Malicious URLs
Machine Learning Approach for Detection of Malicious Urls and Spam in Social Network
... containing URLs and the date of creating an account, or relation features in the Twitter ...find Malicious URLs and spam and to identify whether a given tweet is spam of not in a Social Network such ...
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Email Phishing: An Enhanced Classification Model to Detect Malicious URLs
... Phishing URLs are challenging threat in cyber space which steal the user’s sensitive ...phishing URLs crafting tactics pointing to the same phishing website to bypass the detection ...Enhanced ...
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Twitter Scanner to Search Malicious URLs for Twitter Users
... their malicious content on user account without knowing them such type of attack is called drive by download ...their malicious URLs or tweets they used their malware distribution network ...
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Classification of Malicious URLS for Web Using Ripper Algorithm
... of malicious URLs demanding more and more efficient ...determine URLs that are malicious and pose threat to the users in real ...such malicious URLs on a regular ...
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WarningBird MailAlert Based Malicious URLs Blocker System in Twitter
... to malicious tweets containing URLs for spam, phishing, and malware ...containing URLs and the account creation date, or relation features in the Twitter ...of URLs, URL redirection, HTML ...
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Machine Learning Approach for Classifying Malicious URLs
... and malicious activity of program by monitoring HTTP visitors is fitting more difficult when sophisticated malware generate authorized HTTP traffic and having the identical habits with ordinary ...of ...
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Malicious Short Urls Detection: A Survey
... web URLs. The Short URLs is easier to remember and use instead of long ...malicious URLs. The propose system not only detect also analysis Malicious Short ...
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Anti-Phishing Method for Detecting Suspicious URLs in Twitter
... Most of the existing techniques make use of the various methods to detect the suspicious urls. The works in [2] uses various online algorithms such as perceptron, confidence weight and passive regression ...
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Malicious Website Detection Based on URLs Static Features
... Based on pattern analysis, we can extract URL features pertinently. In this paper, we classify the static features into three categories: 1) Lexical feature, it includes the words and phrases most commonly used in URL ...
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Malicious URL Detection and Identification
... Malicious links are used as a source by the distribution channels to broadcast malware all over the Web. These links become instrumental in giving partial or full system control to the attackers. This results in ...
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Article Description
... of malicious websites has to be the automatic avoidance of these dangerous parts of the Web in an easy to use and error-free ...of malicious URLs such as for educational sites 50% excellent and 10% ...
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Detecting Phishing Urls Using Particle Swarm
... he application of evolutionary algorithms to computational problems is very prevalent nowadays because of the way the algorithm is able to adapt to the problem and provide a suitable solution with ease. In this paper, we ...
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Detection of Phishing Website using Machine Learning
... the URLs of fake web ...(URLs). URLs of a phishing webpage typically have some unique characteristics that make it different from the URLs of the legitimate web ...
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Warning Tweet: A Detection System for Suspicious URLs in Twitter Stream
... Thus malicious users can use twitter to send malicious tweets containing malicious URL’s for spam or phishing ...the malicious users or attackers have limited resources and thus they need to ...
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Machine Learning Algorithms for Questing of Phishing URLs
... The work what we took over concisely Host based, page based, the collection of URLs‟ with respect to lexical feature Extractions and analysis/assessment. With above said elements we can create a database, which is ...
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... undeserving URLs; in presentation, they pollute displayed search results and lead to a poor user ...duping URLs is thus an extremely important problem in end-to-end web search, and enormous resources are ...
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Restructure Effective Examining Based on User Search Goals with Feedback Sessions
... clicked URLs. Both the clicked URLs and the unclicked ones before the last click are considered as user implicit feedbacks and taken into account to construct feedback sessions Therefore, feedback sessions ...
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The Upshot of Malicious and Non-Malicious Mails Using Weka
... Electronic Mail (E-Mail) has emerged as the most important application on internet for communication of messages, delivery of documents and carrying out for transactions. However, security loopholes in it enable cyber ...
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ELIMINATE DUPLICATE URLs USING MULTIPLE ALIGNMENT OF SEQUENCES
... distinct URLs that correspond to pages with duplicate or partial duplicate ...distinct URLs which refer the same content to a common canonical form, which makes it easy to detect ...training URLs ...
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The Political Domain Goes to Twitter: Hashtags, Retweets and URLs
... initiate a robust stream of research. There have been few papers subsequently reporting population numbers for retweets, urls and hashtags. The additional baseline numbers we have found include a 2010 study by ...
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