ICBDS 2019 : International Conference on Big Data and Security-EI,Scopus

2019 International Conference on Big Data and Security
(ICBDS 2019)
Dec.20-22, Nanjing, China

Title： International Conference on Big Data and Security (ICBDS2019)

Website：http://www.icbds.org/

Location：Nanjing Institute of Technology, China

Proceeding：All accepted papers will be published in Springer Book Series “Communications in Computer and Information Science (CCIS)” (final approval pending)

Indexing： ISI Proceedings, Web of Science, EI-Compendex, SCOPUS, DBLP, Google Scholar, Mathematical Reviews, Springerlink, SCImago, ...

ICBDS Index Period: 5-8 months after the conference, all registered papers will be sent to Web of Science

Scope：
Big Data; Security in Blockchain; IoT Security; Security in Cloud and Fog Computing; Artificial Intelligence/Machine Learning Security; Cybersecurity & Privacy

Call for Workshop Proposal:
Submissions may be made by e-mail in PDF format with "ICBDS2019 Workshop Proposal" in the subject header. Proposals should include the following information:
Title, Contents, Scope, Committee members, No. of possible submissions

Submissions
All submissions should be prepared in English language. We allow full paper and short paper submissions. Full papers are 12-15 LNCS pages and short papers with 6-8 LNCS pages including figures and references. Authors should refer to the conference submission format to prepare their papers.

All papers from ICBDS2019, after further revisions, will be published in the special issue of the following journals.

• Sensors (IF 3.031)
• Electronics（IF 1.764）
• Computer Modeling in Engineering & Sciences （IF 0.796）
• International Journal of Information Retrieval Research (ESCI Web of Science)
• Internet Technology Letters (Web of Science)
• International Journal of Cloud Computing (Scopus)
• Int. J. of Data Science (IJDS)
• Mathematics and Computer Science

Call for Papers
1. Topics of interest include, but are not limited to:
• Big Data
• Security in Blockchain
• IoT Security
• Security in Cloud and Fog Computing
• Artificial Intelligence/Machine Learning Security
• Cybersecurity & Privacy

2. The following Workshops will be conducted as part of the conference:
Big Data
• Big data models and algorithms
• Big data management
• Tools and systems for big data
• Big data analytics and social media
• Hardware/software infrastructure for big data
• Mobile communications and networks
• Security applications of big data
• Big data protection, integrity and privacy
• Big data search and mining
• Machine learning and AI for big data
• Big data persistence and preservation
• Big data quality and provenance control
• Big data for enterprise, government and society
• Big data storage and retrieval
IoT Security
• Security and privacy issues in IoT
• Identity and access management in IoT
• Usable security and privacy frameworks for home networks
• Security architectures for the IoT stack
• IoT ecosystem-level security analysis
• Network architectures and protocols for scalable, robust, secure, and privacy enhancing IoT
• Measurement of industrial IoT
• Secure operating systems in IoT
Security in Cloud and Fog Computing
• Cloud/fog Computing Architecture and Systems
• Information management in cloud/fog computing
• Auditing and accountability in cloud/fog computing
• Access control mechanisms in cloud/fog computing
• Security models and frameworks for cloud/fog applications
• Key management in cloud/fog computing
• Privacy preserving in cloud/fog computing
• Privacy enhanced technologies for cloud/fog applications
• Data confidentiality in cloud/fog devices
• Security Evaluation and Benchmarks Based on cloud/fog computing
• Intrusion Detection & Prevention in cloud/fog computing
• Cyber physical security of cloud/fog devices
Artificial Intelligence/Machine Learning Security
• Adversarial attacks on machine learning
• Defenses against adversarial attacks
• Security of deep learning systems
• Theoretical foundations of machine learning security
• Formal verification of machine learning models
• Differential privacy and privacy-preserving learning
• Vulnerability discovery

Cybersecurity & Privacy
• Post Quantum Cybersecurity
• Visualization for Security
• Cryptography and key algorithms
• Language-based Security
• Location Privacy and Exposure
• Mobile security
• Network security and malware
• Usability/energy/cost/efficiency of security in the network