Categories |
MACHINE LEARNING
CYBERSECURITY
RELAIBILITY
DATA ENGINEERING
|
Call for Papers |
|
---------- The 4th International Workshop on Reliability and Security Data Analysis ----------- -------------------------------- RSDA 2019 ---------------------------------------- co-located with The 30th Annual IEEE International Symposium on Software Reliability Engineering (ISSRE 2019) BERLIN, GERMANY 28-31 Oct 2019 The workshop follows its past successful editions held at both ISSRE and DSN (RSDA 2016, RSDA 2014, RSDA 2013). RSDA 2019 aims to concentrate ideas and contributions from academic and industrial organizations addressing reliability and 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. The papers accepted at RSDA 2019 will be included in the ISSRE Supplemental Proceedings as well as in the ISSRE-W volume on IEEE Xplore. Website: http://www.mobilab.unina.it/RSDA2019/ Contact: Antonio Pecchia - [email protected] Workshop Co-chairs Marcello Cinque, Università degli Studi di Napoli Federico II, ITALY Almerindo Graziano, Silensec, UK Dongseong Kim, The University of Queensland, AUS Antonio Pecchia, Università degli Studi di Napoli Federico II, ITALY Web Chair Raffaele Della Corte, Università degli Studi di Napoli Federico II, ITALY SCOPE OF RSDA Computer systems are the basis for daily human activities and, more importantly, they play a key role in a variety of critical domains. Assessing dependability properties of computer systems is today an important concern for engineers and practitioners. 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. RSDA ADDRESSES, BUT IT IS NOT LIMITED TO, THE FOLLOWING RESEARCH ISSUES/TOPICS: Dependability and security measurement and modeling; Dependability and security monitoring and control; Analysis of attacks, defenses, and countermeasures; Adversarial machine learining: 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; 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. 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; Database and transactional systems; Operating systems; Web-based information systems. Paper submission and other information: please refer to http://www.mobilab.unina.it/RSDA2019/ |
Credits and Sources |
| [1] RSDA 2019 : The 4th International Workshop on Reliability and Security Data Analysis |
