With the changing industrial and economic landscape based on the Internet, the individuals and enterprises are becoming more used to storing and processing of personal and organizational data on the cloud platforms. The cloud and IoT infrastructures are becoming more capable to serve the emerging needs of users. The client and the IoT devices are acquiring data from the environment and sending them to the cloud to process. But this transmission of data faces challenges like privacy, integrity, and authentication. While the data owner stores or processes the data on the cloud, it needs to be encrypted; the most important challenge is processing the data on the cloud without decrypting, which can be assured by homomorphic cryptosystems. Further, the devices on the network are heterogeneous and embedded in the case of IoT devices. Most IoT devices have limited resources like memory, energy, and processing power. Hence, they need lightweight and ultra-lightweight encryption algorithms, suitable for hardware implementation.
This special section plans to address the above security challenges by inviting original research, tools, techniques, algorithms, and designs for meeting security challenges in cloud and IoT infrastructure.
Suggested topics include:
Homomorphic encryption techniques for cloud
Homomorphic encryption techniques for Surveillance
Lightweight encryption algorithms for IoT network
Ultra-lightweight block cipher
Low-latency block cipher
Embedded and FPGA implemented security solutions for IoT network
Hardware designed new cryptosystem for cloud and IoT devices
Security vulnerabilities in cyber physical systems
Lightweight authentication for cyber physical systems
Adversarial neural cryptography for cloud and IoT
Blockchain in cyber physical systems
Secure solutions for healthcare, smart city, smart grid, etc.
New papers, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are substantially extended (more than 50%) and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.
Before submission, authors should carefully read the Guide for Authors available at https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors
Authors should submit their papers through the journal’s web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by “VSI-spiot” under the “Issues” tab.
For additional questions, contact the Main Guest Editor.
Submission of manuscript: 30th June 2021
First notification: 31st August 2021
Submission of revised manuscript: 15th October 2021
Notification of the re-review: 15th December 2021
Final paper due: 15th Feb. 2022
Publication: June 2022
Dr. Bhaskar Mondal, (Main Guest Editor)
Assistant Professor, Dept. of Computer Science and Engineering,
National Institute of Technology Patna,
Email: [email protected]
Prof. Yu-Chen Hu
Distinguished Professor, Dept. of Computer Science and Information Management,
Providence University, Taiwan, R.O.C.
Email: [email protected]
Bhaskar Mondal serves as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna. He has nearly 10 years of experience in academics and research during which he had worked at Xavier University Bhubaneswar (XUB), Orisha, India. BIT Sindri, Dhanbad, and National Institute of Technology Jamshedpur. He was conferred with PhD from the National Institute of Technology Jamshedpur, India in 2018 followed by M. Tech. (CSE) from Kalyani Government Engineering. He has published more than 30 research papers in quality journals and international conferences. He is member of IEEE and ACM, Life member of Computer Society of India (CSI) and Cryptology Research society of India (CRSI). His research interests include lightweight cryptography and machine learning. He has served several international conferences as session chair, advisory committee member and technical committee member. He has also reviewed articles in journals include Artificial Intelligence Review, Scientific Reports, Security and Communication Networks, Innovations in Systems and Software Engineering, ICT Express, IEEE Access, etc.
Yu-Chen Hu received his PhD. degree in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan. Currently, Dr. Hu is a distinguished professor at Providence University, Taiwan. He is a senior member of IEEE. He is also a member of Computer Vision, Graphics, and Image Processing (CVGIP), Chinese Cryptology and Information Security Association (CCISA), Computer Science and Information Management (CSIM) and Phi Tau Phi Society of the Republic of China. He joints the editorial boards of several international journals. His research interests include digital forensics, information hiding, image and signal processing, data compression, information security, computer network, artificial intelligence.