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1
DFRWS — 24th Annual Digital Forensic Research Workshop
09. Jul 2024 - 12. Jul 2024 • Baton Rouge, LA, Vereinigte Staaten
Veranstalter:
DFRWS Committees
Zusammenfassung:
The DFRWS USA 2024 Conference will be held Tuesday, July 9 through Friday, July 12 as a hybrid event in Baton Rouge, Lousiana, USA.
Kontakt:
Tel.: [8045936884];     Email: jow@vcu.edu
Themen:
Machine learning and data mining for digital evidence extraction/query, Malware and targeted attacks (analysis and attribution), Forensics analysis and visualization of Big Data, Non-traditional forensic scenarios/contexts, Network and distributed system forensics, Mobile and embedded device forensics, Cloud and virtualized environments, Vehicle forensics (e.g., drones, cars), SCADA / industrial control systems, Covert channels (e.g., TOR, VPN), Additive manufacturing / 3D printers, Medical devices, Smart power grids, Smart buildings, Virtual currency, Digital forensic preparedness/readiness, Digital investigation case management, Digital evidence sharing and exchange, Digital forensic triage/survey, Digital forensic tool validation, Event reconstruction methods and tools, Digital evidence and the law, Case studies and trend reports, Anti-forensics and anti-anti-forensics
Eintrags-ID:
1593353
2
ARES 2024 — 19th International Conference on Availability, Reliability and Security
30. Jul 2024 - 02. Aug 2024 • Wien, Österreich
Veranstalter:
SBA Research
Zusammenfassung:
ARES is ranked as B-conference in CORE.
Kontakt:
Conference Management;     Email: ares@sba-research.org
Themen:
Authorization, Authentication, and Access Control Automated Vulnerability Repair Availability, Confidentiality, Integrity Botnets and Botnet Monitoring Cloud Security Compliance, Certification and Legal aspects related to Security and Privacy Dependability, and Resilience Digital Forensics Human Factors in Security and Privacy Identity Management Incident Response and Prevention Intrusion Detection and Fraud Detection Machine Learning for Security and Privacy Security and Privacy for Machine Learning Mobile Security Network Security Privacy-Enhancing Technologies (PETs) Process based Security Models and Methods Risk analysis Side Channel Attacks Software Security Static and Dynamic Code Analysis for Security and Privacy Security and Privacy for IoT, Cyber-Physical Systems, and Critical Infrastructures Security and Privacy Awareness Security Requirements and Secure Design of Applications Usable Security and Privacy Threats and Attack Modelling Trusted Computing Trust Models and Trust Management Web Application Security and Privacy
Eintrags-ID:
1596909


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