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

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.
Topics of Interest
Topics of interest include (but are not limited to):
Operating System, Applications and Protocols Design, and Validation Techniques for Internet of Things
Enabling Technologies for Social Internet of Things
Cybersecurity and Privacy approaches such as Honeypots, Honeynets and Honeypatches, Deception-based approaches, Encrypted Computing and Secure Computation, Active and Passive Cybersecurity, Privacy-Enhancing Technologies, Intelligence and Counter-Intelligence
Cyber Security and Biometrics in the IoT Era
Cyber-security Settings
Security and Privacy in Cyber-Physical Systems
Information and Resource Management Systems for Internet of Things
Fusion for different services and its impacts in the IoT era
Intelligent Algorithms and Standards for Interoperability in Internet of Things
Communications, collaborations, and services in networks of embedded devices
High-Performance Services Computing and Internet Technologies
Emerging Services Science for Cloud Computing
Autonomous Cloud
Relational and Non-relational big data stores
Artificial Intelligence and Machine Learning for Internet of Things
Data analytics for cybersecurity such as Predictive Cybersecurity, Event Analysis, Event Attribution and Cyber-Forensics)
Intelligent Security and Optimization in Edge/Fog Computing
Innovative Network for Data Intensive Science
Cognitive Internet of Things Assisted by Cloud Computing and Big Data
Intelligent Sensing and Applications for Cyber-Physical Systems
IoT-specific approximate architecture and micro-architecture design, exploration and optimization
Brain-inspired and neuromorphic components, circuits, and systems for IoT
Smart Data in Future Internet Technologies and Cloud Computing
Affective Computing in Ambient Intelligence Systems
Technological innovations in Digital transformation
Edge of the Cloud
Novel edge computing-inspired approaches and paradigms for mobile IoT applications
High-Performance Services Computing and Internet Technologies
Blockchain and Decentralization for Internet of Things
Accountability and Privacy Issues in Blockchain and Cryptocurrency
Cloud and Fog Computing for Smart Cities Data Analytics and Visualization
Landscapes of the Data Stream Processing in the era of Fog Computing
Big Data for Context-Aware Applications and Intelligent Environment
Computation Intelligence for Energy Internet
Fog and Cloud Computing for Cooperative Information System management
Benchmarking IoT and Big Data Systems
Cybersecurity metrics
Human/Societal issues (e.g., Legal and Policy Topics related to Cybersecurity and Privacy, Human Factors in Cybersecurity and Privacy, Inter-Organizational Cyber-Threat Information Sharing)
Other security topics such as System Situational Awareness, Emerging Threats, Malware Analysis, Event Recovery, Security as a Service (SaaS), Privacy as a Service (PaaS)
Case studies of successful IoT systems (eHealth, Smart City, etc.)
IMPORTANT DATES
Paper Submission: January 26, 2018 (extended)
Authors Notification: January 30, 2018
Camera Ready and Registration: February 2, 2018
WORKSHOP PROGRAM COMMITTEE
An Braeken, Vrije Universiteit Brussel, Belgium
Ishbel Duncan, University of St. Andrews, United Kingdom
Jaclyn Kerr, Stanford University; Lawrence Livermore National Laboratory, United States
Xenofon Koutsoukos, Vanderbilt University, United States
Devu MANIKANTAN, United Technologies Research Center, United States
Giovanni Pau, Kore University of Enna, Italy
Kurt Rohloff, New Jersey Institute of Technology, United States
Paulo Simoes, University of Coimbra, Portugal
Pawel Szalachowski, Singapore University of Technology and Design, Singapore