posted by user: oitcthuang || 12078 views || tracked by 4 users: [display]

SICBS 2019 : 2019 3rd International Conference on Security with Intelligent Computing and Big-data Services

FacebookTwitterLinkedInGoogle

Link: http://www.sicbs2019.info
 
When Dec 4, 2019 - Dec 6, 2019
Where New Taipei City, TAIWAN
Submission Deadline Oct 1, 2019
Notification Due Oct 25, 2019
Categories    information security   intelligent computing   big-data   IOT
 

Call For Papers

2019 3th International Conference on Security with Intelligent Computing and Big-data Services
Dec. 4-6, 2019, Chihlee University of Technology, New Taipei City, TAIWAN

*CALL FOR PAPERS*
The 2019 3rd International Conference on Security with Intelligent Computing and Big-data Services (SICBS’19 for short) will be held in Chihlee University of Technology, New Taipei City, TAIWAN, December 4-6, 2019. SICBS’19 will provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Security with Intelligent Computing and Big-data Services. It aims at strengthening the international academic cooperation and communications, and exchanging research ideas. All accepted papers in SICBS’19 have been scheduled to be published in Springer by the series “Advances in Intelligent Systems and Computing” (AISC), which is indexed by EI Compendex. Furthermore, extended versions of selected papers will be published in the following SCI-indexed Journals and EI-indexed Journals:
。International Journal of Network Security (EI)
。Journal of Information Hiding and Multimedia Signal Processing (EI)
。Journal of Supercomputing (SCI)
。Journal of internet Technology (SCIE)
。Journal of Information, Technology, and Society

TOPICS include, but not limited to:
A: Information Security
B: Information Hiding and Cryptography
C: Information processing
D: Big Data and Technological Computing
E: Evolutionary Computing
F: Intelligent Computing and Systems
G: Cyber-security and Evidence Investigations H: Grid Computing
I: Genetic Computing
J: Internet of Things and Pervasive Computing K: Other Topics
K: Others Topics

*Organization*
General Chairs
Sheng-Lung Peng, NDHU
Shiuh-Jeng WANG, CPU

*Program Committee Chairs*
Chih-Hung Wang, National Chiayi University, Taiwan
Kuo-Yu Tsai, Fengchia University, Taiwan
Taeshik Shon, Ajou University, Korea
Damien Sauveron, University of Limoges, France
Ching-Nung Yang, National Dong Hwa University, Taiwan

*PAPER SUBMISSION*
Each paper should follow the Springer LNCS / AISC paper format. Please submit papers by using EasyChair system:
the following submission:
https://easychair.org/conferences/?conf=sicbs2019

*IMPORTANT DATES* (Extended)
Paper Submission Deadline: [Extension]
October 23, 2019
Poster Submission Deadline: [Extension]
October 23, 2019
Paper Notification Date:
November 07, 2019
Poster Notification Date:
November 07, 2019
Early Registration Deadline:
November 15, 2019
Conference Date:
December 4-6, 2019
Camera-ready Deadline:
December 20, 2019

e-mail:
SICBS2019@gmail.com
website:
http://www.sicbs2019.info/

Related Resources

IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
blockchain_ml_iot 2021   Network and Electronics (MDPI) Joint Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges
AI Meets Cybersecurity 2022   Call for Papers: AI Meets Cybersecurity from Journal of Intelligent Information Systems
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
EvoCompAISecurity&Privacy 2022   Evolutionary Computing for AI-Driven Security and Privacy: Advancing the state-of-the-art applications
DaKM 2022   7th International Conference on Data Mining & Knowledge Management
JMC 2022   JOURNAL OF MATHEMATICAL CRYPTOLOGY
WSCIS 2022   2022 3rd International Workshop on Smart City and Intelligent Systems (WSCIS 2022)
DMML 2022   3rd International Conference on Data Mining & Machine Learning