RAID 2020 : International Symposium on Research in Attacks, Intrusions, and Defenses
in Conferences Posted on October 30, 2020Conference Information
Submission Deadline | Tuesday 07 Apr 2020 |
Proceedings indexed by : ![]() |
Conference Dates | Oct 14, 2020 - Oct 16, 2020 | |
Conference Address |
San Sebastian, Spain ![]() |
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Conference & Submission Link | https://raid2020.org/ |

Conference Ranking & Metrics (This is a TOP Conference)
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Proceedings | https://link.springer.com/conference/raid |
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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