CfP: Recent Trends in Risk Management and Critical Infrastructure Protection: A Future Perspective
Critical Infrastructure (CI) is the basis on which everyday essential social and economic functions rely, and there is the potential for disruption or failure of any aspect of critical infrastructure to have a significant effect on our lives. Critical Infrastructure Protection (CIP) technology has been adopted by many organizations to protect their infrastructure from cyber-attacks and malicious objects. In order to protect their sensitive information and resources, critical infrastructure security solutions are implemented across multiple industries, including transport, BFSI, government, IT, energy and utility sectors. The dependency of one industry on another has been increased by an increased reliance on information technology, telecommunications and increased popularity of Internet of Things (IoT). In the public and private sectors, researchers need to explore risk management, the evolution of laws and regulations, and the policy issues facing the various critical infrastructure sectors. Working together and exchanging good practises, strategies and experiences will support and improve national and global critical infrastructure today and in the future.
Today’s research in CIP has a vital need in advance understanding of emerging risk crossing the cyber-physical domain. Reducing the vulnerabilities of CI and increasing their resilience is one of the major objectives in the Risk management and Critical Infrastructure Protection. Therefore, CIP-related cyber security policies and initiatives need to be extended and resources to resolve the complexities of dependent national infrastructure need to be employed, including process-based system dynamics models, mathematical network optimization models, current infrastructure physics-based models, and high-fidelity agent-based systems simulations to protect critical infrastructure. A relatively recent, futuristic and dynamic security and critical infrastructure endeavour is the underlying discipline of systematic qualitative and quantitative safety risk analysis, the potential course of which is still the subject of in-depth research and debate. The key objective of the research paper should focus on supporting CIP policy priorities by providing expert knowledge and a scientific basis for a better understanding of criticalities and dependencies at all levels.
Several key problems are arising as we look towards the future of maintaining our vital infrastructures. This special issue discusses those challenges that continue to question and influence our approaches to the security of critical infrastructure, risk management and resilience efforts thus opens a forum to present the recent research work related to critical infrastructure implementing cyber security controls, hardware based embedded identity, and physical security control and Challenges in Critical Infrastructure Protection.
Topic areas include, but are not limited to, the following:
- Critical Infrastructure Protection by connecting with Big Data
- Critical infrastructure protection Market: Issues and Challenges
- The Future of Critical Infrastructure Protection in Healthcare sector: Risk, Resilience, and Policy
- Applying Big Data Analytics for protecting Critical Information Infrastructure from cyber attacks
- Approaches to Risk Mitigation: Public Health sector, Transportation Systems Sector and Emergency Services Sector
- Current Critical Infrastructure Protection in federal, state, local, and tribal structures
- Methods to integrate human, physical and cyber elements of critical infrastructure risk in Government Sectors
- Techniques for Cyberthreat Detection using Big Data Analysis in Critical Infrastructures
- Laws and Regulations: Technical assistance for computer-related criminal activities.
- Improving Critical Infrastructure protection for man-made attacks and natural calamities
- Infrastructure and Key Asset Protection Implementation Framework for Establishing Critical Infrastructure Resilience Goals
- Threat of cascading failure across critical infrastructures in interlinked industries/Public/Private Sectors
- Modelling critical infrastructure dependencies with Information Processing in Cloud Environment
Manuscript Submission Deadline Date: 15 June 2021
Authors Notification Date: 20 August 2021
Revised Papers Due Date: 25 November 2021
Final notification Date: 05 February 2022
Lead Guest Editor: Dr. Tu Nguyen, Assistant Professor, Department of Computer Science, Purdue University Fort Wayne, Fort Wayne, USA
Dr. TU NGUYEN is currently an Assistant Professor in the Department of Computer Science, Purdue University Fort Wayne. He earned the Ph.D. degree in electronic engineering from the National Kaohsiung University of Science and Technology (formerly, National Kaohsiung University of Applied Sciences) in 2016. He was a Postdoctoral Associate in the Department of Computer Science & Engineering, University of Minnesota - Twin Cities in 2017. Prior to joining the University of Minnesota, he joined the Missouri University of Science and Technology as a Postdoctoral Researcher in the Intelligent Systems Center in 2016. His research interests include design and analysis of algorithms, network science, cyber-physical systems, and cybersecurity. He currently serves as an Associate Editor for IEEE Access (2019- ) and EURASIP Journal on Wireless Communications and Networking (2017- ). He is also on the Editorial Board of the Cybersecurity journal, Internet Technology Letters (2017- ), International Journal of Vehicle Information and Communication Systems (2017- ), International Journal of Intelligent Systems Design and Computing (2017- ), and IET Wireless Sensor Systems (2017- ), and has served as a TPC Chair for the NICS 2019, SoftCOM (25th), and ICCASA 2017, a Publicity Chair for iCAST 2017 and Big Data Security 2017, and a Track Chair for ACT 2017. He has also served as a technical program committee member for over 100 premium conferences in the areas of network and communication such as INFOCOM, Globecom, ICC, and RFID. He is a Senior Member of the IEEE.
First Co-Guest Editor: Dr. Nam P. Nguyen, Associate Professor, Department of Computer & Information Sciences, Towson University, Maryland, United States
Google Scholar: https://scholar.google.com/citations?user=aJcBWkgAAAAJ&hl=en
Dr. Nam Nguyen is currently an Associate Professor in the Information and Computer Sciences Department, Towson University, USA. Dr. Nguyen received his PhD in Computer Engineering from the University of Florida, USA. His research interests include Social network analysis & Big Data mining, Cyber Security and Mobile-aware computing. Dr. Nguyen currently serves in the Editorial board of the Computational Social Networks journal, the Mathematical Foundations of Computing journal, and Frontiers in Big Data journal. Dr. Nguyen has been serving as organization and TPC member for several conferences including IEEE Infocom, ACM Hypertext, IJCAI, etc. Dr. Nguyen has also been a panelist serving several National Science Foundation panels
Second Co- Guest Editor: Dr.Claudio Savaglio, Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Italy
Google Scholar: https://scholar.google.it/citations?user=VR5qJdIAAAAJ&hl=en
Dr. CLAUDIO SAVAGLIO is a Researcher at ICAR-CNR Institute, Italy. He received the Ph.D. degree in ICT from the University of Calabria (Unical), Italy, in 2018. Dr. Savaglio was a Visiting Researcher at the University of Texas at Dallas (TX, USA) in 2013, at the New Jersey Institute of Technology (NJ, USA) in 2016, and at the Universitat Politècnica de València (Spain) in 2017. He was also Temporary Research Fellow at the University of Calabria (Unical), where he was Teacher Assistant and Adjunct Professor (2018-2020). He currently serves as Guest Editor for the Journal of Computers & Electrical Engineering (CAEE), Sensors and IET journal. He has also served as a technical program committee member for many premium conferences in the areas of IoT, computer communications and networks such as GIOTS, ICC, and ICCCN. He has published more than 40 prestigious conference and journal papers. His research interests include the Internet of Things (IoT), network simulation, edge computing, and agent-oriented development methodologies.
Third Co- Guest Editor: Dr. Ying Zhang, School of Information and Communication Engineering, University of Electronic Science and Technology of China, China
Google Scholar: https://scholar.google.com.sg/citations?user=MwnsRL8AAAAJ&hl=en
Dr. YIN ZHANG is a Full Professor of the School of Information and Communication Engineering, University of Electronic Science and Technology of China. He is a Distinguished Scholar of Hubei Province, China. He is Co-chair of IEEE Computer Society Big Data STC. He serves as editor or associate editor for IEEE Network, Information Fusion, IEEE Access, etc. He is a Guest Editor for IEEE Transactions on Network Science and Engineering, Future Generation Computer Systems, IEEE IoT Journal, ACM/Springer Mobile Networks & Applications, Sensors, Neural Computing and Applications, Multimedia Tools and Applications, Wireless Communications and Mobile Computing, Electronic Markets, Journal of Medical Systems, New Review of Hypermedia and Multimedia, etc. He also served as Track Chair of IEEE CSCN 2017, TPC Co-Chair of CloudComp 2015 and TRIDENTCOM 2017, etc. He has published more than 100 prestigious conference and journal papers, including 14 ESI Highly Cited Papers. He is an IEEE Senior Member since 2016. He got the Systems Journal Best Paper Award of the IEEE Systems Council in 2018. He was named in Clarivate Analytics Highly Cited Researchers List in 2019. His research interests include mobile computing, edge intelligence, cognitive wireless communications, etc.
Fourth Co- Guest Editor: Dr. Braulio Dumba, IBM Thomas J. Watson Research Center, Yorktown Heights, USA
Dr. Braulio Dumba is a Research Scientist at IBM T.J Watson Research Center in Yorktown Heights, NY under the Hybrid Cloud organization. His current research is in Multi-Cloud and Hybrid Cloud Services with focus on security and compliance for hybrid cloud applications and resources. Braulio earned the International Baccalaureate from the United World College of the Adriatic (UWCad) in 2007. He has also earned a BSc in Physics and Computer Science with a minor in Mathematics from Luther College where he received the distinct “John G. and Mildred Breiland Endowed Scholarship Fund” and was selected to be a member of “Pi Mu Epsilon, National Honorary Mathematics Society". He earned a Ph.D. in Computer Science from University of Minnesota, Twin Cities, with a concentration in Computer Networks in 2018. His research interests lie in the area of network science, cloud computing, computer networks and distributed systems