posted by user: XujuanZhou || 642 views || tracked by 2 users: [display]

MLACS 2019 : International Workshop on Machine Learning Algorithms for Cybersecurity

FacebookTwitterLinkedInGoogle

Link: https://tau.usq.edu.au/MLACS2019/
 
When Oct 14, 2019 - Oct 14, 2019
Where Thessaloniki, Greece
Submission Deadline Jul 10, 2019
Notification Due Aug 10, 2019
Final Version Due Aug 20, 2019
 

Call For Papers


######################################################################
CALL FOR PAPERS
International Workshop on Machine Learning Algorithms for Cybersecurity (MLACS'19)
in conjunction with the 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI'19)
in Thessaloniki, Greece, October 14, 2019

Website: https://tau.usq.edu.au/MLACS2019/

######################################################################
full paper submission: July 10, 2019
Notification of acceptance: August 10, 2019
Camera-ready submission: August 20, 2019
Workshop date: October 14, 2019
######################################################################

Cyber Security is an area of growth with employment opportunities abound. Many universities in Australia and overseas have started offering niche cyber security programs. Along the same note, there is a growth in the number of research students in Cyber Security, indicating demand for this upcoming domain. Recent trends indicate that machine learning is a key aspect in Cyber Security due to the volume of information crossing global networks, and the individual data associated with this information. In this workshop, we will be discussing the modern machine learning algorithm development, implementation and utilisation in business scenarios specific to Cyber Security.

+++++++++++++++++++
Topics of Interest
+++++++++++++++++++

TOPICS AND AREAS INCLUDE, BUT ARE NOT LIMITED TO
• Machine learning theory on cyber security
• Advanced machine learning methods on cyber security
• Applications of machine learning in cyber security
• Pattern recognition in cyber security
• Privacy protection and management with machine learning techniques
• Social engineering with machine learning and cyber security
• Network and computer security in organizations
• Combating software and hardware piracy with machine learning techniques

++++++++++++++++++++++++++++++++++++
On-Line Submissions and Publication
++++++++++++++++++++++++++++++++++++

Paper submissions should be limited to 6 pages for regular papers or 4 pages for short papers in ACM 2-column format. All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI.

Submission link:

https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=S09&undisplay_detail=1&wh=/cyberchair/2019/wi19/scripts/ws_submit.php

++++++++++++++++++++++++
Organising Committee
++++++++++++++++++++++++

PROGRAM CO-CHAIRS

Dr. Xiaohui Tao University of Southern Queensland, Australia
Dr. Xujuan Zhou University of Southern Queensland, Australia
Prof. Raj Gururajan University of Southern Queensland, Australia

PROGRAM COMMITTEE

Fu Lee Wang Caritas Institute of Higher Education, Hong Kong SAR
Xiaoying Gao Victoria University of Wellington, New Zealand
Tak-Lam Wong Caritas Institute of Higher Education, Hong Kong SAR
Zhaoqing Pan Nanjing University of Information Science and Technology, China
Yiming Zhao Wuhan University, China
Yongrui Qin University of Huddersfield, UK
Wenping Zhang Renmin University of China, China
Bing (Jenny) Zhou Sam Houston State University, United States
Yuxiang Zhao Wuhan University, China
Jianming Yong University of Southern Queensland
KC Chan University of Southern Queensland
Ravinesh Deo University of Southern Queensland
Zhangguang Wu Fujian Chuanzheng Communications College, China
Jang Bahadur Singh Indian Institute of Management Tiruchirappalli  India

++++++++++++++++++++++++
General Enquiry
++++++++++++++++++++++++
MLACS2019@gmail.com


Related Resources

blockchain_ml_iot 2021   Network and Electronics (MDPI) Joint Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges
MDPI Digital SI 2021   MDPI Digital (Free of charge) SI on White-box Artificial Intelligence
DL in Hardware 2021   Circuits and Systems of Dictionary Learning Algorithms and Applications Special Issue
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
DASFAA 2022   Database Systems for Advanced Applications
XSA 2021   Explainable Deep Learning for Sentiment Analysis
GMLFCN 2021   Call for Book Chapters: Green Machine-Learning Protocols for Future Communication Networks
MDPI mathematics 2021   MDPI mathematics - Special Issue on Computational Optimizations for Machine Learning
WSPML 2021   2021 3rd International Workshop on Signal Processing and Machine Learning (WSPML 2021)