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SVSS 2018 : International Workshop on the Security of Video Surveillance Systems


When Nov 27, 2018 - Nov 30, 2018
Where Auckland, New Zealand
Submission Deadline Sep 7, 2018
Notification Due Oct 1, 2018
Final Version Due Oct 15, 2018
Categories    security   information security   machine learning   network security

Call For Papers

Video surveillance systems have become an important part of our lives, introducing new capabilities to improve civilian protection, reduce crime, increase the security of military and critical infrastructures, etc. As the trend of the Internet of Things (IoT) has evolved, video and signaling surveillance systems have begun to integrate new, advanced, and intelligent functionalities, such as real-time video stream analysis and detection using advanced machine learning techniques, streaming data to servers deployed in the cloud to provide access to the content by multiple devices from any location, and more. However, the integration of new functionalities into these systems exposes them to new risks that need to be considered and mitigated. For example, we cannot assume that the transmitted and visualized video is protected and reflects the true state of the monitored environment/objects, since an attacker can monitor and manipulate the data streams of such systems in real-time (e.g. reply attack) from a remote location. Some of the security problems resulting from the intersection of the digital and physical realms, introduce cyber security challenges which are unique to video and signaling surveillance systems and may cost human lives. It is therefore critical to address the emerging cyber security related problems, which can affect (compromise) various components of such surveillance systems. This workshop aims to bring together the latest cyber security research pertaining to all aspects of video surveillance systems. We are soliciting contributions on (but not limited to) the following topics:

-Secured architecture for video surveillance systems
-Intrusion detection in video surveillance systems
-Inferring information from encrypted video streams
-Cyber attacks on video surveillance systems
-Cyber attacks from video surveillance systems
-Adversarial AI aimed at video streams and surveillance systems
-Surveillance system honeypots
-Security measures for surveillance systems

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