Machine Learning Applications in Cyber Security (MLCS)
IEEE SSCI 2020 will run as a virtual conference.
Aim and Scope
The use of internet has simplified many different tasks and has gained increasing dominance in our daily life. Subsequently, this reliance on the Internet has made us vulnerable to new types of security threats and criminal exploitation of cyberspace has grown rapidly. Cybercrimes are now a serious problem and people are now more concerned about their personal or business data. Consequently, cyber security is a field of science in rapid development which aims at preventing and detecting cyber threats. Machine learning provides a variety of techniques that are applicable to problem solving within many disciplines. The aim of this special session is to obtain an insight into the current state of the practice of machine learning applications in addressing challenges faced in cyber security. Topics relevant to this session include, but are not limited to:
- Applications of machine learning in data encryption
- Applications of machine learning in the process of authentication
- Applications of machine learning in detection and prevention of network intrusion
- Applications of machine learning in digital security and social networks
- Applications of machine learning in detection and prevention of identity theft
- applications of machine Learning in identification of malwares
- Applications of machine Learning in detection and prevention of phishing threats
- Applications of machine learning in information security
- Applications of machine learning in cyber-attack detection and prevention
- Application of machine learning in web server attacks
- Applications of machine learning in fraud detection
- Applications of machine learning in identity resolution
Symposium Chairs
Where
Canberra, Australia
When
1-4 December 2020
ieeessci2020 at gmail . com