NDSS 2022 : Network and Distributed System Security Symposium (NDSS)

in Conferences   Posted on May 17, 2021 

Conference Information

Submission Deadline Friday 23 Jul 2021 Proceedings indexed by :
Conference Dates Feb 27, 2022 - Mar 3, 2022
Conference Address San Diego, United States
Conference & Submission Link https://www.ndss-symposium.org/ndss2022/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 8.91
#Contributing Top Scientists 57
#Papers published by Top Scientists 73
Google Scholar H5-index 71
Guide2Research Overall Ranking: 32
Category Rankings
Networks and Communications 7
Computer Security and Cryptography 3
Proceedings https://www.ndss-symposium.org
DBLP Page https://dblp.uni-trier.de/db/conf/ndss

Conference Call for Papers

Submissions are solicited in, but not limited to, the following areas:

Anti-malware techniques: detection, analysis, and prevention
Cyber-crime defense and forensics (e.g., anti-phishing, anti-blackmailing, anti-fraud techniques)
Security for future Internet architectures and designs (e.g., Software-Defined Networking)
Implementation, deployment and management of network security policies
Integrating security in network protocols (e.g., routing, naming, and management)
Cyber attack (e.g., APTs, botnets, DDoS) prevention, detection, investigation, and response
Software/firmware analysis, customization, and transformation for systems security
Privacy and anonymity in networks and distributed systems
Security and privacy for blockchains and cryptocurrencies
Public key infrastructures, key management, certification, and revocation
Security for cloud/edge computing
Security and privacy of mobile/smartphone platforms
Security for cyber-physical systems (e.g., autonomous vehicles, industrial control systems)
Security for emerging networks (e.g., home networks, IoT, body-area networks, VANETs)
Security for large-scale, critical infrastructures (e.g., electronic voting, smart grid)
Security and privacy of systems based on machine learning and AI
Security of Web-based applications and services (e.g., social networking, crowd-sourcing)
Special problems and case studies: e.g., tradeoffs between security and efficiency, usability, cost, and ethics
Usable security and privacy
Trustworthy Computing software and hardware to secure networks and systems

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