Data breaches occur daily, where adversaries attack consumers, corporations, and governments. Moreover, data breaches are growing tremendously due to the immense growth of the backbones of commerce and critical infrastructure, and the interconnectivity of networks. The skills of adversaries are improving, and the number and severity of attacks are increasing, which makes known security countermeasures suffer. While much research focuses on technical, business or compliance aspects, there is an increasing need for new security solutions to protect assists other than traditional approaches. This workshop focuses on new security techniques that use machine learning, data mining, and statistical analytical techniques to solve modern security challenges. 

Submission Guidelines

Original, unpublished papers are solicited for presentation at the DDSW workshop. Prospective authors are invited to submit papers (electronically, PDF only) that are no longer than 6 pages for full papers, including all figures and references. The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Template Generic, Elsevier.

List of Topics

• Machine Learning for Security
• Malware Analysis
• Adversarial Machine learning
• Statistics for Security
• Analysis of identified vulnerabilities
• Analysis of successful attacks or attack attempts
• Diverse aspects of security analytics
• Tools for security analytics
• Security analytics data

Committees

Program Committee

• Dharma Agrawal, University of Cincinnati, OH, USA
• Johnathon White, Harding University, AR, USA
• Bedir Tekinerdogan, Wageningen University, The Netherlands
• Ziad Alsharif, Jordan University of Science and Technology, Jordan
• Salam Fraihat, Ajman University, UAE
• Jorge Sa Silva, University of Coimbra, Portugal
• Aneta Poniszewska-Maranda, Lodz University of Technology, Poland
• Sharif Makhadmeh, Ajman University, UAE
• Michael Schwarz, Graz University of Technology, Austria
• Kamran Arshad, Ajman University, UAE
• Ivan Demydov, Lviv Polytechnic National University, Austria
• Ahmad Manasrah, HCT, UAE
• Ahmed Shatnawi, Jordan University of Science and Technology, Jordan
• Mohamed Deriche, Ajman University, UAE
• Shadi Aljawarneh, Jordan University of Science and Technology, Jordan
• Mohammed Al-Saleh, Computer Information Science, Higher Colleges of Technology, UAE
• Malik Ghazi Qasaimeh, Jordan University of Science and Technology, Jordan

Organizing Committee

• Brajendra Panda, University of Arkansas, AR, USA
• Qussai Yaseen, Ajman University, UAE

Venue

The conference will be held in HASSELT, BELGIUM

Contact

All questions about submissions should be emailed to q.yaseen@ajman.ac.ae