Welcome Message

Magdy Bayoumi; Adam Drobot

doi:10.1109/WF-IoT48130.2020.9221244

Welcome Message

Magdy Bayoumi
, Adam Drobot

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Editorial

Original language	English
Article number	9221244
Pages (from-to)	4-5
Number of pages	2
Journal	IEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings
DOIs	https://doi.org/10.1109/WF-IoT48130.2020.9221244
State	Published - Jun 2020

Bibliographical note

Funding Information:
Quanyan Zhu is an associate professor in the Department of Electrical and Computer Engineering at New York University. He received the B. Eng. in Honors Electrical Engineering with distinction from McGill University in 2006, the M.A.Sc. from University of Toronto in 2008, and the Ph.D. from the University of Illinois at Urbana Champaign (UIUC) in 2013. From 2013-2014, he was a postdoctoral research associate at the Department of Electrical Engineering, Princeton University. He is a recipient of many awards including NSF CAREER Award, NSERC Canada Graduate Scholarship (CGS), Mavis Future Faculty Fellowships, and NSERC Postdoctoral Fellowship (PDF). His current research interests include resilient and secure interdependent critical infrastructures, Internet of things, cyber-physical systems, machine learning, network optimization and control. Abstract: The widespread adoption of the IoT is becoming indispensable in all industry verticals such as in energy, transportation, communications, emergency services, public administration, defense, etc., due to their burgeoning scale and complexity. However, the cyber-physical integration is also opening doors for malicious cyber activity to sabotage their performance and/or operation. Furthermore, the IoT is composed of various different interconnected components that may be designed, manufactured, and operated by different entities located in different parts of the world. This adds an additional threat vector relating to the supply chain of the IoT ecosystem with possible attacks from backdoor and stealthy channels. Since the incapacitation or destruction of infrastructure systems can have a debilitating effect on national security, economy, public health, and safety, it is imperative to understand risks in IoT systems and take necessary steps to mitigate them. This tutorial is aimed at identifying and categorizing the different types of security risks in IoT systems starting from the network layer to the supply chain layer. It will also provide an overview of the potential strategies that can be employed to avoid the possibility of large scale coordinated attacks from network entities or supply chain actors. Finally, an overview of the possible research directions relating to the security and resilience of IoT systems will be provided.

Funding Information:
Ada Gavrilovska is an Associate Professor at the College of Computing and the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include conducting experimental systems research, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a BS degree in Computer Engineering from University Sts. Cyril and Methodius in Macedonia (’98), and a MS (’99) and PhD (’04) degrees in Computer Science from Georgia Tech.

Funding Information:
Junshan Zhang, Arizona State University Junshan Zhang received his Ph.D. degree from the School of ECE at Purdue University in 2000. He joined the School of ECEE at Arizona State University in August 2000, where he has been Fulton Chair Professor since 2015. His research interests fall in the general field of information networks and data science, including communication networks, Internet of Things (IoT), Fog Computing, social networks, smart grid. His current research focuses on fundamental problems in information networks and data science, including Fog Computing and its applications in IoT and 5G, IoT data privacy/security, optimization/control of mobile social networks, cognitive radio networks, stochastic modeling and control for smart grid. Prof. Zhang is a Fellow of the IEEE, and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Kenneth C. Sevcik Outstanding Student Paper Award of ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award of IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc in 2015, a Fog Computing startup company delivering boosted network connectivity and embedded artificial intelligence for IoT applications. Prof. Zhang was TPC co-chair for a number of major conferences in communication networks, including IEEE INFOCOM 2012 and ACM MOBIHOC 2015. He was the general chair for ACM/IEEE SEC 2017, WiOPT 2016, and IEEE Communication Theory Workshop 2007. He was a Distinguished Lecturer of the IEEE Communications Society. He was an Associate Editor for IEEE Transactions on Wireless Communications, an editor for the Computer Network journal, and an editor of IEEE Wireless Communication Magazine. He is currently serving as an editor-at-large for IEEE/ACM Transactions on Networking and an editor for IEEE Network Magazine. Talk Title: “Edge Intelligence in IoT Ecosystem: A Continual Edge Learning Perspective”

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems and Management
Statistics, Probability and Uncertainty
Computational Mechanics
Instrumentation

Access to Document

10.1109/WF-IoT48130.2020.9221244

Cite this

@article{9d3ea3d8ad99463db5086bb1eec22295,

title = "Welcome Message",

author = "Magdy Bayoumi and Adam Drobot",

note = "Funding Information: Quanyan Zhu is an associate professor in the Department of Electrical and Computer Engineering at New York University. He received the B. Eng. in Honors Electrical Engineering with distinction from McGill University in 2006, the M.A.Sc. from University of Toronto in 2008, and the Ph.D. from the University of Illinois at Urbana Champaign (UIUC) in 2013. From 2013-2014, he was a postdoctoral research associate at the Department of Electrical Engineering, Princeton University. He is a recipient of many awards including NSF CAREER Award, NSERC Canada Graduate Scholarship (CGS), Mavis Future Faculty Fellowships, and NSERC Postdoctoral Fellowship (PDF). His current research interests include resilient and secure interdependent critical infrastructures, Internet of things, cyber-physical systems, machine learning, network optimization and control. Abstract: The widespread adoption of the IoT is becoming indispensable in all industry verticals such as in energy, transportation, communications, emergency services, public administration, defense, etc., due to their burgeoning scale and complexity. However, the cyber-physical integration is also opening doors for malicious cyber activity to sabotage their performance and/or operation. Furthermore, the IoT is composed of various different interconnected components that may be designed, manufactured, and operated by different entities located in different parts of the world. This adds an additional threat vector relating to the supply chain of the IoT ecosystem with possible attacks from backdoor and stealthy channels. Since the incapacitation or destruction of infrastructure systems can have a debilitating effect on national security, economy, public health, and safety, it is imperative to understand risks in IoT systems and take necessary steps to mitigate them. This tutorial is aimed at identifying and categorizing the different types of security risks in IoT systems starting from the network layer to the supply chain layer. It will also provide an overview of the potential strategies that can be employed to avoid the possibility of large scale coordinated attacks from network entities or supply chain actors. Finally, an overview of the possible research directions relating to the security and resilience of IoT systems will be provided. Funding Information: Ada Gavrilovska is an Associate Professor at the College of Computing and the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include conducting experimental systems research, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a BS degree in Computer Engineering from University Sts. Cyril and Methodius in Macedonia ({\textquoteright}98), and a MS ({\textquoteright}99) and PhD ({\textquoteright}04) degrees in Computer Science from Georgia Tech. Funding Information: Junshan Zhang, Arizona State University Junshan Zhang received his Ph.D. degree from the School of ECE at Purdue University in 2000. He joined the School of ECEE at Arizona State University in August 2000, where he has been Fulton Chair Professor since 2015. His research interests fall in the general field of information networks and data science, including communication networks, Internet of Things (IoT), Fog Computing, social networks, smart grid. His current research focuses on fundamental problems in information networks and data science, including Fog Computing and its applications in IoT and 5G, IoT data privacy/security, optimization/control of mobile social networks, cognitive radio networks, stochastic modeling and control for smart grid. Prof. Zhang is a Fellow of the IEEE, and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Kenneth C. Sevcik Outstanding Student Paper Award of ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award of IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc in 2015, a Fog Computing startup company delivering boosted network connectivity and embedded artificial intelligence for IoT applications. Prof. Zhang was TPC co-chair for a number of major conferences in communication networks, including IEEE INFOCOM 2012 and ACM MOBIHOC 2015. He was the general chair for ACM/IEEE SEC 2017, WiOPT 2016, and IEEE Communication Theory Workshop 2007. He was a Distinguished Lecturer of the IEEE Communications Society. He was an Associate Editor for IEEE Transactions on Wireless Communications, an editor for the Computer Network journal, and an editor of IEEE Wireless Communication Magazine. He is currently serving as an editor-at-large for IEEE/ACM Transactions on Networking and an editor for IEEE Network Magazine. Talk Title: “Edge Intelligence in IoT Ecosystem: A Continual Edge Learning Perspective”",

year = "2020",

month = jun,

doi = "10.1109/WF-IoT48130.2020.9221244",

language = "English",

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N1 - Funding Information: Quanyan Zhu is an associate professor in the Department of Electrical and Computer Engineering at New York University. He received the B. Eng. in Honors Electrical Engineering with distinction from McGill University in 2006, the M.A.Sc. from University of Toronto in 2008, and the Ph.D. from the University of Illinois at Urbana Champaign (UIUC) in 2013. From 2013-2014, he was a postdoctoral research associate at the Department of Electrical Engineering, Princeton University. He is a recipient of many awards including NSF CAREER Award, NSERC Canada Graduate Scholarship (CGS), Mavis Future Faculty Fellowships, and NSERC Postdoctoral Fellowship (PDF). His current research interests include resilient and secure interdependent critical infrastructures, Internet of things, cyber-physical systems, machine learning, network optimization and control. Abstract: The widespread adoption of the IoT is becoming indispensable in all industry verticals such as in energy, transportation, communications, emergency services, public administration, defense, etc., due to their burgeoning scale and complexity. However, the cyber-physical integration is also opening doors for malicious cyber activity to sabotage their performance and/or operation. Furthermore, the IoT is composed of various different interconnected components that may be designed, manufactured, and operated by different entities located in different parts of the world. This adds an additional threat vector relating to the supply chain of the IoT ecosystem with possible attacks from backdoor and stealthy channels. Since the incapacitation or destruction of infrastructure systems can have a debilitating effect on national security, economy, public health, and safety, it is imperative to understand risks in IoT systems and take necessary steps to mitigate them. This tutorial is aimed at identifying and categorizing the different types of security risks in IoT systems starting from the network layer to the supply chain layer. It will also provide an overview of the potential strategies that can be employed to avoid the possibility of large scale coordinated attacks from network entities or supply chain actors. Finally, an overview of the possible research directions relating to the security and resilience of IoT systems will be provided. Funding Information: Ada Gavrilovska is an Associate Professor at the College of Computing and the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include conducting experimental systems research, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a BS degree in Computer Engineering from University Sts. Cyril and Methodius in Macedonia (’98), and a MS (’99) and PhD (’04) degrees in Computer Science from Georgia Tech. Funding Information: Junshan Zhang, Arizona State University Junshan Zhang received his Ph.D. degree from the School of ECE at Purdue University in 2000. He joined the School of ECEE at Arizona State University in August 2000, where he has been Fulton Chair Professor since 2015. His research interests fall in the general field of information networks and data science, including communication networks, Internet of Things (IoT), Fog Computing, social networks, smart grid. His current research focuses on fundamental problems in information networks and data science, including Fog Computing and its applications in IoT and 5G, IoT data privacy/security, optimization/control of mobile social networks, cognitive radio networks, stochastic modeling and control for smart grid. Prof. Zhang is a Fellow of the IEEE, and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Kenneth C. Sevcik Outstanding Student Paper Award of ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award of IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc in 2015, a Fog Computing startup company delivering boosted network connectivity and embedded artificial intelligence for IoT applications. Prof. Zhang was TPC co-chair for a number of major conferences in communication networks, including IEEE INFOCOM 2012 and ACM MOBIHOC 2015. He was the general chair for ACM/IEEE SEC 2017, WiOPT 2016, and IEEE Communication Theory Workshop 2007. He was a Distinguished Lecturer of the IEEE Communications Society. He was an Associate Editor for IEEE Transactions on Wireless Communications, an editor for the Computer Network journal, and an editor of IEEE Wireless Communication Magazine. He is currently serving as an editor-at-large for IEEE/ACM Transactions on Networking and an editor for IEEE Network Magazine. Talk Title: “Edge Intelligence in IoT Ecosystem: A Continual Edge Learning Perspective”

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