会議情報
CSCloud 2024: IEEE International Conference on Cyber Security and Cloud Computing
https://www.cloud-conf.net/cscloud/2024/cscloud/index.html
提出日:
2024-04-01
通知日:
2024-05-01
会議日:
2024-06-28
場所:
Shanghai, China
年:
11
閲覧: 30111   追跡: 11   出席: 2

論文募集
Since the development of Cloud Computing technology has deeply changed not only the development of computer science, but also influenced the way people live. With Cloud-based technology, various kinds of mobile applications to big data based services are provided to accelerate the data oriented services. Today, one of the most promising trends is the Cloud-based solutions for small enterprises to deploy their business on Cloud servers. However, privacy and security issues along with the widely developed Cloud-based services are always becoming an obstacle for the usage of the Cloud services. Also, the Artificial Intelligence (AI) based technologies such as Deep Learning (DL) have brought new challenges to the traditional security and privacy issues on Cloud Computing. IEEE CSCloud 2024 focuses on these two aspects and aims to gather recent achievements in cyber security and cloud computing fields. The conference invites those papers that concentrate on new paradigms, algorithms, and applications in cyber security or cloud computing. We also encourage researchers and practitioners to build up the connections between academia and industry. We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event. The conference invites those papers that concentrate on new paradigms, algorithms, and applications in cyber security or cloud computing. We also encourage researchers and practitioners to build up the connections between academia and industry. We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event.

Topics of particular interest include, but are not limited to:

    Security of Artificial Intelligence enabled computing
    Robust Deep Learning technology and applications
    Security and Privacy on Clouds with AI
    Big data security issues
    Machine learning based big data solutions
    Deep learning based big data solutions
    Social engineering, insider threats, advance spear phishing
    Security and fault tolerance for embedded or ubiquitous systems
    Security of Web-based applications and services
    Cloud users’ privacy information protection
    Critical infrastructure protection in cloud/fog/edge computing
    Cyber issues and solutions in fog/edge computing
    Reinforcement learning-based security mechanism
    Secure methods for heterogeneous cloud resource sharing
    Green cloud computing mechanisms
    Cloud-based audio/video streaming techniques
    New attack methods and applications
    Reinforcement learning-based intelligent agent in cloud computing
    Trust management in cloud/fog/edge computing
    Trust and reputation systems for cloud-based applications
    Emerging attack methods in cloud/fog/edge computing
    Digital forensics and privacy issues in cloud computing
    Anti-Forensics and Anti-Anti-Forensics Techniques
    Cyber monitoring approaches
    Data leakage, data protection and database forensics
    Identity management and fraud management
    Critical issues and solutions of Cyber security in tele-health
    Cyber security in mobile embedded systems
    New security cloud computing model, framework, and application
    Heterogeneous clouds and vulnerabilities
最終更新 Dou Sun 2024-03-31
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完全な名前インパクト ・ ファクター出版社
Advances in Data Analysis and Classification1.400Springer
Online Information Review3.100Emerald
Automatic Control and Computer Sciences0.600Springer
IEEE Letters of the Computer SocietyIEEE
EURASIP Journal on Information Security2.500Springer
Journal of Digital Imaging2.900Springer
APL Photonics5.400American Institute of Physics
ACM Journal of Data and Information Quality1.500ACM
ACM Computing Surveys23.80ACM
IEEE Robotics & Automation Magazine5.400IEEE
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