Role of Machine Learning and Data Mining in Internet Security: Standing State with Future Directions. (2nd July 2018)

• Record Type: Journal Article
• Authors: Ahmad, Bilal; Jian, Wang; Anwar Ali, Zain
• Other Names: Zhang Rui Academic Editor.
• Is Part Of: Journal of computer networks and communications. Volume 2018(2018)
• Publication Date: 2018-07-02
• Subjects: Computer networks -- Periodicals; Computer science -- Periodicals; 004.605
• DOI: 10.1155/2018/6383145
• Languages: English
• ISSNs: 2090-7141

Abstract

Abstract : As time progresses with vast development of information technology, a large number of industries are more dependent on network connections for sensitive business trading and security matters. Communications and networks are highly vulnerable to threats because of increase in hacking. Personnel, governments, and armed classified networks are more exposed to difficulties, so the need of the hour is to install safety measures for network to prevent illegal modification, damage, or leakage of serious information. Intrusion detection, an important entity towards network security, has the ability to observe network activity as well as detect intrusions/attacks. This study highlights the developing research about the application of machine learning and data mining in Internet security. We provide background, enthusiasm, discussion of challenges, and recommendations for the application of ML/DM in the field of intrusion detection.