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When Jan 1, 2020 - Sep 30, 2020
Where N/A
Submission Deadline May 5, 2020
Notification Due May 30, 2020
Categories    computer science   cybersecurity   machine intelligence   big data

Call For Papers

Publication in "Studies in Computational Intelligence", Springer and indexed by (Scopus & Web of Science)

May 05, 2020: Chapters Submission
Call for chapters:
Submission Link:

As cyber-attacks against critical infrastructure increase and evolve, automated systems to complement human analysis are needed. Moreover, chasing the breaches is like looking for a needle in a haystack. Such organizations are so large, with so much information and data to sort through to obtain actionable information that it seems impossible to know where to start. The analysis of the intelligence of an attack is traditionally an iterative, mainly manual process, which involves an unlimited amount of data to try to determine the sophisticated patterns and behaviours of intruders. This book aims to bring together researchers in the field of cybersecurity and key data to advance the missions of anticipating, prohibiting, preventing, preparing and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines related to machine intelligence and Big data analytics for cybersecurity and privacy.

Topics of Interest:

This book targets a mixed audience of researchers, academics and investigators from different communities to share and exchange new ideas, approaches, theories and practice to resolve the challenging issues associated with the leveraging of Machine Intelligence and Big Data Analytics For Cybersecurity and Privacy paradigm. Therefore, the suggested topics of interest for this book include, but are not limited to:

- Big Data Analytics for cybersecurity
- Real-time situational awareness
- Artificial Intelligence Analytics Techniques
- Machine Learning techniques for Cybersecurity and Privacy
- Deep Learning techniques for Cybersecurity and Privacy
- Malware detection and prevention techniques
- Intrusion and cybersecurity threat detection and analysis
- Cyber-physical-social system security and incident management
- Mobile and cloud computing security
- IoT cybersecurity and privacy
- Big data analytics for cybersecurity
- Big data analytics for digital forensics
- Cybersecurity Applications
- Anomaly/threat detection techniques
- Malware detection and Prevention
- Submission Procedure:

Authors are invited to submit their full chapter by March 30, 2020. Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer requirements that can be downloaded from the (link) and the Chapter should contain in between 20-30 pages. Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:

NB: There are no submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process.

Abstracting and Indexing:

The accepted chapters will be published in "Studies in Computational Intelligence" by Springer, h-index = 40, highly indexed in Scopus, Thomson Reuters, EI, DBPL, etc…


For questions regarding the book, please contact the volume editors:

Yassine Maleh, Sultan Moulay Slimane University:
Youssef Baddi, Chouaib Doukkali University, Morocco:
Mohammad Shojaafar, Surrey University, UK:
Mamoun Alazab, Australian National University, Australia:

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