Adaptive Authentication Technologies in Behavioral Analysis Solutions of Robotic Systems
- DOI
- 10.2991/iwci-19.2019.9How to use a DOI?
- Keywords
- authentication; systems of behavioural analysis; adaptive systems; robotic system; DLP; SIEM; UEBA; user's profile; incident; OTP password; information security
- Abstract
The paper considers some common aspects of the design of adaptive authentication technology that acts as an executive mechanism in the event of incidents recorded by systems of intelligent control and monitoring. In particular, the author considers in detail the class of User and Entity Behaviour Analytics systems representing an intelligent analytical layer over existing technologies of security and allowing one to identify the deviations in the behaviour of users, and prioritize the recorded incidents. The paper considers in detail the area of application of adaptive authentication technologies in robotic systems. The urgency of the perfection of modern agent authentication methods in mobile robotic groups is defined by the prompt growth of propagation of group robotics in the solution of a wide spectrum of tasks. As a response to the found anomalies in the behaviour of a mobile robotic group agent, it is offered to carry out an additional procedure of authentication, selecting the technique of additional authentication according to the type of the found anomaly and previously constructed profile of a certain subject of access.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Andrey Iskhakov PY - 2019/09 DA - 2019/09 TI - Adaptive Authentication Technologies in Behavioral Analysis Solutions of Robotic Systems BT - Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019) PB - Atlantis Press SP - 49 EP - 54 SN - 1951-6851 UR - https://doi.org/10.2991/iwci-19.2019.9 DO - 10.2991/iwci-19.2019.9 ID - Iskhakov2019/09 ER -