Posts Tagged ‘intrusion detection’:

Research on Intrusion Detection Based on Feature Selection

Internet has brought convenience to people and also poses threats, and its explosive growth makes people face more and more network threats, and network security is becoming increasingly prominent.?Intrusion detection as a proactive and dynamic defense means of security is a strong complement to traditional security technologies.?However, with the enlargement of network data volume, information

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Application and Research of Fuzzy Clustering Mining Method Base on Genetic Algorithm

With information technology and database technology developing at very fast speed, information processing has become a indispensable tool for people to acquire useful message. Data mining is a generic knowledge discovery technology, it is a process of findingmodel and the relationship of the data in a large amount of data by analytical tools. Clustering analytical

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Study on Information Security for Resource Management System of Multisource Remote Sensing Data

As the rapid development of the technology of multi-source remote sensing, the application of remote sensing data has been used widely. This paper will research on network security of multi-source remote sensing system. The system is aiming at the application of the scattered remote sensing data, and it contains data query, order request, mission planning

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A Distributed Intrusion Detection Model Using BP Neural Network

With the rapid development of internet, computer network security issues become more and more serious. anti-virus software, firewall technology and intrusion detection technology for single host have been gradually revealed its limitations, especially for distributed intrusion. It has not met the needs of people to protect network security. Against this background and demand, the distributed

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IDS Model Based on Improved Clustering Algorithm

With the continuous development of network applications, in particular the diversification of hacking, network systems face a growing number of attacks and security issues. In order to effectively protect the network environment and the discovery of aggressive behavior in time, following the firewall, data encryption and other traditional security measures, intrusion detection security protection as

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Intrusion Detection Technology Based on Fast Neural Network

Computer resources and internet safety absolutely is one of the most attractive study areas in the world because of the wide spread of the computer, the high development of the internet and the fragility of the system. Attackers make use of the leaks, such as the leaks of the system software, the flaw caused by

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Mobile Communication Network Based on Real-time Monitoring System

Monitoring system in real life has been a large number of applications, schools, banks and other special departments and many public places are equipped with numerous surveillance cameras, security of these devices, data acquisition has played an important role. Their advantage is that the images in real time by controlling data collection and analysis staff

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Research on Intrusion Detection System Based on Protocol Analysis and SVM Multi-Classification

The rapid development and application of Internet brought us great convenience,but also opened the door for hackers, brought us a huge security risk. Facing thegrowing number of attacks, how to identify a variety of attacks, quickly, accurately andeffectively, is a pressing problem. We need urgently to develop a new intrusiondetection method to deal with the

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Research of Constructing an Intrusion Scenario with STATL

With the coming of the network age, while people are taking the advanges of its convinience, they are also suffering from the intruding attack.How to ensure the safety of the information transfered? How to find out the malicious intrusions in time? Because the attack method are successive、diversity and unpredictable,the simple network defence technology about Firewall

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Research of an Approach to Intrusion Detection Based on Attribute Reduction of Rough Set and Weighted SVM

As an active network security technology, intrusion detection can not only find outer intruders’attack, but also detect inner legal users’unauthorized operation. Hence, it is regarded as the second network security gate behind firewall. At present, many researchers have applied support vector machine(SVM) as a machine learning method to intrusion detection and obtained certain studying achievements.

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