Conference Information

MSPN 2020: International Conference on Mobile, Secure and Programmable Networking

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Submission Date:
2020-09-20 Extended
Notification Date:
2020-10-05
Conference Date:
2020-10-28
Location:
Paris, France
Years:
6
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Call For Papers

MSPN 2020 (International Conference on Mobile, Secure and Programmable Networking) is an academic conference held in Paris, France on 2020-10-28. The paper submission deadline is 2020-09-20 (extended). Acceptance notifications are sent on 2020-10-05.

MSPN 2020 is the 6th edition of the successful International Conference on Mobile, Secure and Programmable Networking. It aims at providing an elicited forum for researchers and industrial practitioners to present and discuss emerging trends in networking infrastructures, distributed yet intelligent protocols, security, services and applications while focusing manifold vertical tools on machine leaning and artificial intelligence, network programming and Cloud computing, Industrial Internet of things, Digital Twins, etc. Position papers are also appreciated and solicited. It should be clearly marked as such. MSPN 2020 will be held from September 9 to September 10, 2020 in Paris, France. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, to https://easychair.org/conferences/?conf=mspn2020. The accepted papers wil be published as a post-proceedings in Springer’s LNCS. Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index – Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. Authors of selected articles will be invited to submit an extended version to a Special Issue of the Computers journal. Different targeted topics by the conference are available in the following tracks: Technologies and Applications for new Generation Networks and Systems Security of new Generation Networks and Systems Artificial Intelligence and Machine Learning for new Generation Networks and Systems
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