Visible to the public Biblio

Filters: Keyword is Robotic system  [Clear All Filters]
2020-12-17
Basan, E., Gritsynin, A., Avdeenko, T..  2019.  Framework for Analyzing the Security of Robot Control Systems. 2019 International Conference on Information Systems and Computer Science (INCISCOS). :354—360.

The purpose of this work is to analyze the security model of a robotized system, to analyze the approaches to assessing the security of this system, and to develop our own framework. The solution to this problem involves the use of developed frameworks. The analysis will be conducted on a robotic system of robots. The prefix structures assume that the robotic system is divided into levels, and after that it is necessary to directly protect each level. Each level has its own characteristics and drawbacks that must be considered when developing a security system for a robotic system.

2020-04-13
Rivera, Sean, Lagraa, Sofiane, Nita-Rotaru, Cristina, Becker, Sheila, State, Radu.  2019.  ROS-Defender: SDN-Based Security Policy Enforcement for Robotic Applications. 2019 IEEE Security and Privacy Workshops (SPW). :114–119.
In this paper we propose ROS-Defender, a holistic approach to secure robotics systems, which integrates a Security Event Management System (SIEM), an intrusion prevention system (IPS) and a firewall for a robotic system. ROS-Defender combines anomaly detection systems at application (ROS) level and network level, with dynamic policy enforcement points using software defined networking (SDN) to provide protection against a large class of attacks. Although SIEMs, IPS, and firewall have been previously used to secure computer networks, ROSDefender is applying them for the specific use case of robotic systems, where security is in many cases an afterthought.
2019-02-08
Clark, G., Doran, M., Glisson, W..  2018.  A Malicious Attack on the Machine Learning Policy of a Robotic System. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). :516-521.

The field of robotics has matured using artificial intelligence and machine learning such that intelligent robots are being developed in the form of autonomous vehicles. The anticipated widespread use of intelligent robots and their potential to do harm has raised interest in their security. This research evaluates a cyberattack on the machine learning policy of an autonomous vehicle by designing and attacking a robotic vehicle operating in a dynamic environment. The primary contribution of this research is an initial assessment of effective manipulation through an indirect attack on a robotic vehicle using the Q learning algorithm for real-time routing control. Secondly, the research highlights the effectiveness of this attack along with relevant artifact issues.

2018-02-21
Qin, Yunchuan, Xiao, Qi.  2017.  Polynomial-based Key Management Scheme for Robotic System. Proceedings of the 8th International Conference on Computer Modeling and Simulation. :105–108.

With the robots being applied for more and more fields, security issues attracted more attention. In this paper, we propose that the key center in cloud send a polynomial information to each robot component, the component would put their information into the polynomial to get a group of new keys using in next slot, then check and update its key groups after success in hash. Because of the degree of the polynomial is higher than the number of components, even if an attacker got all the key values of the components, he also cannot restore the polynomial. The information about the keys will be discarded immediately after used, so an attacker cannot obtain the session key used before by the invasion of a component. This article solves the security problems about robotic system caused by cyber-attacks and physical attacks.