RAID 2019 : International Symposium on Research in Attacks, Intrusions and Defenses

  in Conferences   Posted on February 15, 2019

Conference Information

Submission Deadline Tuesday 26 Mar 2019
Conference & Submission Link http://www.raid-2019.org/callForPapers.html
Conference Dates Sep 23, 2019 - Sep 25, 2019
Conference Address Beijing, China
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

Since its inception in 1997, the International Symposium on Research in Attacks, Intrusions and Defenses (RAID) has established itself as a venue where leading researchers and practitioners from academia, industry, and the government are given the opportunity to present novel research in a unique venue to an engaged and lively community.

The conference is known for the quality and thoroughness of the reviews of the papers submitted, the desire to build a bridge between research carried out in different communities, and the emphasis given on the need for sound experimental methods and measurement to improve the state of the art in cybersecurity.

This year we are soliciting research papers on topics covering all well-motivated computer security problems. We care about techniques that identify new real-world threats, techniques to prevent them, to detect them, to mitigate them or to assess their prevalence and their consequences. Measurement papers are encouraged, as well as papers offering public access to new tools or datasets, or experience papers that clearly articulate important lessons learned. Specific topics of interest to RAID include, but are not limited to:

Computer, network, and cloud computing security

Malware and unwanted software

Program analysis and reverse engineering

Mobile Security

Web security and privacy

Vulnerability analysis techniques

Usable security and privacy

Intrusion detection and prevention

Hardware security

Cyber physical systems security and threats against critical infrastructures

IoT security

Statistical and adversarial learning for computer security

Cyber crime and underground economies

Denial-of-Service attacks and defenses

Security measurement studies

Digital forensics

Papers will be judged on novelty, significance, correctness, and clarity. We expect all papers to provide enough detail to enable reproducibility of their experimental results. We encourage authors to make both the tools and data publicly available.

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