HoneyBot: A Honeypot for Robotic Systems

Irvene, Celine; Formby, David; Litchfield, Samuel; Beyah, Raheem

doi:10.1109/jproc.2017.2748421

Cited by 28 publications

(20 citation statements)

References 12 publications

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“…Therefore, different honeypot systems were presented in the literature. To solve robotic issues and problems, Irvene et al introduced a "HoneyBot" [318]. This HoneyBot is based on a hybrid interaction honeypot which is designed specifically for robot systems.…”

Section: Honeypots Security Solutionsmentioning

confidence: 99%

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

141

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The recent digital revolution led robots to become integrated more than ever into different domains such as agricultural, medical, industrial, military, police (law enforcement), and logistics. Robots are devoted to serve, facilitate, and enhance the human life. However, many incidents have been occurring, leading to serious injuries and devastating impacts such as the unnecessary loss of human lives. Unintended accidents will always take place, but the ones caused by malicious attacks represent a very challenging issue. This includes maliciously hijacking and controlling robots and causing serious economic and financial losses. This paper reviews the main security vulnerabilities, threats, risks, and their impacts, and the main security attacks within the robotics domain. In this context, different approaches and recommendations are presented in order to enhance and improve the security level of robotic systems such as multi-factor device/user authentication schemes, in addition to multi-factor cryptographic algorithms. We also review the recently presented security solutions for robotic systems.

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Section: Honeypots Security Solutionsmentioning

confidence: 99%

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

141

View full text Add to dashboard Cite

show abstract

“…The most critical component of a security tool is the ability to discover new vulnerabilities in a system. There have been several previous research endeavors to detect vulnerabilities for ROS systems, including static code analysis [24] [42], property-based testing [41], Honeypots [19] [29] , and fuzzing [18] [44]. All of these disjointed techniques yield valuable insights into the security of a robotic system, and as such, any integrated security system must make full use of them.…”

Section: Robustness Assessmentmentioning

confidence: 99%

ROS-Immunity: Integrated Approach for the Security of ROS-enabled Robotic Systems

Rivera¹,

Iannillo²,

State³

2020

Preprint

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The Robotic Operating System (ROS) is the de-facto standard for the development of modular robotic systems. However, ROS is notorious for the absence of security mechanisms, only partially covered by recent advancements. Indeed, an attacker can easily break into ROS-enabled systems and hijacks arbitrary messages. We propose an integrated solution, ROS-Immunity, with small overhead that allows ROS users to harden their systems against attackers. The solution consists of three components: robustness assessment, automatic rule generation, and distributed defense with a firewall. ROSImmunity is also able to detect on-going attacks that exploit new vulnerabilities in ROS systems. We evaluated our solution against four use-cases: a self-driving car, a swarm robotic system, a centralized assembly line, and a real-world decentralized one. ROS-Immunity was found to have minimal overhead, with only an additional 7-18% extra system power per robot required to operate it. Furthermore, ROS-Immunity was able to prevent a wide variety of ROS system attacks with a worst-case false positive rate of only 17% and a typical false positive rate of 8%. Finally, ROS-Immunity was found to be able to react to and stop attackers after at most 2.4 seconds, when confronted with unknown vulnerabilities.

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“…The application of honeypots in CPS is a growing area of research. Irvene et al present an example of a honeypot for a robotic vehicle [8], where they fool an attacker into believing that a given attack was successful by simulating unsafe actions within a honeypot environment of the protected robotic system. For ICS, Rubio et al [13] present, among other intrusion detection solutions, a commercial use case of a honeypot solution developed for the acquisition and analysis of information related to a threat or attack against an ICS.…”

Section: Pymentioning

confidence: 99%

“…Currently, the two most popular open-source SDN controllers are OpenDaylight 7 and ONOS 8 . The former is supported by the Open-Source Foundation, while the latter is supported by the Open Networking Foundation.…”

Section: Sdn Controllersmentioning

confidence: 99%

Enhancing the Resiliency of Cyber-Physical Systems with Software-Defined Networks

Salazar

Cárdenas

2019

Proceedings of the ACM Workshop on Cyber-Physical Systems Security &Amp; Privacy - CPS-SPC'19

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Numerous research efforts have focused on intrusion detection in industrial control networks, however, few of them discuss what to do after an intrusion has been detected. Because the safety of most of these control systems is time-sensitive, we need new research on automatic incident response. In this paper, we extend our work on leveraging Software-Defined Networking (SDN) to automatically reconfigure an industrial control network to mitigate the impact of attacks, and to deceive adversaries. CCS CONCEPTS • Security and privacy → Intrusion detection systems; Network security; Domain-specific security and privacy architectures; • Networks → Programmable networks; • Applied computing → Industry and manufacturing.

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HoneyBot: A Honeypot for Robotic Systems

Cited by 28 publications

References 12 publications

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

ROS-Immunity: Integrated Approach for the Security of ROS-enabled Robotic Systems

Enhancing the Resiliency of Cyber-Physical Systems with Software-Defined Networks

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