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In this work, we compare various text-based pornographic Web filtering techniques. The techniques include blacklist and keyword blocking. The technique called SV is modified to extract a representative feature vector. Each test Web pagepsilas feature is extracted and gathered as a vector. The vector is then summarized
the device to strengthen the defense. To enhance the security of the back-end application servers, we use keyword filtering and re-treatment to rule out the blacklist, and to adjust the system settings so that it can effectively block the assaults or reduce the possibility of successful attacks. In addition, we also
decoders' outputs, an optimal hypothesis was chosen for each utterance by a topic-selection criterion minimizing an energy function with three terms: likelihood scores for the utterances; keyword co-occurrence statistics to measure the long-distance correlation; and Web-based hypothesis verification scores, which penalize
The newly proposed Alert Notification Service (ANS) represents a web service that automatically visits all requested web sites selected by a certain user and alerts the user when a certain keyword phrase has been changed. This saves users' time and effort by reducing the repeatedly visiting multiple web sites looking
do not have enough links between resources, and the LOD need a lot of time for creation. Therefore, this paper presents the new LOD conversion system that can convert the Web contents to the LOD. This system extracts keywords from sentences in the Web contents using DBpedia LOD, and generates the knowledge base. By
blogs, translates into English, categorizes the blog based on the content by keywords and provides code for posting relevant ads in blog. The system is tested on 100 regional language blogs in various categories and found to be effective.
gambling is under strict regulations. However, there are so many websites that it is rather difficult to regulate Internet gambling and rather challenging to identify them. It may introduce many false positives or false negatives, if we simply grep contents of websites with keywords. In this paper, we find that the behavior
being browsed, to discover relevant keywords for each document, and to effectively cluster the documents into semantically-significant groupings. The quality of the links is improved over time through passive user feedback collection. Our system can be deployed as a web service and has been tested on offline datasets as
to create a new entry in a database from the Neurology Laboratory measurements. The advantage of the web application is to view patient's saved records, filter entries with by keywords, show a preview of a curve and download electro physical data in three different formats (edf, dat, xml). The output of the proposed
the tokens or between the checksums indicates a same origin violation. To reduce the scheme's performance ovrhead, this matching is performed only when a request originated from a page with no submission form has suspicious keywords. We analyze the protection potential, security, and performance overhead of our scheme.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.