Application of Network Security Event Correlation Analysis and Situation Evaluation Technology

Network security situational awareness can integrate all aspects of network security elements. Through correlation analysis, information fusion, situation prediction and other technologies to realize the intelligent analysis and comprehensive decision-making of complex information systems, network security situation awareness can improve the management efficiency and effect of complex networks. In order to solve the problem of parameter optimization of existing situation assessment methods, the parameters of SVM model are optimized based on Particle Swarm Optimization PSO algorithm. This paper presents a network security situation assessment method based on PSO and SVM. Using this algorithm can get a better balance between time-consuming and improving accuracy. At the same time, the index weight is determined according to grey correlation analysis, and the training samples are input to support vector machine for training. In this paper, the improved particle swarm optimization algorithm is used to optimize the parameters of support vector machine to improve the effect of situation assessment. Simulation test results show that the evaluation method improves the effectiveness and accuracy of situation assessment.

An Efficient Network Security Situation Assessment Method Based on AE and PMU

Network security situation assessment (NSSA) is an important and effective active defense technology in the field of network security situation awareness. By analyzing the historical network security situation awareness data, NSSA can evaluate the network security threat and analyze the network attack stage, thus fully grasping the overall network security situation. With the rapid development of 5G, cloud computing, and Internet of things, the network environment is increasingly complex, resulting in diversity and randomness of network threats, which directly determine the accuracy and the universality of NSSA methods. Meanwhile, the indicator data is characterized by large scale and heterogeneity, which seriously affect the efficiency of the NSSA methods. In this paper, we design a new NSSA method based on the autoencoder (AE) and parsimonious memory unit (PMU). In our novel method, we first utilize an AE-based data dimensionality reduction method to process the original indicator data, thus effectively removing the redundant part of the indicator data. Subsequently, we adopt a PMU deep neural network to achieve accurate and efficient NSSA. The experimental results demonstrate that the accuracy and efficiency of our novel method are both greatly improved.

Granice dozwolonej prowokacji w świetle art. 24 k.k.

The institution of provocation in criminal law is an extremely interesting phenomenon, for it may refer both to people who do not perform any public functions as well as to people who hold such a position. In this perspective, it was necessary to indicate in the article the origin of the word provocation and its etymology. Therefore, one conducted an analysis of various definitions and their components. One also indicated the origin of the eponymous institution and the examples manifested in international body of rulings. In a description of such phenomena as provocation, it is necessary to indicate the responsibility of the person who commits the offence(s) mentioned in Art. 24 of the Penal Code. An interesting element has to do with the indication – in one of the subchapters – of the utilisation of provocation in operation- and situation assessment-related activities, which are a result of the act of law about the Police and about other services. Finally, one should ask oneself the question about the extent to which one may shift the application of regulations about responsibility, considering the catalogue of institutions which may employ such technique(s)? Therefore, should not one delimit the scope of the competence of organs such as the Public Prosecutor General/Minister of Justice, in order to enhance the efficiency of the system which was mentioned above? The conclusion of the article constitutes an attempt at answering the question about the aforementioned questions and to consider the plausibility of the combining these positions in the context of the subject which is discussed.