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Workshops

The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on CD-ROM 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 Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.

WORKSHOPS LIST

SPBDIoT 2018Workshop on Recent Advances on Security, Privacy, Big Data and Internet of Things
Chair(s): Roger Hallman, Victor Chang, Mamadou Hassimiou Diallo, Bahar Farahani and Farshad Firouzi

SCBDADM 2018Workshop on Smart Cities, Big Data Analytics and Digital Manufacturing: Inspiring New Organisational forms and Democratising the Means of Design Innovation and Production
Chair(s): Gary Graham, Patrick Hennelly, Mukesh Kumar, Fosso Wamba Samuel and Rashid Mehmood

SeFoCloud 2018The International Workshop on The Security and Digital Forensics of Cloud Computing (CLOSER)
Chair(s): Ahmed Alenezi and Gary Wills

MLIoT 2018Workshop on Recent Advances in Machine Learning, Big Data Analytics, and Internet of Things (Cancelled)

Workshop on
Recent Advances on
Security, Privacy, Big Data and Internet of Things
 - SPBDIoT 2018

Paper Submission: January 26, 2018 (extended)
Authors Notification: January 30, 2018
Camera Ready and Registration: February 2, 2018

Co-chairs

Roger Hallman
Spawar Systems Center Pacific
United States
 
Victor Chang
Xi'an Jiaotong-Liverpool University
China
 
Mamadou Hassimiou Diallo
SPAWAR Systems Center Pacific
United States
 
Bahar Farahani
Pirouzan Group
Iran, Islamic Republic of
 
Farshad Firouzi
IMEC/Katholieke Univ. Leuven
Germany
 
Scope

In recent years, the Internet of Things (IoT) has grown at an exponential pace solving complex problems in different disciplinary fields such as healthcare, finance, business, transportation, etc. However, these innovations are not without their drawbacks. Many challenges related to Security, Privacy, Connectivity, Big Data Analytics, Intelligent Analysis, Compatibility, Standards, etc. remain.
Security is a crucial issue on the Internet, and it is probably the most significant challenge for the IoT. The Internet of Things (IoT) opens up new vulnerabilities for both security and privacy. Smart buildings and smart cities, for example, will collect and process data for millions of individuals. Industrial systems, which were never intended to be linked via common protocols, are recognized as suddenly being open to security threats that can limit service availability and possibly cause considerable damage. Autonomous systems allowed to operate with minimal oversight are ripe targets for cyber-attacks. Data stored and processed in confidence in the cloud may be subject to exfiltration, leading to public embarrassment or the exposure of proprietary information.  Ransomware has emerged in the public consciousness after multiple high-profile attacks, and many experts forecast that it will become a major threat to IoT and critical infrastructure in the very near future.

Of course, Big Data is the crucial mean for plagiarizing valuable actionable information quickly and effectively from the IoT tsunami. Machine learning techniques are usually used to effectively synthesize (big) data and extracts meaning from (big) data traversing from things/devices to the edge/fog an to the cloud using different techniques such as regression analysis, classification, clustering, decision trees and random forests, support vector machines, reinforcement learning, and deep learning.

In order to succeed in IoT, multidisciplinary research is needed, in addition to collaboration between academia and industry. This workshop will bring researchers and industrial partners together to examine and report state-of-the-art research on recent advances in the IoT era such as Big Data analytics, Machine Learning, and security.




Workshop on
Smart Cities, Big Data Analytics and Digital Manufacturing: Inspiring New Organisational forms and Democratising the Means of Design Innovation and Production
 - SCBDADM 2018

Paper Submission: January 17, 2018 (expired)
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Co-chairs

Gary Graham
University of Leeds
United Kingdom
 
Patrick Hennelly
Institute for Manufacturing, University of Cambridge
United Kingdom
 
Mukesh Kumar
Cambridge University Institute for Manufacturing
United Kingdom
 
Fosso Wamba Samuel
Toulouse Business School
France
 
Rashid Mehmood
King Abdul Aziz University
Saudi Arabia
 
Scope

The concept of smart cities has emerged on the background of issues associated with liveable condition of growing urban population and urban planning. Hence the characteristic of smart cities involves solutions for air pollution, human health, traffic congestions, outdated urban infrastructure etc. A majority of suggested solutions revolve around ‘Big Data’ and ‘Analytics’ typically based on digital telecommunication networks, intelligence gathering, sensors and software involving ICT infrastructure. However it appears that smart city economy assumes that the economic activities of smart cities will be based on services. They have largely ignored manufacturing activities in their conceptualisation and implementation of smart cities. This is of major concern when additive production technologies along with ‘Big Data’ and physical and digital infrastructures could provide huge economic potential for urban population livelihood. 





The International Workshop on
The Security and Digital Forensics of Cloud Computing
 - SeFoCloud 2018

Paper Submission: January 17, 2018 (expired)
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Co-chairs

Ahmed Alenezi
Northern Border University
Saudi Arabia
 
Gary Wills
University of Southampton
United Kingdom
 
Scope

Cloud computing is one of the fastest growing technologies in the field of computing. It is becoming more and more prevalent. Cloud computing has radically changed the way in which information technologies can be delivered. Although cloud computing has brought countless benefits to its consumers, these benefits can be misused for malicious purposes. While the literature in cloud computing in general is not scarce, a number of related topics are still rich areas for research, some of which are cloud security and forensics. Many of the challenges in the field of cloud security and forensics need further investigation. This workshop is aimed to contribute to this research on topics related to cloud security and forensics. 


Workshop on
Recent Advances in Machine Learning, Big Data Analytics, and Internet of Things
 - MLIoT 2018


* CANCELLED *


Co-chairs

Farshad Firouzi
IMEC/Katholieke Univ. Leuven
Germany
 
Bahar Farahani
Pirouzan Group
Iran, Islamic Republic of
 
Victor Chang
Xi'an Jiaotong-Liverpool University
China
 
Scope

In recent years, the Internet of Things (IoT), Machine Learning, and Big Data have grown at an exponential pace solving complex problems in different disciplinary fields such as healthcare, finance, business, transportation, etc. However, these innovations are not without their drawbacks. Many challenges related to computing, network, consistency, safety, reliability, etc. remain. In order to succeed in this technology, multidisciplinary research is needed, in addition to collaboration between academia and industry. This workshop will bring researchers and industrial partners together to examine and report state-of-the-art research on recent advances toward Big Data analytics, Machine Learning, and the Internet of Things.


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