Submit your paper : editorIJETjournal@gmail.com Paper Title : COUNTERING TERRORISM ONLINE USING WEB DATA MINING ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.7335347 MLA Style: -Dr.G.Kalpana,Aitham Nikshitha, Nune.S.V.S.D.L.Pravallika, Yalavarthi Bhanu Lekha COUNTERING TERRORISM ONLINE USING WEB DATA MINING , Volume 8 - Issue 6 November - December 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -Dr.G.Kalpana,Aitham Nikshitha, Nune.S.V.S.D.L.Pravallika, Yalavarthi Bhanu Lekha COUNTERING TERRORISM ONLINE USING WEB DATA MINING , Volume 8 - Issue 6 November - December 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract In several places of the world recently, terrorism has increased dramatically. The use of the Internet by terrorists is an issue that is escalating quickly. Due to the massive increase in terrorist activities, it is critical to put an end to terrorism and stop its growth before it harms people, organizations, or nations. People need to take safety precautions to keep themselves secure both offline and online, and they should report any suspicious behaviour they see.Technology advancements have made the internet a vehicle for the propagation of terrorism via websites and social networking platforms that aid terrorist groups in enlisting new members and supporters who commit atrocities on their behalf. Here, we present an effective system called OTDS that allows people to search any website for any indication of terrorist activity and report it. Reference 1. Chen, H.. "Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums." ACM Transactions on Information Systems, forthcoming,June 2008.In this study the use of sentiment analysis methodologies is proposed for classification of Web forum opinions in multiple languages. The utility of stylistic and syntactic features is evaluated for sentiment classification of English and Arabic content. 2. Dietmar Jannach and Simon Fischer, Recommendation-based Modeling Support for Data Mining Processes, Germany and Simon Fischer Rapid Miner GmbH, Germany, Proceedings of the 8th ACM Conference on Recommender system, pages 337-340, October 2014. 3. Joseph F. Gustin, "Cyber Terrorism A Guide for Facility Managers," in Cyber Terrorism: A Guide For Facility Managers, River Publishers, 2004, pp.i-xii. 4. S. V. Nath, "Crime Pattern Detection Using Data Mining," 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, 2006, pp. 41-44, doi: 10.1109/WI-IATW.2006.55. 5. Mrs. T. Suvarna Kumari, Mr. NarsaiahPutta, 2019, Web Data Mining to Detect Online Spread of Terrorism, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 08, Issue 07 (July 2019), 6. S. Ahsan and A. Shah, "Data mining, semantic web and advanced information technologies for fighting terrorism," 2008 International Symposium on Biometrics and Security Technologies, 2008, pp. 1-5, doi: 10.1109/ISBAST.2008.4547644. 7. A.Sai Hanuman, G.Charles Babu , P.Vara Prasad Rao, P.S.V.Srinivasa Rao ,B.Sankara Babu “A Schematic Approach on Web Data Mining In Online Spread Detection of Terrorism”,International Journal of Recent Technology and Engineering Volume-8, Issue-1, May 2019.So here they have propose a compelling web data mining structure to recognize such web properties and standard them thusly for human review. Index Terms: web data mining, terrorism, web structure mining, dread monger affiliations. 8. Elovici, Y., et al. “Using Data Mining Techniques for Detecting Terror-Related Activities on the Web.” Journal of Information Warfare, vol. 3, no. 1, 2004, pp. 17–28. JSTOR, https://www.jstor.org/stable/26486336. Accessed 6 Nov. 2022. 9. Syed Ahsan, Abad Shah,” Data Mining, Semantic Web and Advanced Information Technologies for Fighting Terrorism”. 10. J.Vellingiri, S. Chenthur Pandian, ”A Survey on Web Usage Mining” Volume 11 Issue 4 Version 1.0 March 2011. Keywords — Terrorism, Terrorist organizations, online spread, OTDS (Online Terror Detecting System), data mining, web mining, python modules. |