AIIS 2022 Special Session on Artificial Intelligence in Information Security
Special Session Organizers
Prof. Shynar Mussiraliyeva
Department of Information Systems
Al-Farabi Kazakh National University, Kazakhstan
E-mail: mussiraliyevash@gmail.com
PhD. Batyrkhan Omarov
Department of Information Systems
Al-Farabi Kazakh National University, Kazakhstan
E-mail: batyahan@gmail.com
Objectives and topics
The speed of development and change of cyberspace in the last 3-5 years has amazed the imagination of not only inexperienced users, but also venerable specialists in the field of information technology and information security. There is an exponential development not even of the volume of processed data, the number of devices or applications/services connected to the Internet, but also of the concepts and technologies themselves, and the comprehensive digitalization and the transition of most businesses to online in connection with the pandemic has only accelerated this trend.
Classical deviation analysis systems are built, as a rule, on some rules set in advance by operators: for example, exceeding the volume of specific traffic, a certain number of unsuccessful authentication attempts, and a certain number of consecutive triggers of information security. Systems based on artificial intelligence will be able to make automated decisions and help security personnel make faster and more effective decisions about attacks or anomalies.
We would like to offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area. The scope of the AIIS 2022 includes, but is not limited to the following topics:
• Information Security
• Cybersecurity
• Machine Learning
• Deep learning
• Neural Networks
• AI-based methods for cybersecurity
• AI-based methods for cyber attacks
• AI-based methods for anomalies detection
• AI-based detection/defense for cyber attacks
• AI for protecting data in cyberspace security
• AI for system security in cyberspace
• AI for mobile security
• Artificial Intelligence of Things
• Adversarial attack and defense in cyberspace
• Adversarial machine learning in cyberspace
• Research challenges in AI for cyberspace security
