Identity-based Deniable Authentication for Mobile Ad Hoc Networks
Dr. SK Hafizul Islam
Indian Institute of Information Technology Kalyani
Abstract:
A Mobile Ad Hoc Network (MANET) is an infrastructure-less wireless network consisting of self-configured mobile nodes. The mobile nodes in a MANET can communicate dynamically without using any router or access point. The mobile nodes forward their data to their neighbors and form an on-the-fly network. MANET is used in various real-time applications, such as e-voting, army tactical communication, healthcare applications, disaster rescue, online message exchange, etc. However, source authentication and deniability are essential properties in such applications. These properties can be addressed using a deniable authentication (DA) protocol. In a DA protocol, a mobile node (receiver) can directly verify the source mobile node of a message without consulting a trusted third party. The literature has designed various DA protocols, called PKC-DA, based on the certificate authority-based public key cryptography (CA-PKC) that utilizes a public key infrastructure (PKI). The PKI is used to issue, store, deliver, and revoke the public key certificates of the mobile nodes. However, these protocols suffer from certificate management issues. Identity-based Cryptography (IBC) is used to construct DA protocols to mitigate this issue. Identity-based deniable authentication (IBDA) protocols eliminated the need of PKI. This talk will discuss some recently proposed IBDA protocols, their security issues, mitigation strategies, and security analysis methods.
Biography:
SK Hafizul Islam received the M.Sc. degree in Applied Mathematics from Vidyasagar University, Midnapore, India, in 2006, and the M.Tech. degree in Computer Application and the Ph.D. degree in Computer Science and Engineering in 2009 and 2013, respectively, from the Indian Institute of Technology [IIT (ISM)] Dhanbad, Jharkhand, India, under the INSPIRE Fellowship Ph.D. Program (funded by the Department of Science and Technology, Government of India). He is currently an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani (IIIT Kalyani), West Bengal, India. Before joining the IIIT Kalyani, he was an Assistant Professor at the Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani (BITS Pilani), Rajasthan, India. He has more than eleven years of teaching and fourteen years of research experience. He has authored or co-authored 150 research papers in journals and conference proceedings of international reputes. His research interests include Cryptography, Information Security, Quantum Cryptography, Lattice-based Cryptography, IoT & Blockchain Security, and Deep Learning. He has edited four books for the publishers Scrivener-Wiley, Elsevier, and CRC Press. He is an Associate Editor for “IEEE Transactions on Intelligent Transportation Systems”, “IEEE Access”, “InternationalJournal of Communication Systems (Wiley)”, “Telecommunication Systems (Springer)”, “IET Wireless Sensor Systems”, “Security and Privacy (Wiley)”, “Array-Journal (Elsevier)”, and “Journal of Cloud Computing (Springer)”. He received the University Gold Medal, the S. D. Singha Memorial Endowment Gold Medal, and the Sabitri Parya Memorial Endowment Gold Medal from Vidyasagar University in 2006. He also received the University Gold Medal from IIT(ISM) Dhanbad in 2009 and the OPERA award from BITS Pilani in 2015. He is a senior member of IEEE and a member of ACM.
Weakly Supervised & Interactive Image Segmentation
Prof. Yao Zhao
Beijing Jiaotong University, China
Abstract:
Image semantic segmentation is an interdisciplinary research direction involving computer vision, pattern recognition, and artificial intelligence. It is a key scientific issue in applications such as autonomous driving, intelligent monitoring, virtual reality, medical image diagnosis, and robotics. At present, deep learning has made significant breakthroughs in the field of image semantic segmentation. However, a large number of pixel level annotations typically require a significant amount of time, money, and manpower. Therefore, the insufficient or missing training data has become one of the key factors restricting the further development of image semantic segmentation.
In order to reduce the huge burden of pixel level annotation, many weakly supervised image semantic segmentation techniques have been proposed in recent years, which utilize a large amount of easily obtainable weakly supervised information (such as image labels) to complete more complex image semantic segmentation tasks.
Interactive semantic segmentation is an important technical means to reduce the cost of pixel level annotation by guiding computers to achieve fast and accurate object segmentation through simple human-computer interaction.
This report will introduce some research works of my research group in weakly supervised image semantic segmentation and interactive image segmentation.
Biography:
Prof. Yao Zhao is a distinguished Changjiang Scholar, a Distinguished Young Scholar of NSFC, a leader in scientific and technological innovation of the Ten Thousand Talents Program, IEEE Fellow. He is currently the director of the Institute of Information Science at Beijing Jiaotong University and the director of the Beijing Key Laboratory of Modern Information Science and Network Technology. His research field is digital media information processing and intelligent analysis, including image/video compression, digital media content security, media content analysis and understanding, artificial intelligence, etc. He is leading or led over 30 projects including the 2030 New Generation Artificial Intelligence Project, the 973 Plan, and the 863 Plan for technological innovation. He has published over 200 papers in international journals and conferences, including IEEE Transactions. As the first prize winner, Prof. Zhao has won 5 provincial and ministerial level awards such as the first prize of the Beijing Science and Technology Award. Eight doctoral students under his guidance won the Excellent Doctoral Dissertation Award of Beijing and China Computer Federation. He was invited to serve as an editorial board member for multiple international magazines, including IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology. He is a member of the State Council Discipline Evaluation Group for the discipline of "Information and Communication Engineering" and an expert of the Cloud Computing and Big Data Special Project of the Key R&D Program of the Ministry of Science and Technology.