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RSDA 2022 : The 7th International Workshop on Resiliency, Security, Defenses and Attacks


When Oct 31, 2022 - Oct 31, 2022
Where Charlotte, North Carolina, USA
Submission Deadline Aug 1, 2022
Notification Due Aug 19, 2022
Final Version Due Aug 26, 2022
Categories    machine learning   cybersecurity   resiliency   data engineering

Call For Papers

---------- The 7th International Workshop on Resiliency, Security, Defenses and Attacks -----------
-------------------------------------------- RSDA 2022 --------------------------------------------

co-located with The 33rd Annual IEEE International
Symposium on Software Reliability Engineering (ISSRE 2022)
to be held in Charlotte, North Carolina, USA,
Oct 31 - Nov 3, 2022

The workshop follows its past successful editions held at both ISSRE and DSN (RSDA 2021, RSDA 2020, RSDA 2019, RSDA 2016, RSDA 2014, RSDA 2013).
RSDA 2022 aims to concentrate ideas and contributions from academic and industrial organizations addressing resiliency 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 7th RSDA Edition is co-located with the prestigious 33rd Annual IEEE International Symposium on
Software Reliability Engineering (ISSRE 2022), Oct 31 - Nov 3, 2022, which will follow a hybrid conference model with the in-person event taking place in Charlotte, North Carolina, USA.

RSDA 2022 will follow the hybrid conference model and it will allow online participation and remote presentation of accepted papers.

RSDA is a friendly and lively forum to stimulate scientific research and discuss techniques, procedures and
tools that are currently adopted to manage and analyze resiliency of systems under attack and defenses.
Both research papers and industry experience reports are welcome in any application area, domain and topic of RSDA listed below.
We warmly invite you to visit the workshop webpage to learn more.

The papers accepted at RSDA will be included in the ISSRE 2022 Supplemental Proceedings
as well as in the ISSRE-W volume on IEEE Xplore as workshop papers.

Contact: Raffaele Della Corte -

Workshop Co-chairs

Raffaele Della Corte, Università degli Studi di Napoli Federico II, ITA
Marta Catillo, Università degli Studi del Sannio, ITA
João F. Ferreira, INESC-ID & IST - University of Lisbon, PORTUGAL
Guanpeng (Justin) Li, University of Iowa, USA


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 resiliency 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 resiliency 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.


- 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;
- Machine Learning for security.


- 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;
- Fog and Edge computing;
- Internet of Things.

Paper submission and other information: please refer to

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