from increased visibility into cyber threats and policy violations. An organizations threat intelligence allows them to prevent or mitigate various types of cyberattacks. The use of machine learning and artificial intelligence is a key component of cybersecurity conflict, which together allows attackers and defenders to function at new speeds and scales. In spear-phishing attacks, relatively frivolous machine learning algorithms have been used to overwhelming effect as adversarial artificial intelligence. This chapter discusses the various cyber threats, cyber security attack types, publicly available datasets for research work, and machine learning techniques in cyber-physical systems. 2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors.
- Source
- Artificial Intelligence for Cyber Defense and Smart Policing, pp. 1-20.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Jaisingh W., Presidency University, Bengaluru, India; Nanjundan P., Department of Data Science, Christ University, Pune, Lavasa, India; George J.P., Department of Data Science, Christ University Delhi NCR Campus, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100381553-2; 978-103217093-0
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Jaisingh W.; Nanjundan P.; George J.P., “Machine Learning in Cyber Threats Intelligent System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18131.