BIGDATACTI_22: Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence |
Website | https://sites.google.com/view/bigdatacti |
Submission link | https://easychair.org/conferences/?conf=bigdatacti-21 |
Submission deadline | March 10, 2022 |
Editors of the Book "Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence" invites submissions containing Original, High-Quality Ideas that are relevant to the SCOPE OF THE BOOK. The book will MAINLY focus on significant issues in the field of Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence. The book is mainly intended for post-graduate students, research scholars, academics, industry and research lab scientists. The objective of this book is to provide state-of-the-art of research results, applications and real Big Data Intelligence deployment scenarios related to Cyber Threat Intelligence CTI. EXPERIENCED Authors and Contributors in the field of Big Data intelligence may kindly submit their chapters. All chapter proposals that conform to submission guidelines will be peer-reviewed and evaluated based on originality, technical and research content, depth, correctness, relevance to scope of the book and readability.
For more details, the following website may kindly be referred:
Submission Guidelines
Authors are invited to submit their full chapter by March 10, 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 River book chapter format. Manuscripts must be prepared using:
Template & Stylefile can be downloaded from links below:
Guideline for figure submission is as below:
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Figures in image format minimum 300 dpi (EPS is preferred, or JPEG, or bitmap, or PPT, or PSD)
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Line art figures in Image format minimum 600 dpi (EPS is preferred, also PPT, TIF or GIF or PNG)
Guideline for manuscript preparation is given below:
Chapters should contain between 14-30 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:
https://easychair.org/conferences/?conf=bigdatacti-21
NB: There are no submission or acceptance fees for manuscripts submitted to this book for publication. All manuscripts are accepted based on a double-blind peer review editorial process
The chapter prior to submission should be checked for plagiarism from licensed plagiarism software like Turnitin, iThenticate, etc. The similarity content should not exceed 25% (in any case either self-sourced contents or others).
List of Topics
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Big data analytics for Cyber threat intelligence and detection
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Artificial Intelligence Analytics Techniques
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Real-time situational awareness
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Machine Learning techniques for CTI
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Deep Learning techniques for CTI
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Malware detection and prevention techniques
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Intrusion and cybersecurity threat detection and analysis
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Cyber-physical-social system security and incident management
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Mobile and cloud computing security
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IoT cybersecurity and privacy
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Big data analytics for cybersecurity
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Big data analytics for digital forensics
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Dark Web Analytics for Proactive CTI applications
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Real-time AI for cyber threat detection
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Machine learning for CTI
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Data intellgeince and DataOps
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AI for preventing security and data breaches
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AI for Risk management and threat management
Editors
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Prof. Ahmed A. Abd El-Latif, Menoufia University, Egypt
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Prof. Yassine Maleh, Sultan Moulay Slimane University, Morocco
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Prof. Mamoun Alazab, Charles Darwin University, Australia
- Imed Romdhani, Edinburgh Napier University, UK
Publication
All accepted chapters will be published by "River Publishers Series in Security and Digital Forensics. The books of this series are covered by Scopus and WoS. The book chapters will be available at: IEEEXplore-RiverPublishers
Contact
For questions regarding the book, please contact Professor Yassine Maleh:
- Yassine Maleh, Sultan Moulay Slimane University, Morocco: yassine.maleh@ieee.org