IOT-ML 2020: Security Issues in Internet of Things: Blockchain and Machine Learning to the rescue |
Website | https://sites.google.com/view/crcpresscfc/home |
Submission link | https://easychair.org/conferences/?conf=iotml2020 |
Abstract registration deadline | May 15, 2020 |
Submission deadline | June 30, 2020 |
Scope of Book:
The recent advancements in the field of Information and Communication Technology (ICT) enabled the promotion of conventional computer-aided industry to smart industry that is powered by data driven decision making. In this paradigm shift, IoT plays a vital role to connect the cyberspace of computing systems and physical industrial environment. IoT supports huge range of industrial applications such as logistics, food industry and manufacturing utilities. IoT aims to improve production throughput, operation efficiency and mitigate the machine downtime. Decentralization of IoT systems, heterogeneity of IoT data, diversity of systems and IoT devices and network complexity are the characteristic features of IoT. These results in numerous challenges including resource constraints of IoT devices, poor interoperability, heterogeneity of IoT system and several privacy and security vulnerabilities.
The emergence of blockchain brings forth the opportunities to overcome these challenges. A blockchain is a distributed ledger spanning over the entire distributed system that can enable a transaction to occur and be validated using a decentralized consensus without relying on any trusted third party in a mutually-distrusted distributed system. Blockchain mitigates the bottleneck problem at the central agency and saves cost by achieving decentralized validation of transactions. The transactions saved within the blockchain is immutable and the employed cryptographic mechanisms guarantee the integrity of the data blocks within a blockchain. Therefore, blockchain serves as a perfect complement to IoT with the improved scalability, reliability, interoperability, security and privacy. Furthermore, it is important for the IoT devices to learn and adapt to various threats dynamically. In this regard, machine learning (ML) techniques are employed to address both intelligence and reconfigurability to various IoT devices.
The Internet of Things (IoT) 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. In addition to connecting devices, IoT also connects people and other entities thereby making every IoT component vulnerable to huge range of attacks.
Blockchain, a tamper resistant and distributed ledger that maintains consistent data records at different locations has the capability to address the IoT security concerns. Owing to the fault tolerance capabilities, decentralized architecture and cryptographic security benefits such as authentication, data integrity, pseudonymous identities, security analysts and researchers consider blockchain to resolve privacy and security issues of IoT. Apart from providing data security solution to IoT, blockchain also encounters numerous inherent IoT challenges such as limited computing power, massive number of devices, error prone radio links and low communication bandwidth. Blockchain is also used in identity management, voting, healthcare, government records and supply chain. Blockchain finds application in various economy sectors to build trust and has been applied successfully to digital cryptocurrencies. Hence blockchain technology is today’s world is becoming an emerging and disruptive future technology providing numerous opportunities to various industries. Further, 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 need immediate attention. In this regard, machine learning (ML) techniques are employed to address both intelligence and reconfigurability to various IoT devices.
Submission Guidelines
Authors are invited to submit original, high quality, unpublished results of "Security Issues in Internet of Things: Blockchain and Machine Learning to the rescue".
Submitted manuscripts should conform to the author’s guidelines of the CRC Press chapter format of the Green Engineering and Technology: Concepts and Applications, CRC Press, Taylor & Francis, USA (Link). Submitted chapters should be prepared using Latex or Microsoft Word, and according to the CRC Press 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 " Green Engineering and Technology: Concepts and Applications, CRC Press, Taylor & Francis, USA ” series and the author instructions can be found in the Link.
Publication Schedule:
The tentative schedule of the book publication is as follows:
Deadline for chapter proposal submission: May 15, 2020
Author notification for chapter proposal: May 31, 2020
Deadline for full chapter submission: June 15, 2020
Author notification: June 30, 2020
Camera-ready submission: July 15, 2020
List of Topics
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For this new book volume, we welcome chapters on following topics:
1. Overview of IoT and Ubiquitous Computing
2. IoT: Fundamentals and challenges
3. Security and Privacy challenges of IoT and Ubiquitous Computing
4. Various privacy mechanisms for IoT and Ubiquitous Computing
5. Trust management in IoT and Ubiquitous Computing
6. Green IoT
7. AI for green cities and IoT systems
8. Security and privacy for fog and edge computing
9. Blockchain: Concept and Emergence
10. Blockchain and Internet of Things
11. Big Data and blockchain technology
12. Blockchain based IoT security solutions
13. Use of Smart contract and Distributed ledger in Automated Applications
14. Blockchain-based Application (Health, finance transport etc)
15. Blockchain based AI systems
16. Blockchain towards green engineering
17. Machine Learning in WSNs: Algorithms, Strategies, and Applications
18. Machine Learning approaches for improving IoT security
19. ML based trust computational model for IoT services
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Eight Major Features of Book:
- To provide insights of the IoT generated security issues.
- Presents state-of-the-art of ubiquitous computing, future IoT and blockchain technology.
- To realize the technology of blockchain management.
- To develop understanding of the role of blockchain in terms of IoT security issues
- To develop understanding of the role of machine learning technology in terms of IoT security issues
- Includes the applications, concepts and theory related to blockchains adoption in IoT.
- Focus on various aspects of IoT and blockchain systems like trust management, identity management, security threats, access control and privacy.
- Highlight the inherent blockchain possibilities for various economy sectors and the additional value that blockchain can provide for the future of these sectors.
- Develops understanding of the existing security solutions, their limitations and future directions.
Publication
IOT-ML 2020 proceedings will be published in ...
by Book Series: Green Engineering and Technology: Concepts and Applications, CRC Press, Taylor & Francis, USA
Contact
- Prof. (Dr.) Sudhir Kumar Sharma
Institute of Information Technology and Management,
D-29, Institutional Area, Janakpuri, New Delhi, India
Email: sharmasudhir08@gmail.com
- Bharat Bhusan
Assistant Professor, Department of Computer Science,
HMRITM, India
Email: bharat_bhushan1989@yahoo.com
- Prof. (Dr.) Parma Nand Astya
Dean, School of Engineering Technology
Sharda University Greater Noida
Email: parmaastya@gmail.com
- Prof. Dr. Bhuvan Unhelkar
University of South Florida Sarasota-Manatee (USFSM)
Email: bhuvan.unhelkar@gmail.com