Impact Score 5.45
Artificial intelligence (AI) plays an emerging role in emerging fields of neural computing as well as cybersecurity using data analysis tools, that act upon data coming from millions of cyber incidents (related to theft, stealing, frauds cases etc.) and using AI, they identify and prevent potential risks and threats. These can be in variety of forms: towards harmful to society or any individual or any organization etc. With the increase of Internet based devices (Internet of Things technology) and automation tools, need for AI based neural computing and cybersecurity has raised to peak. Data security needs to be considered in any existing or emerging technology like Bluetooth based devices, Internet of Everything technology, Osmotic computing technology and many more. In addition to these, cybersecurity enhances measures of authentication and authorization of devices as well as individuals, helps in secure transmission of data, safely file sharing and many more. This generates intelligence between neurons that too by securing them from outer world.
At present, many advancements and enhancements are carried out to enhance neural computing considering the security measures. Many different solutions have been proposed to address neural network infrastructure related security concerns. However, they are not properly designed to address the emerging challenges like scalability issues, secure migration issues, issues arising during resource allocation and scheduling, authentication and authorization issues, minimization of energy efficiency and reduction of computational costs. Therefore, data security is the key factor especially for emerging technologies in the world of “smart” devices.
Cyber Crime research is a field of computing that deals with data and the way perpetrators exploit the wealth of data available to create new ways of uncovering patterns that will help them infiltrate security in computer systems. Neural Computing and the use of Deep Learning Algorithms allows for the exploration of data to uncover ways that data can be linked and create new knowledge. In the case of Cybersecurity this can be linked to uncovering the way cyber criminals attempt to bypass security, study their traces and build systems that understand early attempts to build breaches in security systems. The purpose of this special issue is to solicit original research work that proposes novel ways in the way Artificial Intelligence and more specifically Neural Computing are employed to support, enhance, and evolve Cybersecurity as a discipline.
We solicit original contributions on novel threats, information tools, defenses and security, applications and tools in AI-based neural computing and cybersecurity. We also seek contributions motivated by taking real-world security and deployment problems of neural computing and theoretical works that have clear intention for practical applications in AI, neural computing and cybersecurity. To meet the requirements of securing the data in the complex and changeable technological world, the innovation of artificial intelligence, neural computing and cyber security protection schemes should be efficient and safe way-out to pursue with. This special issue seeks to bring researchers, scholars and participators in artificial intelligence, neural computing and cyber security area to address challenges and present effective solutions in growing technological world. Topics include but are not limited to:
Sumarga Kumar Sah Tyagi (Lead Guest Editor), Zhongyuan University of Technology, Zhengzhou, China, [email protected] Pimenidis, University of the West of England, Bristol, UK, [email protected] Jain, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India, [email protected] Serrano, Technology Director, JLL, London, UK, [email protected]
Deadline for submissions: June 20th, 2021Deadline for review: September 15th, 2021Decision notification: October 10th, 2021Deadline for revised version by authors: January 30th 2022Deadline for 2nd review: March 2nd, 2022Final manuscript due: April 30th, 2022
Peer Review Process:
All the papers will go through peer review, and will be reviewed by at least three reviewers. A thorough check will be completed, and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time.
The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works).
Paper submissions for the special issue should strictly follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).
Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx.Authors should select “TC: LSNC&OUAI” during the submission step ‘Additional Information’.