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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...
The well-know binary method is a generally acceptable method for modular exponentiation in public-key cryptosystems. In this paper, we propose a new binary exponentiation algorithm, which is based on common-multiplicand method, Montgomery modular reduction algorithm, signed-digit recoding technique, and binary exponentiation algorithm. The common-multiplicand technique is developed to solve the problem...
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...
Classification of the numerical data is a very important research topic in machine learning. But the incomplete data is very common in real world application. And the existence of incomplete data degrades the learning quality of classification models. But the existence of incomplete data always decrease the quality of classification models, To show the definition of missing data more intuitively,...
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts...
Intelligent surveillance systems have become an important research issue recently. They can provide an early warning or help us to retrieve interested video frames. The motion detection techniques play an important role in these two applications. In this paper, we propose an effective surveillance video retrieval method based upon the motion detection technology. We can use this method to search frames...
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 models for deception in text, based on changes in usage frequency of certain classes of words, have been proposed. These are empirically derived from settings in which individuals are asked to lie or be truthful in freeform text. We consider the problem of detecting deception in testimony, where the content generated must necessarily be responsive to questions, where there is the opportunity...
This work presents preliminary results of a case study of intergenerational communication through video blogging, following a 79-year old blogger and the responses from his younger readers. An open, non-patronizing and direct form of intergenerational communication was observed, which fits into the stereotype activation model of communication framework. We report on the motivations and nature of interaction...
With the emergence of the interactive use of the Internet especially during the course of the past decade, netizens have started to create a ldquospace-lessrdquo public sphere. This is an ldquoonlinerdquo arena where the utopian Habermasian conceptualization of an open and interactive public discussion of issues of public interest is materialized. Blogs in particular exemplify the global, interactive...
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...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
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...
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