Guest Editor(s)
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- Assoc. Prof. Khaled Rabieh
- Department of Computer Science, Metropolitan State University, Saint Paul, MN, USA.
Website | E-mail
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- Prof. Jinbo Xiong
- College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou, China.
Website | E-mail
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- Prof. Yu Zhang
- School of Cyberspace Security, Guangdong Polytechnic Normal University, Guangzhou, China.
Website | E-mail
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- Assoc. Prof. Qingzhong Liu
- Department of Computer Science, Sam Houston State University, Huntsville, TX, USA.
Website | E-mail
Special Issue Introduction
Recently, the smart city has been introduced as a promising concept due to its potential benefits, including low-carbon economy, intelligent traffic management, ubiquitous information sharing, etc. There are many key components such as Smart Grid (SG), smart vehicles, smart houses, and mobile social networks in the smart city. The Internet of things (IoT) describes the network of things embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet. The Internet of Vehicle (IoV) is an integrated part of Vehicle Ad hoc Network (VANET) connecting many heterogeneous vehicle sensors. Wireless communications will play an essential role enabling the smart city to evolve. Although it is still early days for 5G wireless technology, top industry players are already busy working on its successor. Apple, AT&T, Facebook, and QUALCOMM, etc. are crafting 6G industry standards, from research and development to deployment. While 5G promises download speeds many times faster than current 4G LTE networks and significantly lower latency times, 6G is set to raise the bar even higher, with speeds estimated at 100x faster than 5G and upped bandwidth to keep consumers more connected than ever before.
On the other side, Artificial Intelligence and Deep Learning techniques have been used extensively on the data generated by IoT and IoV sensors in a smart city.
The security and privacy issues of smart city communications need to be well studied. An increasing number of studies focus on the security, privacy, and risks within smart cities, highlighting the threats relating to information security and challenges for smart city infrastructure in the management and processing of personal data, with the aid of artificial intelligence and deep learning techniques.
This Special Issue plans to address the security and privacy challenges in IoT/IoV devices, 5G/6G network with smart cities infrastructure by inviting original research, tools, techniques, algorithms, and designs for meeting security and privacy challenges, involving the big data, artificial intelligence, and deep learning techniques.
Submission Deadline
30 Sep 2022
Journal of Surveillance, Security and Safety
