Rebellion of IoT: Infected Massive IoT Devices Observed through Darknet

Abstract

During the last five years, targets of Cyberattack have been changing from PCs to IoT devices. Consequently, infected IoT deceives are massively and continuously increasing even now. In this talk, we present an actual situation of the infected IoT deceives observed through a large-scale darknet (unused IP addresses) monitoring and analysis system called NICTER. We also show some case studies of coordinated vulnerability disclosure of IoT devices (e.g., a mobile router and home routers) in Japan.

Mr. Daisuke Inoue, Director

Cybersecurity Laboratory, Cybersecurity Research Institute, National Institute of Information and Communications Technology (NICT), Japan

Biography

Daisuke Inoue received his B.E. and M.E. degrees in electrical and computer engineering and Ph.D. degree in engineering from Yokohama National University in 1998, 2000 and 2003, respectively. He joined Communications Research Laboratory (CRL), Japan, in 2003. CRL was relaunched as National Institute of Information and Communications Technology (NICT) in 2004, where he is currently the director of Cybersecurity Laboratory. He received several awards including the best paper award at the 2002 Symposium on Cryptography and Information Security (SCIS 2002), the commendation for science and technology by the minister of MEXT, Japan, in 2009, the Good Design Award 2013, the Asia-Pacific Information Security Leadership Achievements (ISLA) 2014, the award for contribution to Industry-Academia-Government Collaboration by the minister of MIC, Japan, in 2016, and the Maejima Hisoka Award, in 2018.

Coupling IoT & Wearable Systems for Next-Gen Pervasive Computing

Abstract

There is a new wave of pervasive computing applications, which synergistically fuse the sensing and analytics capabilities of personal wearable/mobile devices and cheap IoT platforms to capture fine-grained human and environmental context. I will first describe broad advances in real-time wearable & IoT sensing to capture fine-grained insights on daily lifestyle activities (such as in-store shopping & eating) or state of physical objects (such as factory machinery vibrations). Next, for domains such as Industry 4.0 and smart cities, I will argue for the need for breakthroughs in key technologies, such as battery-less sensor systems, collaborative machine learning pipelines on embedded devices and multi-device immersive interfaces. The talk will highlight ongoing initiatives on these challenges, including the building of WiFi-based energy harvesting systems and multi-modal interfaces for augmented reality devices.

Prof. Archan Misra

School of Information Systems, Singapore Management University (SMU), Singapore

Biography

Archan Misra is a Professor, and the Associate Dean of Research, in the School of Information Systems at Singapore Management University (SMU). He is the Director of SMU’s Center for Applied Smart-Nation Analytics (CASA), which translates R&D into practical smart-city applications and services. Over a 20-year research career spanning both academics and industry (at IBM Research and Bellcore), Archan has made key contributions across a broad set of technologies spanning wireless networking, mobile & wearable computing and data analytics. His current research interests lie in applying mobile & wearable sensing, real-time analytics and crowdsourcing technologies for a variety of pervasive and urban computing applications. Archan received his Ph.D. from the University of Maryland at College Park, and chaired the IEEE Computer Society's Technical Committee on Computer Communications (TCCC) from 2005-2007.