Call for Chapters

Aims and Scope:

The Internet of Things (IoT), the next Internet-related revolution, is an emerging technology that integrates technologies and aspects coming from varied approaches. Pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol and embedded devices are integrated together to form a system where the digital and real worlds collaborate. Huge number of interconnected devices and enormous data opens new opportunities to create services capable of bringing tangible benefits to the economy, environment, society and individual citizens. Owing to the massiveness of IoT and inadequate data security, the impact of security breaches may turn out to be humongous leading to severe impacts. Traditional security approaches against the most prominent attacks are insufficient. Therefore, enabling the IoT devices to learn and adapt to various threats dynamically and addressing them proactively is the need of the hour. In this regard, machine learning (ML) techniques are employed that provides both intelligence and reconfigurability to various IoT devices.

Industrial processes are integrated with full-scale process automation with the emergence of new digital industrial technology thereby reshaping the future of industrial revolution. In today’s era, Industrial IoT have severe impact in changing the industrial digital eco system by completely redefining the way machines, enterprises and stakeholders connect and interact with each other. Connected and smart factories that relies on the machineries transmitting real-time data enables industrial data analytics for improving productivity and operational efficiency. Moreover, IoT finds huge range of applications in the healthcare sector. Smart healthcare can reduce risk, cost and time of IoT deployments in healthcare thereby enhancing the patient care and efficiency. IoT-based healthcare systems can be used to realize personalized access to effective clinical decision making and vital medical data for every individual with uninterrupted and self-paced sensing. However, this IoT-based healthcare systems face innumerable challenges with respect to accuracy and cost of medical sensors, huge volume of generated data, assorted wearable devices, non-standard IoT system architectures and interoperability issues. These challenges and requirements bring forth huge range of opportunities to examine and discover new intelligent medical systems, algorithms, applications and new conceptual theories in IoT-based healthcare domain.

Further, integration of IoT with Big data and cloud computing brings forth numerous advantages. It is a novel paradigm where IoT, Big-data and Cloud are merged together to solve several real-time problems owing to the existence of inter-dependency between these mutually exclusive technologies. In these applications, the cloud computing presents a common workplace for big data and IoT where big data is the data analytics technology and IoT is the source of data. However, this integration brings forth new challenges such as data analytics, integration and storage. To this end, the book will aim to highlight these challenges and provide an integrating framework that integrates these technologies. Another important issue linked to IoT that the researchers/scientists needs to focus on is the privacy and security requirements of the sensor generated data from misuse, theft or unfortunate losses. To this end, Blockchain has received enormous attention both from industry and academia. Therefore, the book also intends to embrace the role of blockchain in all the possible facets of IoT security.

Wider selection of topics for this book is leading towards thorough understanding of reader for IoT basics, security and privacy issues associated with IoT, IoT adoptions in Industry and healthcare sectors, integration of IoT with Big data and cloud, IoT security through Blockchain and 5G internet of things. This book investigates the security and privacy issues associated with various IoT systems along with exploring various ML based IoT security solutions. The book also aims to address how IoT improves the proficiency of healthcare sector and addresses the challenges associated therein. The emerging and promising state-of-the-art of ubiquitous computing, future IoT applications and blockchain technology motivated us to propose this book. Further, the book aims to showcase the basics of both IoT and Blockchain for beginners as well as their integration and challenge discussions for existing practitioner.

Table of Contents:

The readers of this book will be benefited about the evolution, usage, challenges and the proposed countermeasures associated with the adoption of IoT for wider applications. The book aims to develop understanding of the IoT generated data security issues and enable the readers to realize the existing security facilities, their limitations and future possibilities. The proposed book focusses to publish original research outcomes towards industries and healthcare using various technological developments. Therefore, the readers will gain insights to taxonomy of challenges, issues and research directions in IoT based smart factory and healthcare applications. The book aims to showcase the basics of both IoT and Blockchain for beginners as well as their integration and challenge discussions for existing practitioner. The readers will gain exposure to a novel paradigm where IoT, Big-data and Cloud are merged together to solve several real-time problems owing to the existence of inter-dependency between these mutually exclusive technologies. Further, the book aims to bring together state-of-the-art innovations, research activities (both in academia and industry), and the corresponding standardization impacts of 5G so as to make the readers aware of the requirements and promising technical options to enrich and boost research activities in the area of 5G Internet of things.

1) IoT: Fundamentals and Challenges: Foundation of IoT; Characteristics and Requirements in IoT, Domain Specific IoT Architectures; Theoretical Framework and Conceptual model of IoT; IoT Applications; Ubiquitous Interactive Spaces; Web of Things; Green IoT.

2) Security and Privacy Issues of IoT: Key Vulnerabilities in IoT systems — A holistic View; Foundation of Threats in IoT environment; Attacks in IoT (Physical/MAC/Network); Algorithms, Protocol & Design for IoT-based Security; Taxonomy of Security Solutions in IoT; Context-awareness and Security in IoT; Cryptography; Intrusion Detection Schemes; Classical IoT Security Approaches; Standardization Activities in IoT Security.

3) Integration of IoT and Sensor Networks: Case studies in WSNs and IoT; Lightweight Security Protocols for IoT and Sensor Networks; MAC Layer Issues in Sensor Networks and IoT; Machine Learning for Intrusion and Malware Detection in WSNs and IoT devices.

4) ML based IoT Security Schemes: Machine Learning for Intrusion and Malware Detection; Machine Learning Approaches for Improving IoT Security; Threats and Vulnerabilities Identification through Machine Learning methods; Authentication and Authorization processes with ML; ML based Framework for Mobile IoT Security.

5) Case Study on Future Generation IoT: Software Defined Networking (SDN); Industry standards for IoT-security; Supply Chain Management; Water Monitoring System; Wearable Technologies; Pollution Controlling; Smart Waste Management System; Vehicle Control Systems; Smart Manufacturing; Intelligent Systems.

6) Industrial Internet of Things (IIoT) and Smart Factory: Industrial IoT (IIoT) 4.0; Industry Digitization and Automation; Open Digital Eco Systems for IIoT; Smart Factory Applications; Autonomous Manufacturing; Asset Tracking and Smart Logistics; Industry Safety and Management.

7) IoT for Healthcare Applications: Emerging Wireless Technologies for IoT-based Healthcare Systems; Architectures and Models for IoT-based Healthcare Applications; Emerging Trends in IoT-based Healthcare Systems; Security, Privacy Issues and Challenges in IoT-based Healthcare Systems; IoT-based Healthcare Systems for remote health monitoring; Emerging e-Health IoT Applications.

8) Blockchain Applications of IoT: Fundamentals and Challenges of IoT; Applications and Limitations of IoT; Blockchain basics; Blockchain Platforms; Smart Contracts; IoT and Blockchain Integration; Blockchain-based IoT Applications (Health, Finance, Transport etc); Competitive Technologies of Blockchain; Blockchain and E-government; Blockchain and Financial Services; Industrial role of IoT and Blockchain.

9) Convergence of IoT with Big Data and Cloud Computing: Big-Data Data Analytics in Cloud Platform; Cloud Based IoT and its Applications; Big-Data Analytics and its Applications in IoT; Emerging Trends and Techniques in Cloud-based Data Analytics; Other Issues related to Integration of IoT, Cloud and Big-Data Technologies.

10) 5G Internet of Things: Futuristic Scenarios and 5G Compliance; Developments toward 5G Technologies; Requirements in 5G enabled IoT; Information Theoretic Principles for 5G; Key Enabling Technologies in 5G-IoT.

Publication Schedule:

The schedule of the book publication is as follows:

Deadline for chapter proposal submission: November 25, 2019

Author notification for chapter proposal: December 05, 2019

Deadline for full chapter submission: January 10, 2020

Author notification (First Round): January 25, 2020

Author notification (Final Round): February 5, 2020

Camera-ready submission: February 10, 2020

Submission Procedure:

Authors are invited to submit original, high quality, unpublished results of Security and privacy issues in IoT devices and sensor networks: Machine learning to the rescue.

Submitted manuscripts should conform to the author’s guidelines of the CRC Press chapter format of the Computational Intelligence in Engineering Problem Solving, CRC Press , Taylor & Francis Group (Link) Submitted chapters should be prepared using Latex or Microsoft Word, and according to the Elsevier's chapter templates that can be downloaded from the aforementioned website.

Prospective authors need to electronically submit their contributions using EasyChair submission system (EasyChair Submission).

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 "Computational Intelligence in Engineering Problem Solving", by CRC Press, Taylor & Francis Group. More information about the "Computational Intelligence in Engineering Problem Solving” series and the author instructions can be found in the Link.

Book Editors:

• Prof. (Dr.) Sudhir Kumar Sharma

Institute of Information Technology and Management,

D-29, Institutional Area, Janakpuri, New Delhi, India

Email: sharmasudhir08@gmail.com

• Bharat Bhushan, Ph.Dc,

Dept. of CSE, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India,

Email: bharat_bhushan1989@yahoo.com

• Prof. (Dr.) Narayan C. Debnath, Ph.D., D.Sc.,

School of Computing and Information Technology, Eastern International University, Vietnam, Email: NdebnathC@gmail.com