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 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 assets other than traditional approaches. This workshop focuses on new security techniques that use machine learning, data mining, and statistical analytical techniques to solve today's 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

Original, unpublished papers are solicited for presentation at the DDSW workshop.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.

Indexing
All accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series online. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com) and Engineering Village (Ei) (www.engineeringvillage.com). This includes EI Compendex (www.ei.org/compendex). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings.

Important Dates
Submissions Deadline: January 20, 2025(11:59pm anywhere in the world)
Author notification: January 30, 2025
Camera-ready: February 9, 2025

*** Please send any query to q.yaseen@ajman.ac.ae