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International Workshop on Data Driven Security and Intelligent Systems - IWDDSIS 2020

7 - 9 May, 2020

In conjunction with the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS 2020


Yousef Farhaoui
Department of Computer Science, Department of Computer Science | Faculty of sciences and Technic | Moulay Ismail University
Brief Bio
Dr. Yousef FARHAOUI is Professor at Moulay Ismail University, Faculty of Sciences and Techniques, Morocco. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations. He has authored 4 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.
Mamadou Hassimiou Diallo
U.S. Department of Defense, Naval Information Warfare Center (NIWC) Pacific
United States
Brief Bio
Dr. Mamadou H. Diallo is a scientist at the United States Naval Information Warfare Center Pacific in San Diego, California. He is a Science and Technology Manager and currently leading a number of United States Department of Defense research and development projects. He is a subject matter expert in a number of other United States Navy projects. He also contributes in inter-agency research programs within the United States Department of Defense providing assistance in proposal reviews, source selection committees, and technical oversight of funded projects. His research interests span across various areas including security, privacy, and trust in cloud and autonomic computing, big data, and Internet of Things (IoT), identity and access management (IdAM), secure computing, security requirements, trust management in decentralized applications, dependability in software architecture, and privacy policy languages. He is a lead inventor on multiple patent applications.
Jason R. C. Nurse
University of Kent
United Kingdom
Brief Bio
Dr Jason R.C. Nurse is an Assistant Professor in Cyber Security at the University of Kent. He is also a Visiting Academic at the University of Oxford, a Visiting Fellow in Defence and Security at Cranfield University, and a professional member of various associations relating to cyber security research and practice. Specifically, his research concentrates on investigating interdisciplinary approaches to enhance and maintain cyber security for organisations, individuals and governments. This considers the full spectrum of technologies in use today and encompasses topics such as identity security and privacy in cyberspace, defining and measuring digital footprints online, assessing the online advertising industry, privacy and security in the internet-of-things, online trust, fake news and rumours on social media, and psychological dimensions of cybercrime. Jason has previously been a research fellow in cyber security at the University of Oxford and a research fellow in cognitive science at the University of Warwick UK.


Data breaches, which lead to a loss of privacy and confidentiality, are a daily occurrence, where adversaries attack consumers, corporations, and governments. Moreover, data breaches are growing tremendously due to the immense growth of the backbone of commerce and critical infrastructure, and interconnectivity of networks. The skills of adversaries are improving, and the number and severity of attacks are increasing, which make known security countermeasures suffer. While much research focuses on technical, business or compliance aspects, there is an increasing need for new security and privacy solutions to protect assets using other than traditional approaches.

This workshop aims to investigate novel techniques and approaches to data security and privacy. Researchers are encouraged to submit original research contributions in the following, but not exclusively limited, areas.

Topics of Interest

  • Data mining techniques for security and privacy
  • Machine learning for security and privacy
  • Artificial intelligence for security and privacy
  • Statistical analysis for security and privacy
  • Autonomic techniques for data security and privacy
  • Analysis of identified vulnerabilities
  • Analysis of successful attacks or attack attempts
  • Diverse aspects of security and privacy analytics
  • Tools for security and privacy analytics
  • Security and privacy analytics of data
  • Secure computing for data security and privacy
  • Data privacy-enhancing technologies including differential privacy
  • Privacy in Intelligent sensing and applications
  • Biometrics based data security
  • Privacy and accountability issues in biometrics based data security
  • Case studies in intelligent data security and privacy
  • Usability concerns and solutions in intelligent systems
  • Human factors in security and privacy analytics


Paper Submission: March 9, 2020 (expired)
Authors Notification: March 17, 2020 (expired)
Camera Ready and Registration: March 25, 2020 (expired)


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library ( DBLP, Web of Science / Conference Proceedings Citation Index, EI, SCOPUS, Microsoft Academic, Semantic Scholar and Google Scholar
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


IoTBDS Workshops - IWDDSIS 2020