Intelligent Access Control Design for Security Context Awareness in Smart Grid

Recently, damages such as internal system intrusion, network and device vulnerability attacks, malicious code infection, and information leakage due to security attacks are increasing within the smart grid environment. Detailed and dynamic access control must be implemented to enable the power system in the smart grid environment to respond to such attacks. Dynamic and partial delegation must be available, and permission role restrictions must be considered for dynamic access control when delegating a role because of changes in power resource manager authority. In this paper, we propose an intelligent access control framework that can recognize security context by analyzing security vulnerabilities for security management of power systems. The intelligent access control framework is designed as a framework that enables collaboration within the smart grid environment, and a system administrator is designed to transmit access control policy information required between the power service principal and the agent. In addition, an experiment is conducted for the control inference of security context ontology-based access, attack detection inference of the security context awareness service, and the attack response of the intelligent integrated access control system. Experimental results show that the precision of security context ontology-based access control inference is 70%, and the attack response rate of integrated access control is 72.8%.

Riyadh signals intent to buy time in attack response

Headline SAUDI ARABIA: Riyadh to buy time in attack response

Factors that affect the timing of the dispatch of initial attack resources to forest fires in northeastern Ontario, Canada

The success of forest fire initial attack systems is believed to be affected by many factors including the initial attack response time. Despite the fact that fire managers typically strive to dispatch initial attack resources to most fires soon after they are reported in order to minimise their response time, they may not always be able to do so as the timing of the initial attack dispatch can be influenced by many factors. We examine the effects of the following factors on the initial attack dispatch process: the daily fire load (the number of fires reported each day), the time of day the fire was reported, fire weather conditions, fire cause and the month of the fire season, on the probability that initial attack resources are dispatched on the day that a fire is reported. Logistic regression methods are used to analyse a dataset composed of 4532 forest fires that were reported in our study area in a portion of northeastern region of Ontario, Canada, during 1963–2012 fire seasons. Our results indicate that the time of day a fire is reported, the total number of fires reported on that day and the Initial Spread Index are key factors that influence the timing of the initial attack response in our study area.