Complex Network Analysis in Security

Dear Colleagues,

Complex networks are an interdisciplinary field of study that has penetrated biology, social sciences, communication, transportation, cyber security, and many more. Networks are everywhere. They provide important non-trivial clues about the underlying processes that led to their formation. Network analysis helps with assessing the structure and function of complex systems, finding their vulnerabilities, and increasing robustness.

Many problems related to physical and cybersecurity can be modeled using networks. Consider, for example, a police chase: choosing the optimal locations for roadblocks is a problem in complex networks. In cybersecurity, attack graphs model the vulnerabilities and protections inside an organization, allowing the investigator to find the most probable attack paths or optimize the deployment of security patches. In social networks, deep learning on graphs helps to identify fake profiles and disinformation campaigns.

Problems related to networks and security are abundant, but so are the tools to solve them. The network science toolbox includes deep learning algorithms, optimization algorithms, generative random network models, percolation analysis, centrality analysis, and many more.

This Special Issue solicits original research and review articles that describe new problems or solve existing ones using tools from network science. 

Everything that is related to network science and security is in scope, including but limited to:

• Complex networks
• Communication networks
• Transportation networks
• Monitoring optimization
• Interception optimization
• Cybersecurity
• Knowledge graphs
• Ontology
• Threat intelligence
• Propagation analysis
• Malware analysis
• Static analysis
• Dynamic analysis
• Control flow graphs
• Data flow analysis
• Dependency graphs
• Attack graphs
• Forensic investigation
• Visualization
• Social networks
• Disinformation
• Fake profiles
• Social cascade
• Terrorist networks
• Deep learning on graphs
• Graph embedding
• Subgraph embedding
• Node embedding

Dr. Rami Puzis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

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