时间：2021年12月6日9:30-21:30

腾讯会议：217-141-932

摘要：

It is not unusual that we accidentally deleted an important file or lost files after a computer crash. Also, it is very often that criminals try to hide their wrongdoings by deleting digital evidences (e.g., downloaded illicit images or stolen confidential data or trade secret), which could indict them in the court. Therefore, it has been in high demand to recover deleted or lost files, for example, during an investigation. In this talk, we will discuss technological advances in file recovery techniques. Specifically, we look at file carving techniques, which is the process of reconstructing files based solely on their contents. Also, we identify and discuss major challenges and research issues to be addressed in the development of file carving solutions. For example, privacy concerns may keep many people from assisting with an investigation or seeking professional assistance since they are afraid of embarrassment and humiliation, especially, when sensitive data are involved.

林晓东简介

Xiaodong Lin received the PhD degree in Information Engineering from Beijing University of Posts and Telecommunications, China, and the PhD degree (with Outstanding Achievement in Graduate Studies Award) in Electrical and Computer Engineering from the University of Waterloo, Canada. He is currently a full Professor in the School of Computer Science, University of Guelph, Canada. His research interests include wireless communications and network security, computer forensics, software security, and applied cryptography. Dr. Lin serves as an Associate Editor for many international journals. He has served or is serving as a guest editor for many special issues of IEEE, Elsevier and Springer journals and as a symposium chair or track chair for IEEE/ACM conferences. He also served on many program committees of international conferences. He was Chair of Communications and Information Security Technical Committee (CISTC) – IEEE Communications Society (2016-2017). He is a Fellow of the IEEE.

主办单位：

江苏省网络空间安全工程实验室

江苏省计算机信息处理技术重点实验室

苏州大学bat365在线官网登录入口

苏州市人工智能学会

机器学习与类脑计算国际合作实验室