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680 articles for “security”
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Research ArticleOpen accessIn the abstractSecure Antnet Routing Algorithm for Scalable Adhoc Networks Using Elliptic Curve CryptographyV. Vijayalakshmi, T. G. PalaniveluThe secure end-to-end route discovery in the decentralized Mobile Adhoc Networks (MANETs) should have to meet the requirements of prevention of DoS attacks on data traffic, should be adaptive and fault tolerant and must have high speed, low energy overhead and scalability for future development. In this research a secure routing using antnet mechanism and mutual authentication using Elliptic Curve … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association RulesJ. Indumathi, G.V. UmaThe explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage around of earlier unidentified hidden patterns. Consecutively to make a overtly accessible system safe and sound, we must guarantee not only that private sensitive data have been trimmed out, … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem Interoperability Study for Healthcare Information System with Web ServicesJ. K. Zhang, W. Xu, D. EwinsThis paper describes the use of a new distributed middleware technology ‘Web Services’ in the proposed Healthcare Information System (HIS) to address the issue of system interoperability raised from existing Healthcare Information systems. With the development of HISs, hospitals and healthcare institutes have been building their own HISs for processing massive healthcare data, such as, systems built up for hospitals … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm and Tabu Search Attack on the Mono-Alphabetic Substitution Cipher in Adhoc NetworksA. K. Verma, Mayank Dave, R. C. JoshiWith exponential growth of networked system and application such as e-Commerce, the demand for effective Internet security is increasing. Cryptology is the science and study of systems for secret communication. In consists of two complementary fields of study: cryptography and cryptanalysis. This study presents a cryptanalysis method based on Genetic Algorithm and Tabu Search to break a Mono-Alphabetic Substitution Cipher … …Journal of Computer Science, Vol. 3, Issue 3 · 31 Mar 2007 · 7,254 accessesView PDFCite
Research ArticleOpen accessIn the abstractE-Government Readiness Assessment ModelAhmed Al-Omari, Hussein Al-OmariThis study presents a general framework model for E-Government Readiness Assessment. There are six necessary key factors to implement any E-government initiative worldwide. These factors represent the basic components to be assessed before launching the "e-initiative" to guarantee the right implementation in the right direction. The organization building blocks need to be assessed are: Organizational Readiness, Governance and leadership Readiness, … …Journal of Computer Science, Vol. 2, Issue 11 · 30 Nov 2006 · 8,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeparation of the Control Plane and Forwarding Plane in Next-Generation RoutersRachid N. Takourout, Samuel Pierre, Laurent MarchandEver since the Internet appeared, network elements, such as routers, have been enhanced with much functionality. They tend to increasingly integrate more services, such as support and security mechanisms, which ensure Quality of Service. Similarly, processor performance continues to increase rapidly. Thus, these two types of evolution trigger the concept of separating the Control plane and the Forwarding plane in … …Journal of Computer Science, Vol. 2, Issue 11 · 30 Nov 2006 · 6,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of a Neural Networks Classifier for Face DetectionF. Smach, M. Atri, J. Mitéran, M. AbidFace detection and recognition has many applications in a variety of fields such as security system, videoconferencing and identification. Face classification is currently implemented in software. A hardware implementation allows real-time processing, but has higher cost and time to-market. The objective of this work was to implement a classifier based on neural networks MLP (Multi-layer Perception) for face detection. The … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural System for Packet FilteringM. I. Buhari, M. H. Habaebi, B. M. AliIn this study, we analyzed the use of neural network for packet filtering. The neural network system was designed in eight ways with input to the neural network in the form of either access rules or optimized access rules or binary form of access rules or representing wildcards as 0 and 255, or combination of them. These trained neural networks … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractResidents Perceptions of the Economic Impacts of Hosting Mega Sports Events: A Cross-Sectional Study of Host Cities of AFCON 2022 in CameroonPaul Nkemngu Acha-AnyiEconomic incentives often constitute the thrustof galvanizing local community support for mega sports events. The purpose ofthis study was to explore the perceptions of residents of the AFCON 2022 hostcities on the economic impacts of the mega sports event on their lives and thecity. The cross-sectional study employed a quantitative research paradigmthrough the use of a questionnaire in collecting 1683 … …Journal of Social Sciences, Vol. 18, Issue 1 · 8 Nov 2022 · 6,679 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite