Security and Trusted Computing for Industrial Internet of Things

Submission Deadline: 31 May 2018

IEEE Access invites manuscript submissions in the area of Security and Trusted Computing for Industrial Internet of Things.

Industrial IoT (IIoT) interconnects critical devices and sensors in essential infrastructure industries and scenarios with existing IoT applications. Generally, IIoT deployment allows organizations and users to gain invaluable insights into industrial processes and achieve high productivity gains while reducing cost. In the meantime, IIoT also exposes industrial systems and operational technology to cyber attacks, malware, hacktivism, and other security risks.

The objective of this Special Section in IEEE Access is to compile recent research efforts dedicated to strengthen the security foundations of IIoT systems. For example, topics include areas of industrial control systems, real-time access, trustworthiness of IIoT devices, secure service interoperability, resource constraints, data security, and information privacy, as well as the perspectives of system security policies and complete protection mechanisms, covering hardware, firmware, software, middleware and information assurance.

This Special Section solicits high quality and original work on recent advances in applied cryptography, security, and trust computing for IIoT systems.

The topics of interest include, but are not limited to:

  • Physical layer security
  • Cellular security
  • Data certification in IoT
  • Design and implementation of lightweight cryptographic primitives
  • Secure architectures and protocol design in IoT
  • Secure M2M communications
  • Reliable interactions with network services
  • Trusted IoT platform design
  • Data assurances in IoT
  • Vulnerability detections in IoT
  • Anonymous authentication
  • Secure data search and information retrial in IoT
  • Industrial applications with privacy and security protection
  • Threats and attached detection theories
  • Intrusion detection over critical infrastructure
  • Data reliability and trust
  • Cloud-based security for IoT
  • Terminal and edge computing security
  • Security management and orchestration of NFV and SDN elements
  • Trusted computing with NFV and SDN
  • Blockchain technologies for IoT
  • Software vulnerability testing, or reverse engineering
  • Risk assessment in Io industrial IoT and applications

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA

Guest Editors:

  1. Shancang Li, University of the West of England, UK
  2. Zhiyuan Tan, Edinburgh Napier University, UK
  3. Xiangjian He, University of Technology Sydney, Australia
  4. Jiankun Hu, University of New South Wales, Australia

 

Relevant IEEE Access Special Sections:

  1. Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies
  2. The Internet of Energy: Architectures, Cyber Security, and Applications
  3. Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  Shancang.li@uwe.ac.uk and Raymond.Choo@utsa.edu

Cyber-Threats and Countermeasures in the Healthcare Sector

Submission Deadline: 15 April 2018

IEEE Access invites manuscript submissions in the area of Cyber-Threats and Countermeasures in the Healthcare Sector.

According to the guidelines issued by the United States Department of Homeland Security, the healthcare sector is considered critical infrastructure. Healthcare and the public health sector caters to the most vulnerable population in our communities and has become one of the most targeted sectors by cyber criminals. There has been a constant increase in attacks on public health infrastructure. Patient history data has substantially higher monetary value compared with other types of personal or financial data. The increase in criminal activity is underpinned by the lack of awareness among users of technology and an astronomical growth in personal healthcare devices such as personal activity monitors, personalised medical devices (e.g., insulin pumps), digitisation of patient records from paper based records, and the increasing number of connected healthcare information systems to the Internet. In this Special Section in IEEE Access, we invite leaders in the healthcare security industry to enlighten readers of the cyber-threats and countermeasures to combat the growing security problems facing the healthcare sector.

The topics of interest include, but are not limited to:

  • Medical Data Protection and methods of secure data governance
  • Medical Infrastructure Protection
  • Applications of Digital Forensics in Healthcare sector
  • Regulation and standards for medical device cyber protection
  • Medical devices security and post market surveillance
  • Patient and personal data safety
  • Socio-technical cybersecurity issues of using personal monitoring devices
  • Risk assessment in the healthcare and public health sector
  • Novel cryptologic solutions for the medical data
  • Cyber Security issues in assistive technologies for patient recovery
  • Cyber security issues and countermeasures in curation of medical data

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Junaid Chaudhry, Edith Cowan University, Australia

Guest Editors:

  1. Metin Gurcan, Winston-Salem, North Carolina, USA
  2. Craig Valli, Edith Cowan University, Australia
  3. Trish Williams, Flinders University, Australia
  4. Nasir Rajpoot, University of Warwick, UK
  5. Uvais Qidwai, Qatar University, Qatar

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Body Area Networks
  3. Security Analytics and Intelligence for Cyber Physical Systems

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  Chaudhry@ieee.org

New Developments on Reliable Control and Filtering of Complex Nonlinear Systems

Submission Deadline: 31 January 2018

IEEE Access invites manuscript submissions in the area of New Developments on Reliable Control and Filtering of Complex Nonlinear Systems.

During the past three decades, the problems of reliable control and filtering have attracted considerable attention due to the growing demands for system safety, reliability, maintainability, and survivability. The main aim of reliable control and filtering is to design a suitable controller and filter with guaranteed stability and performance, respectively, not only when all the system components are in operation, but also in the situation when some component failures occur. To guarantee a higher reliability level and better control performance, reliable control systems depending on various control strategies have been concerned to achieve these critical requirements, i.e., the pole region assignment method, coprime factorization method, the algebraic Riccati equation (ARE)-based method, the Hamilton-Jacobi inequality (HJI)-based method, and linear matrix inequality (LMI)-based method, for example. Although many researchers have investigated the reliable control/state estimation problems for linear systems with different scenarios for many years, the topic of reliable control/filtering in complex nonlinear systems is still in the early stage of development and many critical issues remain to be further investigated.

The primary objective of this Special Section in IEEE Access is to provide up-to-date research on technical innovations and theoretical advancement in system analysis and reliable controller/filter design of complex nonlinear systems. Of particular interest, the articles in this Special Section are devoted to the modeling of complex nonlinear systems, the development of advanced communication technology used in nonlinear systems, distributed reliable control/state estimation, fault detection and isolation, fault-tolerant control of nonlinear systems, and their applications in industrial process systems. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, reliable control/filtering and real applications for nonlinear dynamical systems.

The topics of interest include, but are not limited to:

  • Mathematical modeling of complex nonlinear systems
  • The characterizations of the system failures/faults
  • Co-design of reliable control systems
  • Reliable control/state estimation schemes of nonlinear systems with guaranteed performance
  • Distributed reliable control/state estimation for networked nonlinear systems
  • Advanced fault detection and diagnosis and fault-tolerant control schemes for nonlinear systems
  • Resiliency, robustness and reliability analysis in practical engineering systems
  • Reliable control/state estimation of stochastic nonlinear systems and their industrial applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Jianbin Qiu, Harbin Institute of  Technology, China

Guest Editors:

  1.  Yanling Wei, Technical University of Berlin, Germany
  2. Ye-Hwa Chen, Georgia Institute of Technology, USA
  3. Hak-Keung Lam, King’s College London, UK
  4. Hamid Reza Karimi, Politecnico di Milano, Italy

 

Relevant IEEE Access Special Sections:

  1. Recent Developments in Consensus Problems for Complex Networked Systems
  2. Analysis and Synthesis of Large-scale Systems
  3. Learning Systems Based Control and Optimization of Complex Nonlinear Systems

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: jbqiu@hit.edu.cn

Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems

Submission Deadline: 4 December 2017

IEEE Access invites manuscript submissions in the area of Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems.

A cyber-physical system (CPS) is a system with intense interaction of entities in the physical world and the abstract information. Such systems commonly exist in both industrial manufacturing and people’s daily lives. As a central investigation topic in Industrial 4.0, the concept of CPS raises vast interests in the academic world as well as in the industrial realm. From the viewpoint of CPS, a bridge is built between the virtual and the real domains, where the strategies of analysis, monitoring, fault diagnosis, control and optimization should be further investigated in a higher systematic level. Typical examples of CPSs include smart grid, autonomous vehicles, process control systems, and industrial robotics systems. The traditional techniques are mainly focused on either the physical object or the abstract data model individually. A simultaneous consideration of both domains is likely to reveal the properties.

Presently, conventional methods of fault diagnosis and control require analytical system models, which are established based on either the physical constraints (first principles) or identification techniques. The feasibility and complexity of these approaches vary significantly among specific applications and the monitoring performance relies heavily on the model precision. On the other hand, data-driven approaches provide a potential solution to large-scale complex systems with better reliability. The motivation of the big data-driven practical solutions originates from the rapid development of digitalized sensors, storage techniques and other information infrastructure, which provide colossal but redundant system information. Consequently, the greatest problem is to design universally feasible solutions to ascertain CPS behavior and to perform fault diagnosis and control design based on the characteristics extracted from the databases and the real-time measurements.

This Special Section in IEEE Access aims to provide a platform for the researchers and participants from both the academic community and industrial sectors to report their recent research and application progress in the field of data-driven CPS monitoring, fault diagnosis and control design.

The topics of interest include, but are not limited to:

  • New data-driven CPS model description and modelling techniques
  • Robust data-driven optimization algorithms for CPSs
  • Unified framework for CPS formulation and analysis
  • Advanced approaches for CPS monitoring
  • Data-Driven CPS fault detection, isolation and diagnosis methods
  • CPS-oriented fault-tolerant control
  • CPS-oriented robust control
  • Data-driven artificial intelligence approaches applied in CPS
  • Challenges and techniques for potential industrial and domestic applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Shen Yin, Harbin Institute of Technology, China

Guest Editors:

  1. Okyay Kaynak, Bogazici University , Turkey
  2. Hamid Reza Karimi, Politecnico di Milano, Italy

 

Relevant IEEE Access Special Sections:

  1. Industry 4.0
  2. Big Data Analytics in Internet of Things and Cyber-Physical Systems
  3. Healthcare Big Data

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: shen.yin@hit.edu.cn

Human-Centered Smart Systems and Technologies

Submission Deadline: 30 April 2018

IEEE Access invites manuscript submissions in the area of Human-Centered Smart Systems and Technologies.

In the past several years, we have seen dramatic advancement in many sectors enabled by the use of computing and networking technologies. This development has resulted in many emerging, highly multi-disciplinary research areas typically termed as “smart“ technologies, including smart-healthcare, smart-home, smart-grid, as well as smart vehicles and intelligent transportation systems. These new technologies are transforming our society and have enormous economic impact.

It is well known that smart technologies are typically made possible by network-enabled sensors/actuators and intelligent computational algorithms. We have seen extensive research on the sensing and algorithms aspects of smart technologies, which has resulted in the development of various exciting new smart systems that improve efficiency, reduce cost, and/or make our life much more convenient. However, the research on the human aspects of such systems is lacking. Most smart systems are designed to be used directly by humans (by non-engineers in particular), which we refer to as human-centered smart systems. For some systems, such as smart healthcare systems, the sensing/actuating target is human itself, which makes the problem even more interesting and challenging.

The research on human aspects is important for several reasons: (1) Smart systems must offer an intuitive human-computer interface. A non-intuitive human-computer interface would not only reduce the acceptance of smart systems, but increase the likelihood of misuse as well, which may have disastrous consequences (e.g., a patient could die if a medical system is misused). (2) Human beings are different, hence, human-centered smart systems must have the capability to adapt to different users. The one-size-fit-all approach will not work for human-centered systems. (3) Some smart systems require built-in human-in-the-loop control, such as air-traffic controls and autonomous driving systems, as well as some medical and healthcare systems. It is important to understand when to get a human operator involved and in what form. For medical systems in particular, alarm fatigue is a still a serious problem and an open research issue. (4) Some human-centered systems are intended to alter human behaviors (e.g., those are designed to make humans more active or more compliant to best practices in using body mechanics). We still lack understanding on how to make long-term changes to human behaviors using these smart systems.

The topics of interest include, but are not limited to:

  • Design and implementation of various human-centered smart systems
  • Human-computer interface and interaction in human-centered smart systems
  • Human-in-the-loop control
  • Alert and alarm generation algorithms for human-centered smart systems
  • Alert and alarm delivery mechanisms for human-centered smart systems
  • Personalized feedback and intervention for human-centered smart systems
  • Personalized healthcare and precision medicine
  • Machine learning algorithms for personalized interface and decision making in human-centered systems
  • The impact of social networks for human-centered smart systems
  • Human subject or clinical trials for human-centered smart systems
  • User behaviors in human-centered smart systems

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Wenbing Zhao, Cleveland State University, USA

Guest Editors:

  1. Yonghong Peng, University of Sunderland, UK
  2. Kun Hua, Lawrence Technological University, USA
  3. Peng Shi, University of Science and Technology, China
  4. Hongqiao Wang, Xi’an Research Institute of Hi-Tech, China

 

Relevant IEEE Access Special Sections:

  1. Intelligent Systems for the Internet of Things
  2. Trends and Advances for Ambient Intelligence with Internet of Things Systems
  3. Advances of Multisensory Services and Technologies for Healthcare in Smart Cities

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: specialsections@ieee.org

Analysis and Synthesis of Time-delay Systems

Submission Deadline: 18 September 2017

IEEE Access invites manuscript submissions in the area of Analysis and Synthesis of Time-delay Systems.

Time-delay, which often represents a source of instability and oscillation. is unavoidable in many practical systems such as networked control systems, communication networks, manufacturing and biology. Moreover, the appearance of delay can have a stabilizing effect and delayed feedback control can be used to stabilize some unstable systems. Due to its theoretical and practical importance, increasing attention has been focused on the analysis and synthesis of time-delay systems and various new approaches have been proposed to reduce their conservatism. The aim of reducing the conservatism of delay-dependent stability criteria is to establish new stability criteria to provide a maximal allowable delay as large as possible. Among different techniques, the reduced conservatism is mainly obtained by constructing an improved Lyapunov functional and employing a tighter bound on some weighted cross products. A great number of effective methods have been provided such as delay partitioning method, convex combination method and Wirtinger-based inequality. However, how to further reduce the conservatism and how to apply the obtained theoretical results to practical systems are challenging and hot topics.

Many practical engineering systems can be modeled by time-delay systems. Various analysis and synthesis problems of time-delay systems are challenging and fascinating tasks in modern systems and control theory as well as in academic and industrial applications. The purpose of this Special Section in IEEE Access is to highlight recent significant developments on various analysis and synthesis of time-delay systems and new approaches in mathematical modeling real-world time-delay systems.

The topics of interest include, but are not limited to:

  • Stability and stabilization criteria
  • State estimation and filtering
  • Reachable set estimation and synthesis
  • Sampled-data control and self/event-triggered control
  • Reliability/dissipativity and corresponding feedback control
  • Fault diagnosis, fault isolation and fault tolerant control
  • Applications in different mechanical systems, communication networks and industries

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor:  Zhiguang Feng, Victoria University, Australia

Guest Editors:

  1. Zhengguang Wu, Zhejiang University, China
  2. Baoyong Zhang, Nanjing University of Science and Technology, China
  3. Kun Liu, Beijing Institute of Technology, China
  4. MyeongJin Park, Kyung Hee University, South Korea
  5. Le Van Hien Hanoi National University of Education, Vietnam
  6. Christophe Fiter, Université de Lille 1 / CRIStAL , France
  7. Xiangyu Meng, Boston University, USA

 

Relevant IEEE Access Special Sections:

  1. Analysis and Synthesis of Large-scale Systems
  2. Recent Developments in Consensus Problems for Complex Networked Systems
  3. Resource Management in Vehicular Ad-Hoc Networks: Energy Management, Communication Protocol and Future Applications

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: specialsections@ieee.org

Advanced modeling and control of complex mechatronic systems with nonlinearity and uncertainty

Submission Deadline: 28 February 2018

IEEE Access invites manuscript submissions in the area of Advanced modeling and control of complex mechatronic systems with nonlinearity and uncertainty.

Various complex mechatronic systems are widely applied in industries such as robotics, micro-electro-mechanical systems (MEMS), motor or hydraulic driven equipment. And the control technology is the key issue for mechatronic systems to achieve the good performance. However, for those complex mechatronic systems, mechanism nonlinearities and uncertainties (e.g., internal uncertainties, external unstructured environments, and undesired disturbances) are much more obvious and lead to the significant negative effects. Thus, the effective modeling, identification and dynamic analysis are necessary for complex mechatronic systems with nonlinearity and uncertainty. And the model-based advanced control designs such as adaptive control, robust control, sliding-mode control, backstepping control, H-infinite control, etc. are the corresponding solutions to improve the system performance. Contributions from industry applications are particularly encouraged, and both theoretical and experimental works are welcome.

The main objective of this Special Section in IEEE Access is to report the recent theoretical and technological achievements on advanced modeling and control of various complex mechatronic systems with nonlinearity and uncertainty. Potential topics include, but are not limited to:

  • Modeling and identification of mechatronic (e.g., robotics, MEMS, motor actuation, hydraulic actuation) systems
  • Nonlinear dynamic analysis of complex mechatronic systems
  • Model-based advanced control of complex mechatronic systems, such as adaptive control, robust control, sliding-mode control, backstepping control, H-infinite control, etc.
  • Nonlinear observer design and observer-based control for complex mechatronic systems
  • Precision motion control of mechatronic systems with nonlinearity and uncertainty
  • Robust fault diagnosis, fault isolation and fault tolerant control in complex mechatronic systems
  • Active vibration control in complex mechatronic systems

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Zheng Chen, Zhejiang University, China

Guest Editors:

  1. Ya-Jun Pan, Dalhousie University, Canada
  2. Weichao Sun, Harbin Institute of Technology, China
  3. Tao Wang, National University of Singapore, Singapore
  4. Cong Wang, New Jersey Institute of Technology, USA

 

Relevant IEEE Access Special Sections:

  1. Learning Systems Based Control and Optimization of Complex Nonlinear Systems
  2. Advanced Control and Health Management for Aircraft and its Propulsion System
  3. Trends and Advances for Ambient Intelligence with Internet of Things Systems

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: specialsections@ieee.org

Curbing Crowdturfing in Online Social Networks

Submission Deadline: 31 May 2017

IEEE Access invites manuscript submissions in the area of Curbing Crowdturfing in Online Social Networks.

Online social media is reshaping the way businesses manage their sales and marketing assets. Unlike traditional media, such as TV, radio or newspapers, social media is characterized by user contributions, sharing, decentralization, and being free. In addition to gaining phenomenal popularity as the Web becomes accessible via all sorts of devices, they also have a strong influence on brands, making social media a force that many organizations can no longer ignore.

Public relations companies have hired people to post product comments on different online communities and social networks, without even consuming the services or products. While online paid posters can be used as an efficient e-marketing strategy, they can also act maliciously by spreading gossip or negative information about competitors. More specifically, a group of paid posters could operate with well-coordinated attacks, and generate a desired result of positive or negative opinions, to attract attention or trigger curiosity. This is known as “crowdturfing” or “cyber-gossips”, which can mislead online users, and put the individuals or a business in a compromising position or at serious risk.

The goal of this Special Section in IEEE Access is to solicit the latest theoretical and research application output for curbing crowdturfing. We also welcome survey or tutorial style articles with clear application background. This Special Section will focus on the following topics, and but are not limited to:

(1) Content Based Methods: Opinion Modeling and Spread Analysis

  • Agent-based data retrieval
  • Complex sequence analysis
  • Content and Opinion analysis
  • Temporal-sequential pattern mining
  • Impact-oriented pattern mining
  • Event/activity/action filtering
  • Multi-granularity data visualization

(2) Behavior Based Methods: Behavior Modeling and Mining

  • Behavior structure extraction
  • Behavior life cycles
  • Sequential/Parallel/Distributed behavior modeling
  • Behavior dynamics
  • Cyber Criminal behavior analysis
  • Social networking behavior analysis

(3) Social Relation Based Methods: Cyber Analysis

  • Group and group behavior detection, tracking and recognition
  • Collusive crime/piracy detection
  • Graph-based behavior/social modeling
  • Dynamic/hidden group presentation
  • Collaborative social recommendation
  • Group interaction, collaboration, representation and profiling
  • Cyber-Gossip Spread Models

(4) Applications and Open Case Study

  • Poster spam detection
  • Blog spam detection
  • Click spam detection
  • Identity authentication
  • Botnets prevention
  • Datasets for cyber-gossips detection

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Dr. Gang Li, Deakin University, Australia

Guest Editors:
1. Prof. Jianlong Tan, Chinese Academy of Sciences, China
2. Prof. Lynn Batten, Deakin University, Australia
3. Prof. Sohail S. Chaudhry, Villanova University, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)