International Workshop on Reliability and Security Data Analysis (RSDA)

October 28th, 2019

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International Workshop on Reliability and Security Data Analysis (RSDA)

Germany » 
October 28th, 2019 - October 31st, 2019

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InfoSec Conference Summary

The description was submitted by the Conference Organizer. We sometimes edit it to enhance the listing.

The aim of the International Workshop on Reliability and Security Data Analysis (RSDA) is to concentrate contributions & ideas from industrial and academic organizations addressing reliability & security of computer systems through data analysis. RSDA aims to gather high-quality papers on data-driven methodologies, measurements from production systems and analysis of large datasets.

RSDA is quickly emerging as a forum to stimulate scientific research and discuss techniques, tools, and procedures that are currently adopted to analyze and manage reliability and security data. The expected output of the workshop is to establish the agenda of future research activities in the field of reliability and security data analysis, with the ambition of creating concrete synergies between researchers and industrial bodies of different research communities addressed by RSDA.

RSDA addresses, but is not limited to the following research topics/issues:

  • Event logs and security-related data collection, processing and management;
  • Monitoring and analysis of resource utilization metrics;
  • Dependability and security monitoring, measurement and modeling;
  • Anomaly detection;
  • Analysis of attacks, defenses, and countermeasures;
  • Adversarial machine learning:
  • Security Information and Event Management (SIEM);
  • Data visualization;
  • 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;
  • Defect analysis and Software Reliability Growth Models (SRGM);
  • Dependability and security forensics;
  • Generation of synthetic data sets for benchmarking dependability/security techniques;
  • Dependability and security analysis of large datasets and production systems.

Relevant application areas include but are not limited to:

  • Application dependability and security;
  • Distributed, parallel, clustered and grid systems;
  • Critical infrastructures protection;
  • Cloud;
  • Mobile systems and services;
  • Middleware, database and transactional systems;
  • Operating systems;
  • Web-based information systems.

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