[CLOSED] Integration of AI in 5G Network Cybersecurity
: Privacy and Security Concerns



  The adaptation of the 5th generation cellular (5G) network will probably generate risks in itself. Even some operators claim that devices support 5G when they do not. Still we have to handle lot of issues before the carriers expand 5G coverage enough that most people can use it securely. The hype around the extremely fast speeds these devices will provide has effectively masked important privacy and security concerns raised by the new technology. Rather the consequence of the increased speed and slower latency offered by 5G, most of them are not exactly the fault of the new protocol itself. For instance, the dramatic expansion of the bandwidth that makes 5G possible creates new paths of attack. The dynamic spectrum sharing feature of 5G allows multiple streams of information to share bandwidth in slices. Each slice has its own degree of cyber risk. When the software allows network functions to move dynamically, cyber protection must also be dynamic rather than relying on a uniform solution of the lowest common denominator.
  The integration of Artificial Intelligence (AI) techniques into networks is one way the industry can address these issues and challenges. Network intelligence and automation are essential to the evolution of 5G, IoT and Industry 4.0. Incorporating AI algorithms into 5G networks can improve automation and scalability, enabling efficient orchestration and dynamic provisioning of the network slice. AI can collect real-time information for multidimensional analysis and build a panoramic data map of each slice of network to provide dynamic cyber protection.



  Journal of Information Processing Systems is soliciting high quality manuscripts presenting original contributions for its special issue. This special issue aims to provide a forum that brings together researchers from academia, practicing engineers from industry, standardization bodies, and government to meet and exchange ideas on Integration of AI in 5G Network Cybersecurity: Privacy and Security Concerns. Submissions possibly be consisted of applied and theoretical research in topics including, but not limited to

  •    - AI enabled network slicing in 5G networks
  •    - Dynamic cyber protection in 5G networks
  •    - Attacks & Threats Detection in 5G networks
  •    - Privacy preservation in 5G networks slicing
  •    - Security design consideration in heterogeneous access
  •    - Increased bandwidth concerns for IoT devices in 5G networks
  •    - AI and SDN/NFV based solutions for cyber-attacks in 5G networks
  •    - Big data security and analytics in 5G networks
  •    - Edge computing security in 5G networks
  •    - Blockchain based solutions in 5G networks



  Papers must be submitted to the Manuscript Link service - https://www.manuscriptlink.com/journals/jips.
 It is important that authors should select "JIPS Survey / Special Issue" and "Integration of AI in 5G Network Cybersecurity: Privacy and Security Concerns" when they reach the "Basic Information" step in the submission process.
 Before submitting papers, you need to read the JIPS submission guideline.



Pradip Kumar Sharma, Ph.D.
Department of Multimedia Engineering
Dongguk University, South Korea

Weizhi Meng, Ph.D.
Department of Applied Mathematics and Computer Science
Technical University of Denmark (DTU), Denmark

Mohammad Shojafarr, Ph.D.
Ryerson University, Canada


 Important Dates

  • - Manuscript submission due: Jan. 30, 2020
  • - Author notification: Apr. 30, 2020 (tentative)
  • - Expected publication: 3rd or 4th quarter, 2020 (tentative)