Collection
Securing IoT Applications Intelligently and At-scale
IoT applications that leverage edge/cloud resources in a converged manner are becoming pervasive, where heterogeneous IoT devices are used at large scales in consumer infrastructures such as smart home, telehealth, self-driving vehicles, and manufacturing. However, such IoT applications present new attack surfaces, and allow cyber criminals to leverage large number of networked IoT devices to launch high-impact attacks (such as the Mirai Botnet, implantable cardiac devices hacking, Jeep hack) that cause loss of revenue or loss of data/resource integrity, availability and confidentiality.
This Topical Collection aims to attract submissions that cover intelligent solutions that utilize advances in artificial intelligence/machine learning to secure IoT applications in small to large scale deployments. Original papers are solicited on topics of interest that include, but are not limited to:
(a) Edge/cloud computing services for securing IoT infrastructures;
(b) IoT data privacy and security;
(c) Middleware for securing IoT applications;
(d) Zero trust solutions for IoT and edge;
(e) Securing IoT systems for critical applications such as smart grid, manufacturing, telehealth;
(f) Case studies and practical experiences for designing robust IoT applications;
(g) Threat modeling for IoT applications to counter modern threats;
(h) Blockchain based defense solutions for IoT;
(i) Secure machine-machine IoT communication;
(j) Building trust in IoT applications and systems with heterogeneous devices such as sensors, cameras, robots, and drones;
(k) Machine learning based methods to automate IoT security;
(l) Risk detection and mitigation in IoT applications;
(m) Policies and standards for Secure IoT in Industry 5.0
Keywords:
IoT; Cybersecurity; Machine Learning; Edge Computing; Cloud Computing; Blockchain; Networking
Editors
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Prasad Calyam
Professor Prasad Calyam, University of Missouri, USA Dr. Prasad Calyam is the Greg L. Gilliom Professor of Cybersecurity in the Department of Electrical Engineering and Computer Science at University of Missouri-Columbia, and Director of the Center for Cyber Education, Research and Infrastructure (Mizzou CERI). He received his B.S. degree in Electrical and Electronics Engineering from Bangalore University, India, in 1999, the M.S. and PhD degrees in Electrical and Computer Engineering from The Ohio State University, USA, in 2002 and 2007, respectively. He has total ~2900 Google Scholar Citations, H-index 30 and i-10 Index 82 in his account
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Jianli Pan
Associate Professor Jianli Pan, George Mason University, USA Dr. Jianli Pan is currently a tenured Associate Professor in the Department of Information Science and Technology at George Mason University. He received his B.S. degree in Electronics Engineering from Nanjing University of Posts and Telecommunications, China in 2001, the M.S. and Ph.D. degrees in Computer Engineering from Washington University in Saint Louis, USA, in 2010 and 2014, respectively. He has total ~3500 Google Scholar Citations, H-index 20 and i10-index 36 in his account.
