Special issue on AI-Enhanced Security Framework for Blockchain Enterprise Systems Using Deep Learning

  • 2024-12-11
Special issue on AI-Enhanced Security Framework for Blockchain Enterprise Systems Using Deep Learning

Guest Editors:   

 

Dr. Uzair Aslam Bhatti

School of Information and Communication Engineering, Hainan University, Haikou 570100, China
 

Dr. Yonis Gulzar

Department of Management Information Systems, King Faisal University, P.O. Box 380, Al-Ahsa, 31982, Saudi Arabia
 

Dr. Sibghat Ullah Bazai

Department of Computer Engineering, Balochistan University of Information Technology, Engineering, and Management Sciences (BUITEMS), Quetta, Pakistan

The IJMS (Interdisciplinary Journal of Management Studies) is a peer-reviewed open access journal published by the University of Tehran, Iran since the year 2007. The journal publishes scientific papers reporting original research and/or applications in the field of Management Sciences.

In today's world, businesses have been transformed and functional processes are managed in different ways. Transformative tools and technologies have added different features to businesses. Through these tools, businesses have found facilities that they did not have in the past. Tools like the Internet of Things have helped collect and refine big data. This big data with high production speed, high volume, and great variety along with analytical tools such as artificial intelligence and transparent data storage systems such as blockchain and emphasizing learning methods have helped businesses to perform analysis. Blockchain technology has become a cornerstone for digital transformation in business enterprises, offering benefits such as transparency, decentralized operations, and secure data transactions. However, the complexity of blockchain systems and their applications exposes them to new, evolving cybersecurity threats. Combining deep learning techniques with blockchain technology provides a robust framework for enhancing security, enabling real-time threat detection, anomaly identification, and predictive vulnerability assessment.

This proposed special issue will explore innovative approaches, frameworks, and applications of deep learning-driven security solutions tailored for blockchain-based enterprise systems. By bringing together interdisciplinary research and case studies, this issue aims to advance the understanding of integrating AI with block-chain for enhanced security and operational resilience. Following that, the objective of this special issue of IJMS is to present recent and considerable advances on the following (but not limited to) issues:

Deep Learning Models for Blockchain Security

    1. Anomaly detection in blockchain transactions
    2. Predictive modeling for threat identification
    3. Fraud detection using GANs and other advanced architectures

Smart Contract Security

    1. Vulnerability detection using deep learning
    2. Real-time monitoring of smart contract execution
    3. Automated validation and testing of contract logic

Threat Mitigation in Blockchain Networks

    1. Defense mechanisms against Sybil attacks, DDoS, and 51% attacks
    2. Intrusion detection systems leveraging AI
    3. Adaptive learning systems for evolving threats

Integration of AI and Blockchain

    1. Frameworks for embedding AI-driven models in blockchain nodes
    2. APIs for interaction between AI models and blockchain systems
    3. Performance and scalability analysis of AI-enhanced blockchain systems

Case Studies and Applications

      1. Enterprise implementations of AI-secured blockchain systems
      2. Comparative analysis of traditional vs. AI-driven blockchain security measures
  • Ethical and regulatory implications of AI in blockchain security

Manuscript Preparation and Submission 

All Manuscripts submitting in the SI should conform to the standard editorial and publication policies as mentioned in the journal. The authors should submit the manuscript via online system at https://ijms.ut.ac.ir/. Please select the article type “SI: AIDL-2025” when submitting the manuscript.  

 

Important Dates

  • April 15, 2025: Paper submission deadline
  • June 30, 2025: First Notification of Initial review
  • August 15, 2025: Revisions Deadline
  • September 30, 2025: Notification of Acceptance

 

Remarks for Prospective Authors:

  • Early submission is strongly recommended due to the fact that the review process will start as soon as we receive the paper. The online format of any accepted paper will be provided sooner than it’s print.
  • Manuscripts submitted to the SI should not have been already published nor be currently under consideration for publication elsewhere.

 

Reviewing 

Manuscripts submitted to the SI will be peer-reviewed and will necessarily need to show quality by following ways:

  • For research topics: originality of topic and developed mathematical models, quality of results, considerable contributions to the ancillary field.
  • For application topics: initiatives, novel and untouched applications, managerial implications, environmental and social impacts.