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MLWSS 2020 : International Workshop on Machine Learning for Web Services Security

Zayed University, Academic City, Dubai.
Event Date: Dec 14, 2020 - Dec 17, 2020
Submission Deadline: Aug 16, 2020
Notification of Acceptance: Sep 14, 2020
Camera Ready Version Due : Sep 27, 2020

About

This workshop will focus on overfitting issues, such as architecture cost, design, algorithms and methodologies to solicit original research work with a particular emphasis on the challenges and future trends in cyber security, particularly for web-based services security, using machine learning applications. Machine learning approach has proven to be suitable for the WSS because it can help learn information and behaviour from the online and offline data sources in an automatic routine and reduce the workload of security threat analysis through human experts. In connection to this, emerging approaches, such as reinforcement learning, adaptive learning, deep learning, etc can be used for efficiently detecting any type of cyberthreat to WSS.

Call For Paper

Topics of interest include, but are not limited to ones listed below.

  • Deep learning techniques in security and privacy.
  • Reinforcement learning in security and privacy
  • WSS threat and attack model generation based on machine learning
  • Adversarial machine learning in WSS
  • Insider threats and countermeasures
  • Web semantics security
  • Web services-based Biometrics security
  • Personal data protection over WSS
  • Ethical and legal implications of security and privacy in web services
  • Critical infrastructure protection in WSS
  • Security and privacy prevention in web services
  • WSS privacy policies
  • Secure web services development methodologies and modelling
  • WSS challenges and future trends

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