Aims and Scope:
A Cyber-Physical System (CPS) is a compound blend of computer and physical components, in which physical systems are controlled and monitored by computer-based algorithms. Examples of CPS are many, and include, among others, eHealth and medical monitoring, autonomous driving systems, robotic systems, industrial control systems, and smart grid. CPS blur the lines between personal and infrastructural spaces and this blurring is engineered into the Internet of Things (IoT). In IoT, a CPS has gained enormous success in a huge range of distributed integration environments. Interconnected sensing devices in CPS, sense data from the surrounding and sends them, through the network, to the interested nodes. With the help of IoT, personal CPS such as appliances, and phones with personal data, can be made available into public infrastructures to access services. This might result in leakage of personal data. Moreover, guaranteeing basic security concepts like confidentiality, integrity, and availability is a major challenge owing to the loose coupling of the vendors, the service providers, and the end subscribers in a CPS chain.

The design of an advanced CPS, integration of wireless sensor-actuator networks, belonging to independent stakeholders, is of utmost importance. Communication links, in such complex, heterogeneous systems, must meet stringent requirements concerning range, latency and throughput, while adhering to the constrained energy budget, and providing high levels of security. However, CPSs possess additional features that provide opportunities to adversaries that can cause havoc without corrupting or stealing the data. Simply varying the timing of key computations is enough to bring the system to a halt. Note that, for example, false data insertion to the control system may lead to destructive actions in plants. Cyberattacks might include manipulation of data, data theft, or denial of service. Cyber-based attack may cause damage to critical infrastructures that might significantly impact the economy, national security, and the safety and livelihood of many individual citizens.

Great strides have been made in CPSs to improve the computing mechanisms, communication and quality of service, by applying optimization algorithms. Currently, these efforts are integrated with the applications of Machine Learning and Artificial Intelligence. Moreover, owing to its deployment in harsh environmental conditions, the consensus problem in these CPSs is a major concern and heavily affects the performance of consensus-based applications, such as blockchain, event detection, etc. Also, large number of existing IoT ecosystems utilize centralized servers and, therefore, face the single point failure problem. In this context, blockchain-based techniques propose privacy-preserving models, capable of evading the single point failure problem and centralized trust issue.

The goal of the proposed book is to foster transformative, multidisciplinary and novel approaches that ensure the CPSs security, by taking into consideration unique security challenges present in the environment. This book will attract contributions in all aspects pertaining to this multidisciplinary paradigm. Contributing authors will be expected to investigate state-of-the-art achievements, applications and research issues in the field of, broadly understood, security paradigms for CPS. The resulting book will provide comprehensive reviews of cutting–edge state-of-the-art algorithms, technologies, and applications, providing new insights into a range of fundamentally important topics in security and privacy of CPSs.

Topics of interest include, but not limited to:
** Threat Identification and Modeling for Cyber-Physical Systems
-Foundations of data security and privacy in CPSs
-Vulnerability analysis and assessments for CPSs
-Attacks and vulnerabilities detection in WSNs
-Risk assessments and identification strategies
-Human aspects in CPSs security and privacy
-Attack pattern detection and prediction
-Internet of Things (IoT) security threats
-Industrial Control Systems threats
** Security and Privacy Defense Mechanisms for Cyber-Physical Systems
-CPS resilience
-Architecture and frameworks for securing CPSs
-Authentication and access control in CPSs
-Cryptography and wireless security
-Machine learning for fostering security in CPSs
-Blockchains and their applications
-Secure IoT Communication using blockchain
-Socio-technical defenses for security and privacy
-Smart IDS and IPS designed for different CPSs

Publication Schedule:
The tentative schedule of the book publication is as follows:
Deadline for chapter proposal submission: October 25, 2019
Author notification for chapter proposal: November 15, 2019
Deadline for full chapter submission: April 15, 2020
Author notification: June 01, 2020
Camera-ready submission: July 15, 2020
Planned publication schedule: Fourth quarter of 2020

Submission Procedure:
Authors are invited to submit original, high quality, unpublished results of A Cyber-Physical System (CPS) security and privacy. Submitted manuscripts should conform to the author’s guidelines of the Springer's chapter format mentioned in the right panel of the Studies in Systems, Decision and Control (SSDC) homepage. Submitted chapters should be prepared using Latex or Microsoft Word, and according to the Springer's chapter templates that can be downloaded from the aforementioned website.

Prospective authors need to electronically submit their contributions using EasyChair submission system. Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published as a volume in the prestigious "Studies in Systems, Decision and Control" series by Springer. More information about the "Studies in Systems, Decision and Control" series and the author instructions can be found in the.

Indexing:
For details on indexing of the series, please refer to SSDC website.

Volume Editors:
Dr.: Ali Ismail Awad
Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology
Luleå, Sweden
E-mail: ali.awad[at]ltu.se

Prof.: Steven Furnell
Faculty of Science and Engineering
University of Plymouth
Plymouth, United Kingdom
E-mail: S.Furnell[at]plymouth.ac.uk

Dr.: Marcin Paprzycki
Systems Research Institute
Polish Academy of Sciences
Warszawa, Poland
E-mail: paprzyck[at]ibspan.waw.pl

Prof.: Sudhir Kumar Sharma
Institute of Information Technology and Management
New Delhi, India
E-mail: sharmasudhir08[at]gmail.com