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 special session 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.