Terror tracking using advanced web mining perspective

Anand, Tanvi; Padmapriya, S.; Kirubakaran, E.

doi:10.1109/iama.2009.5228034

Cited by 4 publications

(4 citation statements)

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“…Radicalization is currently defined by the European Commission as the phenomenon of sharing opinions, views and ideas that could lead to terrorism (Reinares et al, 2008). Many authors of dark web studies were in agreement about the use of positive polarity (violent/ extremist) and negative polarity (non-violent/extremist) forms of radicalization when applying sentiment analysis, including Ahmad et al, 2019;Anand et al, 2009;Araque and Iglesias, 2020;Bermingham et al, 2009;Chalothorn and Ellman, 2013;Dragos et al, 2019;Fadel and € Oz, 2020;Sabbah et al, 2016;Sabbah and Selamat, 2014;Smith, 2004;Wiil, 2011;Yilmazel et al, 2005;Zimbra and Chen, 2012).…”

Section: Sentiments and Affect Intensity Analysismentioning

confidence: 99%

“…Last et al (2008) stated that the total number of terrorist websites increased from only 12 in 2001 to nearly 5,000 sites by 2006. Anand et al (2009) reported the burgeoning number of dark websites from 5,000 in 2006 to almost 50,000 sites in 2007. The figures comprise websites, blogs, social networking sites, videos, multimedia sites and forums.…”

Section: Introductionmentioning

confidence: 99%

“…In 2009, 300 terrorist forums were uncovered with more than 30,000 members and stored messages of nearly a million. Around a million images and 15,000 videos were collected from some sites, written in more than 15 languages (Anand et al , 2009). With this growing number of terrorist and extremist groups' websites available, it has become of significant importance to detect and analyze the websites' content.…”

Section: Introductionmentioning

confidence: 99%

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Techniques to detect terrorists/extremists on the dark web: a review

Alghamdi

Selamat

2022

DTA

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PurposeWith the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.Design/methodology/approachThis study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.FindingsBased on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.Originality/valueAt the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.

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Section: Sentiments and Affect Intensity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Techniques to detect terrorists/extremists on the dark web: a review

Alghamdi

Selamat

2022

DTA

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“…Different counter terrorism approaches have been proposed to tackle the act of terrorism. For example, the web mining technique to arrest terror by discovering patterns in a terrorist's web usage based on the web content and links that they may have visited [4]. Carley [5] studied the strategies to destabilise covert network (i.e.…”

Section: Counter-terrorism and Computational Techniquesmentioning

confidence: 99%

An agent based approach for improvised explosive device detection, public alertness and safety

Ehimwenma

Crowther

Alboul

et al. 2018

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)

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One of the security challenges faced by our contemporary world is terror threats and attacks, and this is no doubt posing potential threats to lives, properties and businesses all around us; affecting the way we live and also travel. Terror attacks have been perpetrated in diverse ways whether from organized terror networks through coordinated attacks or by some lone individuals such that it is now a major concern to people and government. Indeed, there are numerous forms of terror attacks. In this proposal, we look at how the explosive substance kind of threats can be perceived and taken care of prior to potential attacks using intelligent agent systems requirement analysis. Thus, the paper demonstrates using an agent-oriented system analysis and design methodology to decompose. Through defined percepts, goals and plans, agents possess capabilities to observe and perform actions. This proposal demonstrates: how agents can be situated in our cities, goal refinement for agents in the detection and rescue of potential terror attacks, and inter-agent communication for the prevention of chemical terror attack.

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Research on web data mining concepts, techniques and applications

Jayamalini

Ponnavaikko

2017

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)

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Terror tracking using advanced web mining perspective

Cited by 4 publications

References 4 publications

Techniques to detect terrorists/extremists on the dark web: a review

Techniques to detect terrorists/extremists on the dark web: a review

An agent based approach for improvised explosive device detection, public alertness and safety

Research on web data mining concepts, techniques and applications

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