Добірка наукової літератури з теми "URLs"
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Статті в журналах з теми "URLs"
Wani, Vipin, Aniket Paul, and Kaushik Kumar. "Optimised URL Shortener using Cloud Platform." International Journal of Computer Science and Mobile Computing 10, no. 5 (May 30, 2021): 95–101. http://dx.doi.org/10.47760/ijcsmc.2021.v10i05.010.
Повний текст джерелаLee, Ong Vienna, Ahmad Heryanto, Mohd Faizal Ab Razak, Anis Farihan Mat Raffei, Danakorn Nincarean Eh Phon, Shahreen Kasim, and Tole Sutikno. "A malicious URLs detection system using optimization and machine learning classifiers." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1210. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1210-1214.
Повний текст джерелаGoel, Kavita, Jay Shankar Prasad, and Saba Hilal. "Removing Duplicate URLs based on URL Normalization and Query Parameter." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 361. http://dx.doi.org/10.14419/ijet.v7i3.12.16107.
Повний текст джерелаRajesh, M., R. Abhilash, and R. Praveen Kumar. "URL ATTACKS: Classification of URLs via Analysis and Learning." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 980. http://dx.doi.org/10.11591/ijece.v6i3.7208.
Повний текст джерелаRajesh, M., R. Abhilash, and R. Praveen Kumar. "URL ATTACKS: Classification of URLs via Analysis and Learning." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 980. http://dx.doi.org/10.11591/ijece.v6i3.pp980-985.
Повний текст джерелаKhan, Firoz, Jinesh Ahamed, Seifedine Kadry, and Lakshmana Kumar Ramasamy. "Detecting malicious URLs using binary classification through adaboost algorithm." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 997. http://dx.doi.org/10.11591/ijece.v10i1.pp997-1005.
Повний текст джерелаChen, Zuguo, Yanglong Liu, Chaoyang Chen, Ming Lu, and Xuzhuo Zhang. "Malicious URL Detection Based on Improved Multilayer Recurrent Convolutional Neural Network Model." Security and Communication Networks 2021 (May 26, 2021): 1–13. http://dx.doi.org/10.1155/2021/9994127.
Повний текст джерелаHabibzadeh, P. "Decay of References to Web sites in Articles Published in General Medical Journals: Mainstream vs Small Journals." Applied Clinical Informatics 04, no. 04 (2013): 455–64. http://dx.doi.org/10.4338/aci-2013-07-ra-0055.
Повний текст джерелаSife, Alfred Said, and Edda Tandi Lwoga. "Retrieving vanished Web references in health science journals in East Africa." Information and Learning Science 118, no. 7/8 (July 10, 2017): 385–92. http://dx.doi.org/10.1108/ils-04-2017-0030.
Повний текст джерелаNiveditha, B., and Mallinath Kumbar. "A Study of Availability and Recovery of URLs in Library and Information Science Scholarly Journals." Asian Journal of Information Science and Technology 10, no. 1 (May 5, 2020): 51–61. http://dx.doi.org/10.51983/ajist-2020.10.1.297.
Повний текст джерелаДисертації з теми "URLs"
Ortega, San Martin Luis. "Recommended URLs." Revista de Química, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/99737.
Повний текст джерелаAquí encontrará un grupo de páginas web que podrían ser de su interés. La primera es de utilidad en el área de materiales, ya sea en docencia o investigación. La segunda consiste en un blog de divulgación científica que seguro le descubrirá un lado de la química que desconoce. Finalmente, se muestra una página web que contiene vídeos que podríanserle útiles en el salón de su clase.
Zapata, Ramirez Victor. "Recommended URLs." Revista de Química, 2013. http://repositorio.pucp.edu.pe/index/handle/123456789/99893.
Повний текст джерела- Periodic Table of Videos (http://www.periodicvideos.com)- MIT Open Courseware (http://www.ocw.mit.edu)- Cambridge Chemistry Challenge (www.c3l6.org)
Ma, Justin Tung. "Learning to detect malicious URLs." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3404292.
Повний текст джерелаTitle from first page of PDF file (viewed June 10, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (leaves 119-124).
Cheng, Aidan. "Using Machine Learning to Detect Malicious URLs." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1567.
Повний текст джерелаSilva, Eduina Da. "The influence of URLs on customer perception and reaction." Thesis, University of Macau, 2005. http://umaclib3.umac.mo/record=b1636667.
Повний текст джерелаBezerra, Maria Azevedo. "Uma investigação do uso de características na tetecção de URLs." Universidade Federal do Amazonas, 2015. http://tede.ufam.edu.br/handle/tede/4740.
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Malicious URLs have become a channel for criminal activities on the Internet, such as spam and phishing. Current solutions for validation and verification of malicious URLs are considered or are believed to be accurate, with well-adjusted results. However, is it really possible or feasible to obtain 100% of accuracy in these solutions? This work describes a simple and direct investigation of features, bases and URL formats, aiming to show that the results of validation and verification URLs are highly dependent on certain aspects/factors. The idea is to extract URL features (lexical, DNS and others) for obtain the maximum information from the URLs and employ machine learning algorithms to question their influence throughout the process. In order to prove this idea, were created four hypotheses that showed that it is possible to disagree with the results of several studies from the literature.
URLs maliciosas tornaram-se um canal para atividades criminosas na Internet, como spam e phishing. As atuais soluções para validação e verificação de URLs maliciosas se consideram ou são consideradas precisas, com resultados bem ajustados. Contudo, será que realmente é possível ou factível se obter percentuais beirando 100% de precisão nessas soluções? Neste sentido, esta dissertação descreve uma simples e direta investigação de características, bases e formatos de URLs, visando mostrar que os resultados de validação e verificação de URLs são bastante dependentes de certos aspectos/fatores. A ideia é extrair características (léxicas, DNS e outras) que permitam obter o máximo de informação das URLs e empregar algoritmos de aprendizagem de máquina para questionar a influência dessas características em todo o processo. Como forma de provar essa ideia, foram elaboramos quatro hipóteses, que ao final no trabalho, mostraram que é possível discordar do resultado de vários trabalhos já existentes na literatura.
Egan, Shaun Peter. "A framework for high speed lexical classification of malicious URLs." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1011933.
Повний текст джерелаHenrique, Wallace Favoreto. "Verificação de unicidade de URLs em coletores de páginas Web." Universidade Federal de Minas Gerais, 2011. http://hdl.handle.net/1843/SLSS-8GQJNA.
Повний текст джерелаUma das principais dificuldades existentes no desenvolvimento de um coletor de páginas web está no componente verificador de unicidade de URLs, pois estruturas de dados complexas são exigidas para garantir que a identificação das URLs ainda não coletadas seja feita de forma eficaz e eficiente. Caso o verificador de unicidade de URLs não ofereça eficácia e eficiência, os outros componentes do coletor serão prejudicados. Neste trabalho, apresentamos um novo algoritmo para verificar unicidade de URLs chamado VEUNI (VErificador de UNIcidade de URLs).O algoritmo VEUNI foi comparado com o melhor algoritmo conhecido na literatura, o qual foi considerado um baseline nos experimentos. O estudo comparativo entre o algoritmo VEUNI e o algoritmo baseline foi realizado por meio de uma simulação de uma coleta de aproximadamente 350 milhões de páginas, utilizando uma coleção de referência chamada ClueWeb09. Os resultados experimentais mostram que o algoritmo proposto é uma alternativa que pode ser utilizada com êxito em coletores de páginas que visam ser escaláveis para toda a Web.
Li, Sirui. "A Study of Corrosion Monitoring Techniques Used in URLs for Metals." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6624.
Повний текст джерелаAl-Janabi, Mohammed Fadhil Zamil. "Detection of suspicious URLs in online social networks using supervised machine learning algorithms." Thesis, Keele University, 2018. http://eprints.keele.ac.uk/5581/.
Повний текст джерелаКниги з теми "URLs"
Ackermann, Ernest C. Learning to use the Internet and World Wide Web with revitalized URLs. Wilsonville, OR: Franklin, Beedle & Associates, 2004.
Знайти повний текст джерелаBest practices in policies and procedures: Includes table of contents examples and policy/procedure URLs. Westerville, Ohio: Process Improvement Publishing, 2001.
Знайти повний текст джерелаNikić, Momir. Urla. Beograd: Geopoetika, 2000.
Знайти повний текст джерелаḤijāzī, Aḥmad ʻAbd al-Muʻṭī. Urās. [Cairo]: Akhbār al-Yawm, 1989.
Знайти повний текст джерелаMićović, Milovan. Bademi, urbs. Novi Sad: Prometej, 1998.
Знайти повний текст джерелаURSS-Russia. Milano: Rizzoli, 1985.
Знайти повний текст джерелаJovanović, Miodrag. Uros Predic. Novi Sad: Matiza srpska, 1998.
Знайти повний текст джерелаJosé Carlos de Figueiredo Ferraz. Urbs nostra. São Paulo, SP, Brasil: Edusp, 1991.
Знайти повний текст джерелаUrbs: Roman. Paris]: Le Tripode, 2013.
Знайти повний текст джерелаMoretti, Massimo. L' urlo. Venezia: Marsilio, 1993.
Знайти повний текст джерелаЧастини книг з теми "URLs"
Kern, Thorsten A. "URLs." In Engineering Haptic Devices, 437–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88248-0_15.
Повний текст джерелаRocher, Graeme, and Jeff Brown. "Mapping URLs." In The Definitive Guide to Grails, 143–58. Berkeley, CA: Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-0871-6_6.
Повний текст джерелаBrown, Jeff Scott, and Graeme Rocher. "Mapping URLs." In The Definitive Guide to Grails 2, 139–53. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4378-6_6.
Повний текст джерелаAlchin, Marty. "URLs and Views." In Pro Django, 83–106. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5810-0_4.
Повний текст джерелаPusch, Roland. "Underground Laboratories (URLs)." In Geological Storage of Highly Radioactive Waste, 275–319. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77333-7_6.
Повний текст джерелаGood, Nathan A. "URLs and Paths." In Regular Expression Recipes for Windows Developers, 91–125. Berkeley, CA: Apress, 2005. http://dx.doi.org/10.1007/978-1-4302-0028-4_2.
Повний текст джерелаSanderson, Steven. "URLs and Routing." In Pro ASP.NET MVC 2 Framework, 235–81. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2887-5_8.
Повний текст джерелаWatson, Brent. "Mapping URLs to Methods." In Stripes by Example, 23–27. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0980-6_4.
Повний текст джерелаFreeman, Adam, and Steven Sanderson. "URLs, Routing, and Areas." In Pro ASP.NET MVC 3 Framework, 325–83. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3405-0_11.
Повний текст джерелаRubio, Daniel. "Django Urls and Views." In Beginning Django, 31–72. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2787-9_2.
Повний текст джерелаТези доповідей конференцій з теми "URLs"
Soon, Lay-Ki, and Sang Ho Lee. "Identifying Equivalent URLs Using URL Signatures." In 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems (SITIS). IEEE, 2008. http://dx.doi.org/10.1109/sitis.2008.21.
Повний текст джерелаKannan, Natarajan, and Toufeeq Hussain. "Live URLs." In the 15th international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1135777.1135924.
Повний текст джерелаHan, Xiaogang, Wenjun Zhou, Xing Jiang, Hengjie Song, Ming Zhong, and Toyoaki Nishida. "Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance." In 2013 IEEE International Conference on Data Mining (ICDM). IEEE, 2013. http://dx.doi.org/10.1109/icdm.2013.20.
Повний текст джерелаHinne, Max, Wessel Kraaij, Stephan Raaijmakers, Suzan Verberne, Theo van der Weide, and Maarten van der Heijden. "Annotation of URLs." In the 32nd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1571941.1572051.
Повний текст джерелаMa, Justin, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. "Identifying suspicious URLs." In the 26th Annual International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1553374.1553462.
Повний текст джерелаGonçalves, Diego Luiz Nunes, and Dionsio Machado Leite Filho. "URLYZER: sistema de identificação de URLs maliciosas utilizando IA como suporte à tomada de decisão." In Anais Estendidos do Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbrc_estendido.2021.17180.
Повний текст джерелаSendi, Razan. "The Classification and Detection of Malicious URLs Using a Machine Learning Based Approach." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22661-ms.
Повний текст джерелаPham, Tuan Dung, Thi Thanh Thuy Pham, Sy Tuong Hoang, and Viet Cuong Ta. "Exploring Efficiency of GAN-based Generated URLs for Phishing URL Detection." In 2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 2021. http://dx.doi.org/10.1109/mapr53640.2021.9585287.
Повний текст джерелаAldwairi, Monther, and Rami Alsalman. "MALURLs: Malicious URLs Classification System." In Annual International Conference on Information Technology and Applications & Annual International Conference on Control, Automation and Robotics. Global Science and Technology Forum, 2011. http://dx.doi.org/10.5176/978-981-08-8113-9_ita29.
Повний текст джерелаBai, Xiao, B. Barla Cambazoglu, and Flavio P. Junqueira. "Discovering URLs through user feedback." In the 20th ACM international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063592.
Повний текст джерелаЗвіти організацій з теми "URLs"
Vaha-Sipila, A. URLs for Telephone Calls. RFC Editor, April 2000. http://dx.doi.org/10.17487/rfc2806.
Повний текст джерелаMealling, M., and R. Denenberg, eds. Report from the Joint W3C/IETF URI Planning Interest Group: Uniform Resource Identifiers (URIs), URLs, and Uniform Resource Names (URNs): Clarifications and Recommendations. RFC Editor, August 2002. http://dx.doi.org/10.17487/rfc3305.
Повний текст джерелаRichardson, M., J. Latour, and H. Habibi Gharakheili. Loading Manufacturer Usage Description (MUD) URLs from QR Codes. RFC Editor, May 2022. http://dx.doi.org/10.17487/rfc9238.
Повний текст джерелаMacDonald, Stuart, Connor Rees, and Joost S. Remove, Impede, Disrupt, Redirect: Understanding & Combating Pro-Islamic State Use of File-Sharing Platforms. RESOLVE Network, April 2022. http://dx.doi.org/10.37805/ogrr2022.1.
Повний текст джерелаNeufeld, G., and J. Baer. The Use of URLs as Meta-Syntax for Core Mail List Commands and their Transport through Message Header Fields. RFC Editor, July 1998. http://dx.doi.org/10.17487/rfc2369.
Повний текст джерелаMacdonald, Stuart, Kamil Yilmaz, Chamin Herath, J. M. Berger, Suraj Lakhani, Lella Nouri, and Maura Conway. The European Far-Right Online: An Exploratory Twitter Outlink Analysis of German & French Far-Right Online Ecosystems. RESOLVE Network, May 2022. http://dx.doi.org/10.37805/remve2022.2.
Повний текст джерелаDaigle, L., P. Deutsch, B. Heelan, C. Alpaugh, and M. Maclachlan. Uniform Resource Agents (URAs). RFC Editor, October 1996. http://dx.doi.org/10.17487/rfc2016.
Повний текст джерелаSaint-Andre, P., and J. Klensin. Uniform Resource Names (URNs). RFC Editor, April 2017. http://dx.doi.org/10.17487/rfc8141.
Повний текст джерелаMavrakis, D., H. Layec, and K. Kartmann. VEMMI URL Specification. RFC Editor, March 1997. http://dx.doi.org/10.17487/rfc2122.
Повний текст джерелаNewman, C. IMAP URL Scheme. RFC Editor, September 1997. http://dx.doi.org/10.17487/rfc2192.
Повний текст джерела