Access Control Models and Architectures For IoT and Cyber Physical Systems

lt;b>Maanak Gupta is an Assistant Professor in the Department of Computer Science at Tennessee Tech University, USA. He received his Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyber space focused in studying foundational aspects of access control and their application in technologies including cyber physical systems, cloud computing, IoT and Big data. Dr Gupta has worked in developing novel security mechanisms, models and architectures for next generation smart cars, smart cities, intelligent transportation systems and smart farming. He is also interested in machine learning based malware analysis and AI assisted cyber security solutions. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. He was awarded the 2019 computer science outstanding doctoral dissertation research award from UT San Antonio. His research has been funded by the US National Science Foundation (NSF), NASA, US Department of Defense (DoD) and private industry.

Smriti Bhatt is an Assistant Professor of Computer Science in the Department of Computing and Cyber Security at Texas A&M University-San Antonio. She has received her Ph.D. in Computer Science from the University of Texas at San Antonio and did her doctoral research at the Institute for Cyber Security (ICS) and Center for Security and Privacy Enhanced Cloud Computing (C-SPECC). Dr. Bhatt's research expertise is in the field of Cyber Security, mainly focused on Access Control and Communication Control models, and Security and Privacy in Cloud Computing and the Internet of Things (IoT). Her current research projects focus on developing secure access control and communication control models for Cloud-Enabled IoT architecture applicable to various IoT domains, such as Smart Home, Smart Health, and Wearable IoT. Her research work also expands into deep learning for IoT security with applications in access control and anomaly detection. She has been actively publishing her work on well-regarded conferences and journals in the field, and also continually serves as an expert reviewer for journals (e.g., IEEE Transactions on Cloud, IEEE Access, and Transactions on Dependable and Secure Computing). She have also served as technical program committee member and co-chair for several conferences and workshops. Furthermore, Dr. Bhatt is enthusiastically involved with various national and local organizations including AnitaB.org, Women in CyberSecurity (WiCyS), and San Antonio Women in IT (SAWIT) for enhancing diversity and inclusion in STEM.

Asma Alshehri is an Assistant Professor in Computer Science at Shaqra University, Shaqra, Saudi Arabia. She received M.S. and Ph.D. in Computer Science from the University of Texas at San Antonio (UTSA). It was her honor to be the first Arabian women to work and graduate from the Institute for Cyber Security (ICS), UTSA. Her primary area of research includes security and privacy in cyber space focused in studying foundational aspects of access control and their application in technologies including cloud computing, IoT and Big Data. She has worked in developing novel security mechanisms, models, and architectures for IoT smart cities, cars, and homes. She is also interested in malware analysis and AI assisted cyber security solutions. She is currently the Vice Dean of IT and E-learning Deanship at Shaqra University, Head of E-learning Unit at University Agency for Educational Affair, and Chair of Computer Science Department at Collage of Science and Humanities at Dhurma. She holds a B.S. degree in Computer Science from Princess Nourah Bint Abdulrahman Universi

1 Introduction: Requirements for Access Control in IoT and CPS.- 1.1 Introduction and Motivation.- 1.1.1 IoT Architectures.- 1.1.2 IoT and CPS Security Issues.- 1.2 Access Control Models.- 1.2.1 State of the Art.- 1.2.2 Access Control Models for Smart Connected Systems.- 1.3 Publish-Subscribe Paradigm.- 1.4 IoT and CPS Integration with Cloud and Edge Computing.- 1.5 Current Trends.- 1.6 Access Control Challenges and Research Needs.- 1.7 Summary.- References.- 2 Access Control Oriented Architectures Supporting IoT and CPS.- 2.1 Introduction.- 2.1.1 Chapter Organization.- 2.2 Primitives for Cloud and Edge Assisted Io.- 2.2.1 Taxonomy of Smart Devices.- 2.2.2 Cloud and Edge Hybrid Architectures.- 2.3 Access Control Oriented Architectures.- 2.3.1 Edge Gateway Supported ACO Architecture.- 2.3.2 Extended ACO Architecture with Clustered Objects.- 2.4 Illustrative IoT and CPS using Proposed Architectures.- 2.4.1 Remote Patient Monitoring (RPM).- 2.4.2 Intelligent Transportation System (ITS).- 2.5 Summary.- References.- 3 Authorization Frameworks for Smart and Connected Ecosystems 9.- 3.1 Introduction.- 3.1.1 Chapter Organization.- 3.2 Access Control Framework for Cloud Enabled Wearable IoT.- 3.2.1 Access Control Framework.- 3.2.2 RPM Wearable IoT Use Case.- 3.3 Framework for Smart Connected Cars Ecosystem.- 3.3.1 Access Control Framework.- 3.3.2 Identified Access Control Approaches.- 3.3.3 Single and Multi-Cloud Cyber Physical Systems.- 3.4 Objectives of Proposed Frameworks.- 3.5 Summary.- References.- 4 Access Control Models in Cloud IoT Services.- 4.1 Introduction.- 4.1.1 Chapter Organization 4.- 4.2 AWS Access Control Model5.- 4.3 Access Control in AWS Internet of Things: AWS-IoTAC.- 4.3.1 Motivation 8.- 4.3.2 Formal Model and Definitions.- 4.3.3 AWS-IoTAC and ACO Architecture.- 4.3.4 Use Case.- 4.4 Google Cloud Platform Access Control Model.- 4.4.1 GCP Access Control (GCPAC) Model.- 4.4.2 Access Control in GCP Internet of Things.-4.4.3 E-Health Use Case.- 4.5 Limitations and Fine Grained Enhancements.- 4.5.1 Proposed Enhancements in AWS IoTAC.- 4.5.2 Proposed Enhancements in GCP IoTAC.- 4.6 Summary.- References.- 5 Secure Virtual Objects Communication.- 5.1 Introduction.- 5.1.1 Chapter Organization.- 5.2 Operational Access Control for VO Communication.- 5.2.1 ACL and Capability Based (ACL-Cap) Operational Model.- 5.2.2 ABAC Operational Model.- 5.2.3 RBAC Limitations.- 5.3 Administrative Access Control for VO Communication.- 5.3.1 Administrative ACL Model.- 5.3.2 Administrative RBAC Model.- 5.3.3 Administrative ABAC Model.- 5.4 AWS-IoT-ACMVO Model for AWS IoT Shadows Communication.- 5.5 Issues in enforcing ACO-IoT-ACMsVO within AWS-IoT-ACMVO.- 5.6 A Use Case: Sensing Speeding Cars.- 5.6.1 Sensing the Speed of a Single Car.- 5.6.2 Sensing the Speed of Multiple Cars.- 5.6.3 Performance Evaluation and Discussion.- 5.7 Summary.- References.- 6 Attribute Based Access Control for Intelligent Transportation5.- 6.1 Introduction.- 6.1.1 Chapter Organization.- 6.2 Authorization Requirements in ITS.- 6.2.1 Multi-Layer and User Privacy Preferences.- 6.2.2 Relevance of Groups.- 6.3 Dynamic Groups and ABAC Model.- 6.3.1 CV-ABACG Model Overview.- 6.3.2 Components Definitions.- 6.4 AWS Enforcement.- 6.4.1 Use Case Overview.- 6.4.2 Prototype Implementation.- 6.4.3 Performance Evaluation.- 6.5 Summary.- References.- 7 Fine Grained Communication Control for IoT and CPS.- 7.1 Introduction.- 7.1.1 Motivation.- 7.1.2 Chapter Organization.- 7.2 Background and Related Work.- 7.2.1 CE-IoT Architectures.- 7.2.2 Related Work.- 7.2.3 Scope and Assumptions.- 7.3 Access Control and Communication Control Requirements.- 7.3.1 Use Case Scenarios.- 7.4 Attribute-Based Communication Control.- 7.4.1 Attribute-Based Access Control Model.- 7.4.2 Attribute-Based Communication Control Model.- 7.5 Attribute-Based Access and Communication Control Framework.- 7.5.1 ABAC-CC Framework.- 7.6 Summary.- References.