[Om-announce] CCPE Special Issue CFP： Secure Smart World Submission Deadline Extended to Dec. 31

[Qin Liu]

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Call for Papers for the Secure Smart World Special Issue on Concurrency and Computation: Practice and Experience (CCPE)

https://onlinelibrary.wiley.com/pb-assets/assets/15320634/Secure%20Smart%20World%20(S2World2020)%20v2.pdf







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This smart world is set to be the next important stage in human history, where numerous smart things communicate and collaborate so that many tasks and processes could be simplified, more efficient, and enjoyable. As the cornerstone technologies enabling a smart world, Internet of things (IoT) and artificial intelligence (AI) have been interacting with each other to stitch everything smart towards smart life. However, a myriad of sensitive data is generated, processed, and exchanged through the IoT devices and AI technologies, one of the fundamental problems is how to organically integrate IoT and AI to provide intelligent services in smart world without compromising security and privacy. This special issue aims to bring together researchers and practitioners in IoT, AI, and network security to share their novel ideas and latest findings to show how IoT and AI can work together to enable a secure smart world. 




This special issue will tackle the enabling technologies of a smart world. Original research articles are solicited, which include (but not limited to), the following topics:

- Novel IoT devices and infrastructure platforms in secure smart worlds

- Trust evaluation and management in smart worlds

- Secure smart city applications, including secure IoT/AI applications 

- Authentication and access control in secure smart worlds

- Secure policies, models and architectures for IoT and AI

- Novel cryptographic mechanisms for IoT and AI

- Threat intelligence for IoT and AI

- Intrusion detection theories and techniques for IoT and AI

- Secure experiments, test-beds and prototyping systems for IoT and AI

- Software security for IoT and AI

- Secure communication technologies and their optimisation for IoT

- Secure multi-party computation techniques for ML

- Privacy-preserving ML

- Adaptive side-channel attacks

- Security and privacy in data mining and analytics 

- Event alert and prediction in smart world

- Privacy and anonymity techniques for IoT and AI

- Security protocols for IoT and AI

- Privacy-preserving crowdsensing

- Biometrics security







Submissions must follow these guidelines: 

- Please submit your paper to Manuscript Central as S2World2020 special issue. 

- Submissions should be prepared for publication according to the Journal Submission Guidelines. 

- Latex must be used with Wiley Template. 

- The submitted papers must have at least 50% different material beyond any other previously published work. 

- Manuscripts should not exceed 35 pages in length (inclusive of figures and tables) 

- There is a limit of 15 papers plus an editorial in the special issue




Authors should follow the "Guidelines for Authors" from Concurrency and Computation: Practice and Experience (CCPE), when preparing their papers (http://www.cc-pe.net/journalinfo/authors.html#guidelines). All papers must be submitted online (http://www.cc-pe.net/journalinfo/authors.html#submission). To submit a paper, please read submitting page length instructions of the journal. 




Important dates: 

- Submissions Deadline: December 31, 2021 

- First-round pass notification: January 17th, 2022

- Review result notification:  April 1st, 2022

- Acceptance/rejection: July 3rd, 2022 

- Estimated Publication: Q3 2022




The guest editors of the special issue are: 

- Prof. Guojun Wang, Guangzhou University, China 

- Prof. Qin Liu, Hunan University, China

- Prof. Prof. Richard Hill, University of Huddersfield, UK 

- Prof. Jiankun Hu, The University of New South Wales, Australia
















--

Dr. Qin Liu
College of Computer Science and Electronic Engineering
Hunan University
Changsha, Hunan Province,P.R. China, 410082
Mobile: +86-13548577157
Email: gracelq628 at hnu.edu.cn; gracelq628 at 126.com
Homepage: https://qinliu-hnu.github.io/
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