Conference Information
SpaCCS 2020: International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage
http://www.spaccs2020.com/
Submission Date:
2020-05-23
Notification Date:
2020-07-23
Conference Date:
2020-10-23
Location:
Nanjing, China
Years:
13
Viewed: 8431   Tracked: 9   Attend: 2

Conference Location
Call For Papers
The SpaCCS 2020 conference is the 13th event in the series of conferences which are devoted to security, privacy and anonymity in computation, communication and storage. SpaCCS is now recognized as the main regular event of the world that is covering many dimensions including security algorithms and architectures, privacy-aware policies, regulations and techniques, anonymous computation and communication, encompassing fundamental theoretical approaches, practical experimental projects, and commercial application systems for computation, communication and storage. As applications of computer systems and networks have permeated in every aspect of our daily life, the issues of security, privacy, and anonymity have become increasingly critical. The conference will provide a forum for the world-class researchers to gather and share their research achievements, emerging ideas and trends in the highly challenging research fields.

Topics of interest include, but are not limited to:

Track 1: Security
1.1 Computation
-Security Model and Architecture
-Software and System Security
-Secure computation
-Security in Cloud/Fog/Edge Computing and Pervasive/Ubiquitous Computing
-Artificial Intelligence
-Secure Network Computing
-Risk Analysis and Management

1.2 Communication
-Network Security
-Malware and Botnets
-Intrusion Detection
-Security in Web Services
-Security in Mobile Social Networks
-Security in Mobile and Wireless Communications
-Fraud and Cyber-Crime

1.3 Storage
-Access Control
-Accounting and Audit
-Applied Cryptography
-Database Security
-Authentication
-Computer forensics
-Data Protection and Data Integrity
-Digital Content Protection and Digital Forensics
-Information Hiding
-Security in Big Data and its Applications

Track 2: Privacy

2.1 Computation
-Measuring and Quantifying Privacy
-Privacy Modelling and Analysis
-Software and System Privacy
-Privacy-preserving Computing
-Differential Privacy
-Blockchain
-Privacy-enhanced Network Computing
-Obfuscation-based Privacy
-Cryptographic Tools
-Building and Deploying Privacy-enhancing Systems
-Reliability, Robustness, and Abuse Prevention in Privacy Systems

2.2 Communication
-Privacy in Web Services
-Privacy Metrics and Policies
-Crowdsourcing for Privacy
-Location and Mobility Privacy
-Privacy in Cloud and Big Data Applications
-Quantum Communications
-Privacy in Ubiquitous Computing and Mobile Devices
-Privacy in Social Networks and Microblogging Systems
-Privacy-enhanced Access Control, Authentication, and Identity Management

2.3 Storage
-Data Protection Technologies
-Privacy in Big Data and its Applications
-Policy Languages and Tools for Privacy
-Privacy and Human Rights
-Interdisciplinary Research Connecting Privacy to Other Fields
-Privacy in Cloud Computing and Pervasive/Ubiquitous Computing
-Information Leakage, Data Correlation and Generic Attacks to Privacy
-Privacy-Preserving Data Mining, Data Release and Publishing

Track 3: Anonymity

3.1 Computation
-Anonymous Data Mining and Data Sharing
-Parallelism Exploitation Techniques for Anonymity
-Anonymity in Big Data Analytics
-Anonymous Management in Trust Relationships
-Anonymous Video Analytics Technology
-Anonymity Metrics, Measures and Evaluations
-Anonymity Models, Hardware/Device of Anonymity

3.2 Communication
-Anonymity in Wireless Communication Systems
-Anonymous Communication Protocols
-Anonymity in Mobile, Ad Hoc, and Wireless Sensor Networks
-Anonymous Proxy Software
-Anonymous Communication and Internet
-Anonymous Social Networks, Structural k-Anonymity in Social Networks
-Authentication Protocol Providing User Anonymity

3.3 Storage
-Anonymous Information Storage and Management
-Private and Anonymous Data Storage
-Forensics
-Anonymity-Preserving Data Collection and Database
-Anonymity, Pseudonymity & Identity Management
-Anonymity in Big Data and Cloud Scenarios
-Anonymity in Health and Medical Databases
Last updated by Dou Sun in 2020-01-28
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