10th Annual International Conference on Industrial Engineering and Operations Management

Combating the Impact of Advanced Persistent Threats in Industrial Internet of Things (IIoT)

Wazir Khan
Publisher: IEOM Society International
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Track: Industrial 4.0
Abstract

Industry 4.0 or Industrial Internet of Things (IIoT) with its intelligent monitoring and controlling applications and predictive and preventive maintenance of industrial equipment is capable of collecting and analyzing a large amount of data, achieving high operational efficiency, increased productivity, and better management of industrial assets and processes. However, the connected industrial assets have increased exposure to the new cyber-physical risks including Targeted Attacks or Advanced Persistent Threats (APTs) that are on the rise and have emerged as the most complicated Multi-Stage Attacks, hitting the industrial companies and governmental organizations. APTs that are designed with a particular motive, are sophisticated, professional, state supported and systematic cyber-attack programs in which an attacker is motivated, skilled, organized and well-funded. The existing cyber security intrusion detection techniques and traditional defensive mechanisms are no longer sufficiently effective against APTs which is the most worrisome situation and thus, novel and more effective solutions are required to predict, detect and mitigate APT threats. APTs are a global scourge and a challenging targeted attack so today in this speech we will discuss APT attacks and their characteristics particularly in case of oil and gas industries. Moreover, we would also discuss prevention and detections methods devised for countering APTs as well as some

Published in: 10th Annual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates

Publisher: IEOM Society International
Date of Conference: March 10-12, 2020

ISBN: 978-1-5323-5952-1
ISSN/E-ISSN: 2169-8767