How to secure autonomous mobile robots? An approach with fuzzing, detection and mitigation

Wang, Chundong; Tok, Yee Ching; Poolat, Rohini; Chattopadhyay, Sudipta; Elara, Mohan Rajesh

doi:10.1016/j.sysarc.2020.101838

Cited by 12 publications

(7 citation statements)

References 16 publications

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“…The testing results revealed that the presented risk mitigation strategies improve the safety aspect and the efficiency by 26% from the default setup. Wang et al presented the main security threats for autonomous mobile robots and how to overcome them [325]. As a result, RoboFuzz was presented to automatically perform directed fuzzing sensor values at appropriate occasions, leading robots to a compromised state.…”

Section: Artificial Intelligence-based Solutionsmentioning

confidence: 99%

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

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

122

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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: Artificial Intelligence-based Solutionsmentioning

confidence: 99%

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

Yaacoub

Noura

Salman

et al. 2021

Int. J. Inf. Secur.

122

View full text Add to dashboard Cite

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“…Maurtua et al [72] explored the semantic approach for multi-modal interaction between humans and industrial robots for enhancing the safety and naturalness of the real-time based human-robot collaboration in an industrial setting [72,73]. A lot of effort has been placed on the implementation of HRC systems in production lines [22]. Human guidance is a crucial feature of contemporary HRC used in production lines, as it allows the robot to be programmed intuitively [74,75].…”

Section: Industrial Robotic Systemsmentioning

confidence: 99%

“…The robotic networks are the nominal cyber-attack targets [22]. As a result, the robot's sensory readings can be manipulated to misguide the robot control system capabilities; the controller can also be attacked directly or even the data during their transfer to the motors; in all cases, the motor command will be wrong (see Figure 3).…”

Section: General Conceptmentioning

confidence: 99%

“…The safe and efficient control process is very significant for networked autonomous robots. Various studies have revealed how critical it can be for robot behavior during the fault of sensory readings or during networking problems [22]. In contrast to networked robots, many inexpensive semi-autonomous mobile robots are still performing activities using some set of pre-planned tasks, but their abilities are minimal.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Cybersecurity of Robotic Systems: Leading Challenges and Robotic System Design Methodology

Dutta

Zielińska

2021

Electronics

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Recent years have seen a rapid development of the Internet of Things (IoT) and the growth of autonomous robotic applications which are using network communications. Accordingly, an increasing advancement of intelligent devices with wireless sensors (that means autonomous robotic platforms) operating in challenging environments makes robots a tangible reality in the near future. Unfortunately, as a result of technical development, security problems emerge, especially when considering human–robot collaboration. Two abnormalities often compromise the basic security of collaborative robotic fleets: (a) Information faults and (b) system failures. This paper attempts to describe the methodology of a control framework design for secure robotic systems aided by the Internet of Things. The suggested concept represents a control system structure using blocks as the components. The structure is designed for the robots expected to interact with humans safely and act connected by communication channels. The properties of the components and relations between them are briefly described. The novelty of the proposed concept concerns the security mechanisms. The paper also categorizes two different modes of network attacks summarizing their causal effects on the human–robot collaboration systems. The issue of standardization is also raised. In particular, the works of the National Institute of Standards and Technology (NIST) and European Parliament (EP) on the security templates for communication channels are commented.

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“…Autonomous mobile robots that reduce manpower in the industry and increase system efficiency have attracted significant attention from the production industry, with the development of computer and software technologies and the Industry 4.0 industrial revolution [1][2]. Autonomous mobile robots have become tools used in many operations of the production industry today, including production lines and storage processes [3][4][5].Each component of robot systems consist of many mechanical and electrical systems has an ideal operating temperature [6].…”

Section: Introductionmentioning

confidence: 99%

Survey of air battery thermal management on the autonomous mobile robots

2023

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With the development of computer technologies and battery systems, mobile robot systems have gained an important place in our lives. Lithium-ion batteries, which attract attention for portable applications due to their high power output, light weight, and no memory effect, must operate in a limited temperature range in order to operate safely and for a long application life. This case makes it necessary to use battery thermal control systems that will provide temperature control for lithium-ion battery applications. Within the scope of our study, lithium-ion battery thermal management systems were investigated in detail. A detailed literature review was carried out on air thermal management systems, with their application and systemic convenience. Due to restricted packaging space for battery in mobile robots, cooling will be more challenging in the future. The air thermal management system, which has limited thermal management capability due to the low thermal properties of the air, is a thermal management method that will be sufficient especially for low-scale applications.

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How to secure autonomous mobile robots? An approach with fuzzing, detection and mitigation

Cited by 12 publications

References 16 publications

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

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

Cybersecurity of Robotic Systems: Leading Challenges and Robotic System Design Methodology

Survey of air battery thermal management on the autonomous mobile robots

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