Call for Paper
The 3nd International Workshop on Data-Driven Security (DDSW 2022)
In conjunction with
The 5th International Conference on Emerging Data and Industry 4.0 (EDI40)
March 22 – 25, 2022, Porto, Portugal
https://www.ajman.ac.ae/en/ddsw
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
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
Submission of Papers
Original, unpublished papers are solicited for presentation at the DDSW workshop.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, and must be formatted according to the conference guidelines found at:
http://cs-conferences.acadiau.ca/edi40-22/#paperSubmissions
Please use the link https://easychair.org/conferences/?conf=ddsw2022 to submit your paper.
Important Dates
Submissions Deadline: December 20, 2021(11:59pm anywhere in the world)
Author notification: January 10, 2022
Camera-ready: January 20, 2022
***Please send any inquiry on DDSW2022 to: q.yaseen@ajman.ac.ae