题目： AI-Driven Cyber Security
学者： Xiang Yang（项阳） 教授
单位： Swinburne University of Technology
时间： 11月1日 10:00—11:30
地点： 计控楼523室
Bio: 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.
AI-Driven Cyber Security
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.
自2017年起，信息安全技术系列学术报告将形成常态化，定期邀请网络空间安全领域的相关专家来做学术报告。已举办的信息安全技术系列学术报告六期，信息如下：
l 2017年信息安全新技术系列学术报告（第一期）
报告人： SiuMing YIU 副教授 香港大学
报告时间：2017年5月
报告题目：Onion ORAM: A Constant Bandwidth Blowup Oblivious RAM
l 2017年信息安全新技术系列学术报告（第二期）
报告人：Ilsun YOU副教授 顺天乡大学 韩国
报告时间：2017年8月
报告题目：Secure and Efficient Protocol for Route Optimization in PMIPv6-Based Smart Home IoT Networks
l 2017年信息安全新技术系列学术报告（第三期）
报告人：SiuMing YIU副教授 香港大学/张宪 博士 北京大学
报告时间：2017年9月
报告题目：区块链的架构及安全、运用可信计算技术提升区块链数据隐私及效率
l 2017年信息安全新技术系列学术报告（第四期）
报告人：蔡永泉 教授 北京工业大学
报告时间：2017年9月
报告题目：安全协议研究
l 2017年信息安全新技术系列学术报告（第五期）
报告人：董冕雄 副教授 室兰工业大学 日本
报告时间：2017年10月
报告题目：Human-Like Driving: Empirical Decision-Making System for Autonomous Vehicles
l 2017年信息安全新技术系列学术报告（第六期）
报告人：吕述望 教授 中科院/北京知识中心主任
报告时间：2017年10月
报告题目：网络空间安全态势
