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In this paper, we aim to solve the problem of neural network in computer network security assessment, which is very important for computer network's popularization. Our proposed computer network security assessment system contains client and server. The client module includes: 1) scanning configuration model, 2) assessment model, 3) scanning result database model and 4) output model. Furthermore,...
Computer crime is a kind of high-tech crime, it is intelligent and hidden and the traditional internet security technologies cannot be survived with. Therefore, relevant laws and regulations need to be establishing and people's security awareness should be enhance as soon as possible. This is how computer forensics comes is born. Computer forensics is a combination of technologies including obtaining,...
A resilient system is designed to survive and recover from failure or attack. Evaluating resilience strategies for a computer network is difficult because their effectiveness depends on numerous, complex, and interacting factors. This paper presents a simulation prototype for experimenting with resilience strategies, demonstrates scoring metrics for comprehensive evaluations, and highlights simulation...
Network confrontation system cultivates confrontation talents and increases confrontation standards. In this article, we research and design a kind of network confrontation training simulation system, discussing the relevant subsystems from the aspect of the key technology and its realization, including interactive confrontation simulation system, confrontation training simulation supported software...
From the network birth to the vigorous development, as well as many concomitant security problems, all symbolized the network developing process approaches the ecological organization evolution process. But today's tradition network security defense architecture is exposing the mechanical and stiff malpractice gradually, which is unable to deal with a variety of the security threats that are latent...
At present, the focus of network security research mainly centers on the increase of detection ability of a single detection tool. For example, improve the accuracy and detection efficiency of firewall and intrusion detection system but despise the defense ability of the whole network system. This paper puts forward the concept of network active defense system and emphatically analyzes its architecture,...
For assessing the security and optimal strengthening of large enterprise networks, this paper proposes a new approach uses configuration information on firewalls and vulnerability information on all network devices to build defense graphs that show the attack and defense strategy. Some models including a defense graph model, attack-defense taxonomy and cost quantitative model, and Attack-Defense Game...
With the progression of time, we have been blessed with the gifts of science. Computer networks are one of those gifts. But as the network proceeded, intrusions and misuses followed. Consequently, network security has come to the fore front and has become one of the most important issues. Now-a-days intrusion detection systems have become a standard component in security infrastructures. Intrusions...
This paper describes a forensic logging system that collects fine-grained evidence from target servers and networks. For the logging system, we developed a TCSEC-B1 level secure operating system and a dedicated network processor that collects network traffic. The logging system is also capable of protecting servers from malicious attacks as well as allowing security managers to obtain forensic evidences...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
A honeypot is a type of information system that is used to obtain information on intruders in a network. When a honeypot is deployed in front of a firewall, it can serve as an early warning system. When deployed behind the firewall, it can serve as part of a defense-in-depth system and can be used to detect attackers who bypass the firewall and the intrusion detection system (IDS) or threats from...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
Hashing algorithms have been widely adopted to provide a fast address look-up process which involves a search through a large database to find a record associated with a given key. Modern examples include address-lookup in network routers for a forwarding outgoing link, rule-matching in intrusion detection systems comparing incoming packets with a large database, etc. Hashing algorithms involve transforming...
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