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Computer Security has been discussed and improvised in many forms and using different techniques as well as technologies. The enhancements keep on adding as the security remains the fastest updating unit in a computer system. In this paper we propose a model for securing the system along with the network and enhance it more by applying machine learning techniques SVM (support vector machine) and ANN...
The intrusion detection systems (IDS) are designed to identify unwanted attempts at manipulating, accessing or disabling of computer systems, mainly through a network, such as the Internet. Additionally, the IDSs can perform other functions like intrusion prevention (IPS), including proactive functions. A recurrent problem in intrusion detection systems is the difficulty to distinguish legitimate...
It is necessary to study a kind of network intrusion detection method which realizes faster attack detection and response. In order to improve the network intrusion detection precision further, Network intrusion detection method based on Agent and SVM is proposed to recognize the intrusion types in the paper. The network intrusion detection system based Agent and SVM are created. Then, network Intrusion...
In order to share the knowledge of intrusion among distributed hosts and make the intrusion detect packages more efficient and reliable, a framework of distributed incremental intrusion detection based on SVM is proposed in the study. In this framework, the locate SVM detects the local attacks and take charge of collecting the new typical samples. A center SVM summarizes the distributed samples and...
Aimed at the network intrusion behaviors are characterized with uncertainty, complexity, diversity and dynamic tendency and the advantages of support vector machine (SVM), an intrusion detection method based on classify SVM is presented in this paper. The SVM network structure for intrusion detection is established, and use the genetic algorithm (GA) to optimize SVM parameters, thereby enhancing the...
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