DDSW 2024
Data breaches are a daily occurrence, 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 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 solutions to protect assists other than traditional approaches. This workshop focuses on new security techniques that use machine learning, data mining and statistics analytical techniques to solve nowadays security challenges. The workshop will focus on, but is not limited to, the following areas:
- Machine Learning for Security
- Malware Analysis
- Adverserial 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
Submissions
Original, unpublished papers are solicited for presentation at the DDSW workshop.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.
All accepted papers will be published in Procedia Computer Science, Elsevier.
Please SUBMIT your paper via EasyChair.
Registration
Please register here at EDI40 2022 website.
Committees
Chairs
Brajendra Panda, University of Arkansas, AR, USA
Qussai Yaseen, Ajman University, UAE
Mohammed Azmi Al Betar, Ajman University, UAE
Technical 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
Steering
- Qussai Yaseen, Ajman University, UAE
- Brajendra Panda, Univeristy of Arkansas, USA