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Along with the rapid development of electronic commerce and the increasing Internet users, the market of electronic auction has expanded. However, online auction centers remain to be an insecure environment and the bidderspsila identities and private information may still be under threat by malicious hackers. To consider account security, among the main rules of online electronic auction is that the...
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...
Many governments have delivered their services in ways that meet the desires of the citizens and businesses they serve, enabling them to interact securely in places and at times that are convenient for them. E-government is one of the most important achievements of the Internet. Successfully implementing e-government requires a level of trust on the part of all transaction parties. There are several...
Ensuring public security is an important issue for every government, and effective public security depends on the efficiency of criminal justice processes and procedures. The procedures of the criminal justice may be viewed as the upper-, middle-, and down-stream sections of a supply chain. Like their business counterparts, most law enforcement agencies have to deal with logistics, information flow,...
This paper modifies an elegant data hiding method of Chang et alpsilas [Pattern Recog. Lett. 2004, vol. 25, no. 11, 1253-1261]. The embedding employs a modified search-order coding (SOC) technique to hide binary secret data in the vector quantization (VQ) index file of a host image. The recovered host image is identical to the one recovered by traditional VQ; the compression rate is competitive to...
Signature-based anti-viruses are very accurate, but are limited in detecting new malicious code. Dozens of new malicious codes are created every day, and the rate is expected to increase in coming years. To extend the generalization to detect unknown malicious code, heuristic methods are used; however, these are not successful enough. Recently, classification algorithms were used successfully for...
Recently, Lee et al. proposed a remote authentication model of information appliances (RAMIA). Unfortunately, RAMIA has a fatal error that opens the entire home network of information appliances to hackers. In this paper, we propose a new secure remote control model for information appliances (SRCMIA) to fix this error. Besides, our model can also achieve both message authentication and one-time secret...
It is necessary to analyze the anti-terrorism performance of Taiwanpsilas security system after September 11, 2001 attacks. We use three stage data envelopment analysis model that Fried et al. (2002) developed, getting intelligence performance of the Investigation Bureau of the Ministry of Justice, to discuss the ability of anti-terrorism in Taiwanpsilas national security system. Putting 10 outputs,...
Several vulnerability analysis techniques in web-based applications detect and report on different types of vulnerabilities. However, no single technique provides a generic technology-independent handling of Web-based vulnerabilities. In this paper we present our experience with and experimental exemplification of using the application vulnerability description language (AVDL) to realize a unified...
Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recognition and event detection. In this work, we present a point spread function-based (PSF-based) approach considering fundamental characteristics of linear motion and out-of-focus blur based on geometric optics to restore coexisting motion...
This paper describes how we can use existing mobile technology to track the vehicle. Here the embedded system along with the mobile is used to prevent the vehicle from being stolen and also if the vehicle is stolen then its location can be tracked. Mobile technology is the fastest growing communication mode. In todaypsilas mobile technology we all are acquainted with short message service (SMS). In...
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...
This study centers on multiple-scheme encryption using annotation technology. The objective was to propose a composite encryption framework that combines several encryption specifications. It was assumed that combining several encryption standards can further enhance information security. It divided a message to be encrypted into packets and each packet was coded with a methodology independent of...
This paper investigates and simulates a coloured stochastic Petri nets model for depth evaluation intrusion detection. Network attack behaviors are very complexity sometimes, it is difficult to capture all of them. In this paper, we could realize what them happened with analyzing and simulating an intrusion. The experimental results demonstrated that the CSPN model approach was an efficient and helpful...
A critical infrastructure (CI) consists of those physical and information technology facilities, networks, services and assets which, if disrupted or destroyed, have a serious impact on the health, safety, security or economic well-being of citizens or the effective functioning of governments. Nowadays, the operation controls of these infrastructures have been computerized and have gradually become...
This paper proposed a two layer authorization mechanism, including traditional password system and rhythm recognition. The whole system includes two phases: preprocessing and usual operation for users. In preprocessing phase, users type password in a specific rhythm in order to record and analyse the characteristics of behaviour of users. In the second phase, how to verify a user in usual operation...
In a real world, it is often in a group setting that sensitive information has to be stored in databases of a server. Although personal information does not need to be stored in a server, the secret information shared by group members is likely to be stored there. The shared sensitive information requires more security and privacy protection. To our best knowledge, there is no paper which deals with...
In this article, we propose a general-purpose disaster support system based on generalized (multiplicatively-weighted order-k Minkowski-metric) Voronoi diagrams. The proposed system is capable of handling disasters (or emergency units) having different weights in the complete order from 1 to k in the three popular Minkowski metrics (Euclidean, Manhattan and Maximum distance space). The proposed model...
As digital resources increasingly growing and the economic benefit of digital intellectual property rights being increasingly important, people has been increasingly emphasis on information security issues brought by the data remnants in storage devices. They try their best to prevent the potential risks. In this paper, we survey comprehensively related technologies, standards and trends of erasure,...
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...
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