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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.


SPECIAL SESSIONS LIST

DMMLACS 20212nd International Special Session on Data Mining and Machine Learning Applications for Cyber Security
Chair(s): Alaa Mohasseb and Benjamin Aziz

QQSS 2021Special Session on Quality of Service and Quality of Experience in Systems and Services
Chair(s): Przemyslaw Falkowski-Gilski

2nd International Special Session on Data Mining and Machine Learning Applications for Cyber Security - DMMLACS 2021

Paper Submission: July 30, 2021
Authors Notification: September 8, 2021
Camera Ready and Registration: September 17, 2021


Co-chairs

Alaa Mohasseb
University of Portsmouth
United Kingdom
e-mail
 
Benjamin Aziz
University of Portsmouth
United Kingdom
e-mail
 
Scope

The increasing amount and complexity of cybersecurity attacks in recent years have made cyber threats emerge as an important issue in companies and with the implementation of data mining and machine learning techniques it has become an important topic and factor in discovering features of such attacks and detecting future security threats.

This special session aims to bring together practitioners and researchers from academia and industry to obtain an insight into the current state of the practice of data mining and machine learning applications and to discuss the challenges, approaches and the importance of cyber threats predictions and how using emerging technologies such as machine learning could improve the prevention of such attacks.



Special Session on Quality of Service and Quality of Experience in Systems and Services - QQSS 2021

Paper Submission: July 30, 2021
Authors Notification: September 8, 2021
Camera Ready and Registration: September 17, 2021


Chair

Przemyslaw Falkowski-Gilski
Gdansk University of Technology
Poland
e-mail
 
Scope

With the outbreak of desktop and mobile platforms, the number of services available online, as well as consumer devices connected to the Internet, continues to grow. Generally speaking, network traffic is related with typical basic user activities, such as: voice calls, text messages, and of course web browsing. However, due to the popularity of multimedia services, e.g. transmission of audio-visual content, the network is flooded with additional packets of data. The process of content creation, formatting and distribution, may be realized by numerous parties, including professionals as well as amateurs. This forces a broader analysis of numerous quality aspects, including technical quality of service (QoS) and subjective quality of experience (QoE).


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