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A Real-Time And Adaptive-Learning Malware Detection Method Based On Api-Pair Graph, Shaojie Yang, Shanxi Li, Wenbo Chen, Yuhong Liu
A Real-Time And Adaptive-Learning Malware Detection Method Based On Api-Pair Graph, Shaojie Yang, Shanxi Li, Wenbo Chen, Yuhong Liu
Computer Science and Engineering
The detection of malware have developed for many years, and the appearance of new machine learning and deep learning techniques have improved the effect of detectors. However, most of current researches have focused on the general features of malware and ignored the development of the malware themselves, so that the features could be useless with the time passed as well as the advance of malware techniques. Besides, the detection methods based on machine learning are mainly static detection and analysis, while the study of real-time detection of malware is relatively rare. In this article, we proposed a new model that …
Agents For Smart Power Grids, Salem Al-Agtash, Hossam Abdel Hafez
Agents For Smart Power Grids, Salem Al-Agtash, Hossam Abdel Hafez
Computer Science and Engineering
The future of electricity systems will compose of small-scale generation and distribution where end-users will be active participants with localized energy management systems that are able to interact on a free energy market. Software agents will most likely control power assets and interact together to decide the best and safest configuration of the power grid system. This paper presents a design of agents that can be deployed in real-time with capabilities that include optimization of resources, intensive computation, and appropriate decision-making. Jordan 51-bus system has been used for simulation with a total generation capacity of 4050 MW of which 230 …