HOME / Network security equipment situational awareness machine - Umele Photonics & Micro-Optics Europe
This paper introduces a big data-driven network security situational awareness and early warning architecture, proposing a more effective network protection mechanism and providing
Towards addressing systems'' vulnerabilities and alleviating the impact of these threats, this paper presents a machine learning based situational awareness framework that detects existing
Network security situational awareness is an important method for assessing the status of network security and predicting the future direction of network development.
Situational awareness (SA) is defined as the perception of entities in the environment, comprehension of their meaning, and projection of their status in near future. From an Air Force
In addition, this paper introduces the origin, concept and the model of the network situational awareness, as well as the characteristics of network security situational awareness based
Network security situation awareness is an essential part of network security defense that allows cybersecurity operators to cope with the complexity of today''s networks and threat landscape.
Nowadays, network security situational awareness active defense technology based on machine learning has become one of the key research topics in the field of cybersecurity.
In the basic part of the research, a security situation awareness model based on network intelligence analysis is proposed, the working principle of the model is elaborated, and how to
Abstract: Network security situational awareness is based on the extraction and analysis of big data, and by understanding these data to evaluate the current network security status and predict
Research on network security situation prediction and visualization, grounded in security situation awareness, is paramount in today''s digital landscape. This study delves into various
The application of situational awareness technology is to establish an “immune” system in cyberspace, through all-weather and all-round awareness of cyber threats, especially for deep
The research results of this project will provide new ideas for network security situational awareness, and provide theoretical basis for improving the overall transmission performance of the network and
Traditional network security situation awareness models are predominantly software-based, neglecting the intensive I/O overhead in big data network environments. Such approaches fail
In this paper, the research of network security situation awareness based on neural network is carried out, aiming to realize the comprehensive monitoring and early warning of network
On the basis of extracting the degree of dissimilarity, in this paper, the fusion-based method is used to generate the attack trajectory, thus forming the multisource data fusion and
Network security situation awareness has the characteristics of real-time, efficiency, and accuracy [5-7]. Firstly, the technology can assist network security systems in timely identification and
The existing information security situation awareness technology mostly uses RBF (RBF) radiation basis functions to extract information, which is susceptible to changes in the time domain threshold of
Support vector machine is a common ML method, which can predict the security of the network well after training and testing. In order to monitor the overall security status of the entire
With the rapid development of technology, the network environment is becoming increasingly complex, and security issues are becoming more prominent. Network security situational awareness is an
The network security situational awareness system analyzes and predicts the current state and development trend of the network by collecting security data such as network traffic, security
In order to cope with increasingly complex network security issues, traditional rule-based network security monitoring techniques cannot predict unknown network intrusion methods. Cyber
Starting from the method of machine learning, it specifically introduces the research status of neural-network-based network security situational awareness and summarizes the research
Based on machine learning, this paper elaborates the network security situation awareness technology, including data mining technology, feature extraction technology and situation prediction technology.
Data is stored in HDFS, Hive, and HBase, analyzed using LSTM networks, and real-time information is correlated to predict threats and generate warnings. This big data-driven network
In response to the increasing number and forms of network attacks, different types and names of network security situational awareness models have received widespread attention and research...
Network security situation awareness (NSSA) is an integral part of cybersecurity defense, and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber threats.
Generally speaking, there is a lot of room for improvement in the identification and handling of security risks when machine learning is used to network security situational awareness.