The 3rd IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2016)
When : 2016-06-28
Where : France
Submission Deadline : 2016-03-28
Categories : Computer Science & Information Technology , Software Engineering & Security
The 3rd IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2016)
June 28 - July 1, 2016
France .
Call For Papers
The analysis of textual/numeric data and log files produced under real workload conditions by applications, systems, and networks, intrusion detection systems, monitors and issue-trackers plays a key role for dependability assessment. Data analysis is crucial in a variety of engineering tasks, such as measuring availability and reliability of a system, characterizing failures, gaining insights into the progression of security attacks, designing mitigation means and countermeasures.
Academia and industry widely recognize the inherent potential of reliability and security data analysis for assessing dependability of computer systems and operational networks, and improving the engineering process. Data analysis in these specific areas poses many challenging research questions due to the heterogeneity, volume and velocity of the collected data, the lack of systematic end-to-end analysis procedures, the increasing diversity of analysis objectives and emerging application domains in critical areas.
Topics
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Dependability and security measurement and modeling;
Dependability and security monitoring and control;
Analysis of attacks, defenses, and countermeasures;
Intrusion detection and prevention;
Denial-of-Service and botnet analysis, detection, and mitigation;
Application security status monitoring;
Behavior-based fraud and threat detection;
Insider threat and functional misuse detection;
Error/Failure detection and characterization;
Failure prediction and recovery techniques;
Failure data analysis and field studies;
Fault and intrusion tolerance;
Dependability and security forensics;
Generation of synthetic data sets for benchmarking dependability/security techniques;
Dependability and security analysis techniques for large datasets;
Dependability and security analysis of production systems.