Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach

Caverlee, James; Liu, Ling; Rocco, Daniel

doi:10.1007/s11280-006-0227-7

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…In order to restore the full page, we require multiple independent sessions to be associated. By searching for href in the page text content and localization of a relative URL, web page hyperlink relationship is locally remodeled [7].…”

Section: B Full Pages and Hyperlinks Local Reconstructionmentioning

confidence: 99%

Research of HTTP Hyperlinks Reconstruction and Hot Topic Auto-Discovery

Liu¹,

Wang²,

Qin³

et al. 2012

2012 Fourth International Conference on Multimedia Information Networking and Security

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Internet security is facing a growing challenge, and many security monitoring systems based on packet inspection have been unable to fully meet the requirements of high-level security monitoring. In this paper, based on full web hyperlinks reconstruction and the hot topic of automatic discovery mechanism, a network security monitoring system is proposed, which is able to achieve the real-time monitoring, to reproduce the complete content of the WEB browser, to cluster and discovery the hot topic automatically, and to monitor web content intelligently. Keywords-HTTP hyperlinks reconstructionfiltering of duplicate pages network content monitoring hot topic auto-discovery

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Section: B Full Pages and Hyperlinks Local Reconstructionmentioning

confidence: 99%

Research of HTTP Hyperlinks Reconstruction and Hot Topic Auto-Discovery

Liu¹,

Wang²,

Qin³

et al. 2012

2012 Fourth International Conference on Multimedia Information Networking and Security

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show abstract

“…We require users to answer questionnaires that supply two recommended queries per test query. 5 Because two users are grouped as a pair to compute a Kappa value, the total number of test pairs is 36 C 9 2 = 36 . We collected the relevance judgment results of the nine test queries and the average of all Kappa values is 0.388.…”

Section: Kappa Statisticsmentioning

confidence: 99%

Finding Related Search Engine Queries by Web Community Based Query Enrichment

Otsuka

2009

World Wide Web

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The conventional approaches of finding related search engine queries rely on the common terms shared by two queries to measure their relatedness. However, search engine queries are usually short and the term overlap between two queries is very small. Using query terms as a feature space cannot accurately estimate relatedness. Alternative feature spaces are needed to enrich the term based search queries. In this paper, given a search query, first we extract the Web pages accessed by users from Japanese Web access logs which store the users individual and collective behavior. From these accessed Web pages we usually can get two kinds of feature spaces, i.e, content-sensitive (e.g., nouns) and content-ignorant (e.g., URLs), to enrich the expressions of search queries. Then, the relatedness between search queries can be estimated on their enriched expressions. Our experimental results show that the URL feature space produces much lower precision scores thanThe work was done when Lin Li was a Ph.D. student at the University of Tokyo and now she works at

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“…Dark Web project came into existence after 9/11 attack which was aimed at tracking the terrorist activities online. According to a report by Hsinchun Chen of the University of Arizona researchers have determined the probability of becoming a suicide bomber is 2 per 10,000 [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2018

JFSCI

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Search engines do not show the content of deep web. Since deep web pages are not indexed their accessibility is not possible using regular search engines such as "Google". The Dark Web, on the other hand, is mostly available publicly -if the user knows the ways to find it, because it exists on an alternate layer of the internet. Such alternate layer enables the individuals to breed anonymity. Websites hosted on Dark Web can be used for both good and bad purposes. Dark Web has been used for criminal activities such as the distribution of child pornography, hacking rings, money laundering, and sales of weapons and drugs. It has major effect leading to illegal activities which are very difficult to trace. Although the business created by hidden services is estimated to be in millions. Fighting Narco-terrorism and to keep a check on the distribution of substance of abuse and illegal drugs online is the need of the hour. Thus, the present paper explores availability of drugs online and laws breached. Since, it is important to adapt new ways and techniques to counter drug addiction. It is important to make sure that the history of Silk Route is not repeated.

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Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach

Cited by 9 publications

References 30 publications

Research of HTTP Hyperlinks Reconstruction and Hot Topic Auto-Discovery

Research of HTTP Hyperlinks Reconstruction and Hot Topic Auto-Discovery

Finding Related Search Engine Queries by Web Community Based Query Enrichment

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