International Journal of Digital Crime and Forensics

Scope & Guideline

Elevating Standards in Cybercrime Research

Introduction

Welcome to your portal for understanding International Journal of Digital Crime and Forensics, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1941-6210
PublisherIGI GLOBAL
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2009 to 2024
AbbreviationINT J DIGIT CRIME FO / Int. J. Digit. Crime Forensics
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240

Aims and Scopes

The International Journal of Digital Crime and Forensics focuses on the intersection of digital technology, crime, and forensic science. Its primary aim is to disseminate research that enhances the understanding and application of forensic techniques in the context of digital environments, while addressing challenges posed by emerging technologies.
  1. Digital Forensics Techniques:
    The journal emphasizes innovative methodologies in digital forensics, including the development of new tools and techniques for evidence collection, analysis, and interpretation in various digital environments.
  2. Cybersecurity and Information Assurance:
    Research focusing on the protection of digital information and systems from cyber threats is a core area, highlighting strategies for securing data and maintaining privacy in digital communications.
  3. Machine Learning and Artificial Intelligence Applications:
    The application of machine learning and AI in enhancing forensic processes and cybersecurity measures is prominently featured, showcasing how these technologies can improve detection, analysis, and prediction of criminal behavior.
  4. Emerging Technologies in Forensics:
    The journal explores the implications of new technologies, such as IoT, UAVs, and edge computing, on forensic practices, addressing how these tools can be leveraged for criminal investigations.
  5. Behavioral Analysis and Threat Detection:
    Research related to understanding user behavior and identifying abnormal activities in digital environments is a significant focus, contributing to the development of proactive security measures.
The journal has identified several emerging themes that reflect the evolving landscape of digital crime and forensics. These trends highlight areas of growing interest and importance for researchers and practitioners alike.
  1. Integration of Machine Learning in Forensics:
    There is a significant increase in research that applies machine learning algorithms to forensic analysis, enhancing the ability to detect anomalies and automate evidence analysis.
  2. Edge Computing in Forensic Applications:
    Recent publications have explored the role of edge computing in digital forensics, particularly in relation to mobile and vehicular networks, reflecting a trend towards decentralized data processing.
  3. Cyber-Physical Systems and Forensics:
    The intersection of cyber-physical systems with forensic practices is gaining traction, as researchers investigate how to secure and analyze data from interconnected devices.
  4. Video and Image Forensics:
    An increasing number of studies focus on video and image forensics, specifically in the areas of deepfake detection and tampering analysis, highlighting the importance of visual data integrity.
  5. Privacy-Preserving Forensic Techniques:
    Emerging themes include the development of privacy-preserving frameworks that ensure the security and confidentiality of sensitive information during forensic investigations.

Declining or Waning

As the field of digital crime and forensics evolves, certain themes have shown a decline in prominence within the journal's publications. This section highlights these waning topics and their decreasing relevance in current research.
  1. Traditional Forensic Techniques:
    There is a noticeable reduction in publications focusing on traditional forensic methods, as the field shifts towards more technologically advanced approaches that incorporate AI and machine learning.
  2. General Cybersecurity Practices:
    While cybersecurity remains a priority, the journal has seen a decrease in papers discussing generic cybersecurity measures, with a shift towards specialized applications and innovative solutions.
  3. Static Analysis Methods:
    Research centered on static analysis techniques for security and forensics has declined, likely due to the rising interest in dynamic and machine learning-based analysis methods that offer more robust solutions.
  4. Basic Data Recovery Techniques:
    The focus on conventional data recovery techniques has diminished as researchers increasingly explore more complex and advanced retrieval methods that integrate new technologies.

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