Overview — Malware detection using AI

INDJCST is a reputable, open-access venue for high-quality research across Computer Science and Technology. We actively solicit work on malware detection using AI, including but not limited to: machine learning classifiers, deep learning-based static and dynamic analysis, hybrid detection pipelines, explainable AI for security, adversarial robustness, and dataset curation best practices. Authors working on AI-driven malware detection will find INDJCST offers visibility, quick decisions, and UGC-CARE-aligned editorial standards.

Why Choose INDJCST?

• Rapid Peer Review

  Decisions delivered within 3 days while maintaining rigorous review standards. Rapid but fair assessment benefits time-sensitive research in fields like malware detection using AI.

• Open Access Policy

  Immediate open access ensures AI-security research reaches researchers, practitioners, and policy makers globally — increasing the impact of work on malware classification and prevention.

• Efficient Process

  Our editorial management system provides clear tracking and fast communication — useful for multi-stage experiments commonly found in malware detection using AI research.

• Plagiarism Protection & COPE Compliance

  All submissions undergo plagiarism checks and the journal follows COPE guidelines. We expect authors to provide curated datasets, informed consent when needed, and transparent model reporting.

• Impact Beyond Academia

  We publish research that informs security operations, vendor solutions, and public policy — particularly studies on detection rates, false positives, explainability, and deployment challenges for malware detection using AI.

Indexing & Abstracting

INDJCST is discoverable across leading platforms which helps authors reach broader audiences. Inclusion in these platforms improves citation potential and discoverability among the Best Computer Science journals.

Platforms: Google Scholar, Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions, PlumX.

Our Streamlined Publication Process

We combine speed and transparency while preserving editorial rigor. Typical timelines:

• Submit Online: 24/7 submission through our editorial management system
• Initial Response: Acknowledgement within 12 hours
• Expert Review: Peer review completed in ~2 days
• Decision Notification: Acceptance/rejection within 3 days
• Publication & Certificate: Instant PDF access and digital certificate

Article Processing Charges (APC)

Open-access publishing requires a nominal APC to cover hosting, DOIs (optional), and continuous publication. Fees are collected after manuscript acceptance.

Secure payment and official invoices are provided. Authors receive electronic certificates and DOI details (if chosen).

Advanced Editorial Management System

Authors have a personalized dashboard, real-time tracking, automated acceptance letters, copyright forms, and one-click downloads — designed to simplify submission and post-acceptance administration.

Malware Detection Using AI — Research Priorities

INDJCST welcomes rigorous empirical and theoretical contributions on malware detection using AI. Recommended topics include dataset curation and sharing, reproducible experiments, explainable and interpretable models, adversarial robustness, hybrid detection architectures, and deployment case studies. For authors searching for reputable venues among the Best Computer Science journals, INDJCST offers discoverability, UGC-CARE alignment, and rapid decisions to help accelerate the impact of your malware detection research.