来源： 计算机学院 | 发表时间： 2018-01-05 | 浏览次数： 2192
报告题目：AI-Driven Cyber Security
报告人：Professor Yang Xiang （项阳）
Professor Yang Xiang received his PhD in Computer Science from Deakin University, Australia. He is currently the Dean of Digital Research & Innovation Capability Platform at Swinburne University of Technology. His research interest is in cyber security, which covers system security, data security, and application security. He has published more than 200 research papers in international journals and conferences, such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Information Security and Forensics, and IEEE Journal on Selected Areas in Communications. He has served as the Associate Editor of IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Security and Communication Networks (Wiley), and the Editor of Journal of Network and Computer Applications (Elsevier). He is a Senior Member of the IEEE.
Today we have evidenced massive cyber attacks, such as WannaCry ransomware, having hit millions of people in more than 150 countries with billions of dollars lose. Cyber security has become one of the top priorities globally in the research and development agenda.
Recent years, Artificial Intelligence (AI) has been widely used in numerous fields and industries, including finance, healthcare, education, and transportation, supported by a diversity of datasets from a huge number of sources in different domains. These datasets consist of multiple modalities, each of which has a different representation, distribution, scale, and density.
People have recognized that AI technologies are some of the most effective defenses against cyber intrusions. Cyber security companies are increasingly looking to AI to improve defense systems and create the next generation of cyber protection. A few important questions have been asked, such as:
·How AI models learn and understand what is normal and what is abnormal on a system?
·How AI that uses machine learning and other technologies can differentiate benign or harmful binary or source codes?
·How can hackers bypass AI-driven security solutions?
Although AI has been talked as one of the game-changing technologies for cyber security, many doubts still persist. New methods and tools, consequently, must follow up in order to adapt to this emerging security paradigm. In this talk, we will discuss the concept of AI-Driven Cyber Security and how data analytics can be used to address the security and privacy problems in cyberspace.