Journal in Computer Virology

Aims & Scope

The Journal in Computer Virology is an independent scientific and technical journal dedicated to viral and antiviral computer technologies, and encompassing both theoretical and experimental aspects of the topic.

The range of topics is broad, including mathematical aspects and theoretical fundamentals of computer virology; algorithmics and computer virology; computer immunology and biological models for computers; reverse engineering; viral technologies; antiviral technologies; cryptologic techniques and tools in computer virology; steganographic techniques and tools in computer virology; applications in computer virology; virology and IDS.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Graph-based malware detection using dynamic analysis

  Citation: 221

  Authors: Blake, Daniel, Joshua, Curtis, Terran

• Dynamic Analysis of Malicious Code

  Citation: 199

  Authors: Ulrich, Andreas, Christopher, Engin

• On the definition and classification of cybercrime

  Citation: 186

  Authors: Sarah, Richard

• Hunting for metamorphic engines

  Citation: 180

  Authors: Wing, Mark

• Behavioral detection of malware: from a survey towards an established taxonomy

  Citation: 153

  Authors: Grégoire, Hervé, Eric

• Malware classification based on call graph clustering

  Citation: 144

  Authors: Joris, Orestis

• Malware phylogeny generation using permutations of code

  Citation: 141

  Authors: Md. Enamul., Andrew, Arun, Laxmi

• An intelligent PE-malware detection system based on association mining

  Citation: 140

  Authors: Yanfang, Dingding, Tao, Dongyi, Qingshan

• Comparative analysis of various ransomware virii

  Citation: 139

  Authors: Alexandre

• Code obfuscation techniques for metamorphic viruses

  Citation: 119

  Authors: Jean-Marie, Ludovic