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IEEE

The 9th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

Location: Xi'an , China

Submission deadline: 4/2/2022

Conference dates: 6/25/2022 - 6/27/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 596 21 26 6

Call for Papers

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 2022 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

Overview

The scientific conference ranking presented on this page showcases the most impactful conferences in the field of Computer Science. This esteemed ranking has been prepared by Research.com, a leading authority in science research across all major disciplines, including Computer Science. Since 2014, Research.com has been providing reliable and comprehensive data on scientific contributions, consistently earning the trust of the scientific community.

The position of each conference within this ranking is determined by a unique bibliometric score developed by Research.com. This score is based on two critical components: the estimated h-index and the total number of leading scientists who have presented at the conference during the previous three years. This multifaceted approach ensures a robust and meaningful assessment of a conference’s scientific impact and relevance within the academic community.

The ranking features up-to-date Impact Score values collected as of 2024-11-27. The creation of this ranking involved a meticulous examination of over 2,742 conferences. These conferences were chosen following a thorough and rigorous review process, which included an analysis of over 148,739 scientific documents published within the last three years by 13,184 distinguished and highly respected researchers in the area of Computer Science. The scope and depth of this effort underscore the rigorous standards upheld throughout the ranking's development.

For readers interested in further details about the methodology and calculation of the ranking scores, comprehensive information is available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at International Conference on Cyber Security and Cloud Computing (based on the number of publications) are:

  • Meikang Qiu (27 papers) published 2 papers at the last edition, 6 less than at the previous edition,
  • Keke Gai (22 papers) published 3 papers at the last edition, 6 less than at the previous edition,
  • Lixin Tao (11 papers) absent at the last edition,
  • Bo Li (6 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Hui Zhao (5 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Cyber Security and Cloud Computing (based on the number of publications) are:

  • Pace University (35 papers) published 3 papers at the last edition, 11 less than at the previous edition,
  • Beihang University (12 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Henan University (9 papers) absent at the last edition,
  • Shanghai Jiao Tong University (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Beijing University of Posts and Telecommunications (4 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2017 edition, 26.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 46.67% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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