Application-Level Autonomic Hardware to Predict and Preempt Software Attacks on Industrial Control Systems

Lerner, Lee W.; Franklin, Zane R.; Baumann, William T.; Patterson, Cameron

doi:10.1109/dsn.2014.26

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…Lerner et al [15] have developed a trusted hardware system with a software simulator that predicts the output signals of a production programmable logic controller. If inconsistencies are observed between the predicted and actual outputs of the programmable logic controller, the trusted system takes over and produces the correct output signals.…”

Section: Related Workmentioning

confidence: 99%

Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers

Chan

Chow

Yiu

et al. 2018

Advances in Digital Forensics XIV

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Industrial control systems are used to monitor and operate critical infrastructures. For decades, the security of industrial control systems was preserved by their use of proprietary hardware and software, and their physical separation from other networks. However, to reduce costs and enhance interconnectivity, modern industrial control systems increasingly use commodity hardware and software, and are connected to vendor and corporate networks, and even the Internet. These trends expose industrial control systems to risks that they were not designed to handle.This chapter describes a novel approach for enhancing industrial control system security and forensics by adding monitoring and logging mechanisms to programmable logic controllers, key components of industrial control systems. A proof-of-concept implementation is presented using a popular Siemens programmable logic controller. Experiments were conducted to compare the accuracy and performance impact of the proposed method versus the conventional programmable logic controller polling method. The experimental results demonstrate that the new method yields increased anomaly detection coverage and accuracy with only a small performance impact. Additionally, the new method increases the speed of anomaly detection and reduces network overhead, enabling forensic investigations of programmable logic controllers to be conducted more efficiently and effectively.

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Section: Related Workmentioning

confidence: 99%

Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers

Chan

Chow

Yiu

et al. 2018

Advances in Digital Forensics XIV

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“…Our previous work introduced formally verified applicationspecific configurable hardware to counter software reconfiguration attacks [8]. Erroneous behavior of the controller is identified by running a model of the plant in accelerated mode to forecast the future behavior [9].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a security framework for industrial control systems

Harshe

Chiluvuri

Patterson

et al. 2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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We address the problems of network and reconfiguration attacks on an industrial control system (ICS) by describing a trustworthy autonomic interface guardian architecture (TAIGA) that provides security against attacks originating from both supervisory and plant control nodes. In contrast to the existing security techniques which attempt to bolster perimeter security at supervisory levels, TAIGA physically isolates trusted defense mechanisms from untrusted components and monitors the physical process to detect an attack. Trusted components in TAIGA are implemented in programmable logic (PL). Our implementation of TAIGA integrates a trusted safety-preserving backup controller, and a mechanism for preemptive switching to a backup controller when an attack is detected. A hardware implementation of our approach on an inverted pendulum system illustrates how TAIGA improves resilience against software reconfiguration and network attacks.

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A Bio-immunology Inspired Industrial Control System Security Model

Chitauro

Muyingi

John

et al. 2019

First International Conference on Sustainable Technologies for Computational Intelligence

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Application-Level Autonomic Hardware to Predict and Preempt Software Attacks on Industrial Control Systems

Cited by 9 publications

References 8 publications

Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers

Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers

Design and implementation of a security framework for industrial control systems

A Bio-immunology Inspired Industrial Control System Security Model

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