[PDF] Top 20 Malicious Website Detection Based on URLs Static Features
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Malicious Website Detection Based on URLs Static Features
... token features, a combination of two adjacent words is extracted named as Bi-gram ...external features, such as IP address and server location [10], WHOIS and DNS [7, 10], Google page rank and quality ... See full document
7
WarningBird MailAlert Based Malicious URLs Blocker System in Twitter
... these URLs with ...the detection of suspicious URLs that use several domain names to bypass the blacklisting, in which each URL appears in these ...discovered URLs thus becomethe entry points ... See full document
6
Website Reputation System
... learning based models has been utilized in many ways to deal with vindictive URLs to detect malicious web links and preventing data ...Content based spam analysis detected method was developed ... See full document
6
Email Phishing: An Enhanced Classification Model to Detect Malicious URLs
... like malicious or phishing ...detect malicious or phishing URLs in the present ...authentic website but are not ...relevant URLs features that discriminate between legitimate and ... See full document
12
Malicious URL Detection and Identification
... target website is a malicious or ...and detection of malicious URLs. The proposed model based on Naive Bayes is supported by clustering and classification ... See full document
7
Twitter Scanner to Search Malicious URLs for Twitter Users
... fresh features like graph based feature and neighbor based ...their malicious content on user account without knowing them such type of attack is called drive by download ...their ... See full document
7
A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection
... methods based on machine ...tool based on commercial URLs. For spam detection in real time, we also extracted light features for the tweet ...The detection of spam was then ... See full document
7
PathMarker: protecting web contents against inside crawlers
... the website and connect the website with the MySQL according to the Installation Instruction of the CodeIgniter’s website ...generating URLs to make sure all links of our web- site have URL ... See full document
17
Hidost: a static machine-learning-based detector of malicious files
... on features obtained with both static and dynamic analysis ...are based on an empirical approach, striving to encode the knowledge of domain experts, ...expert features perform very ...high ... See full document
20
Malicious Websites Classification Based On Web Address Features
... significant features that discriminate between legitimate and phishing ...These features are then subjected to associative rule mining—apriori and predictive ...filtering based on descriptive and ... See full document
6
Improving Knowledge Based Spam Detection Methods: The Effect of Malicious Related Features in Imbalance Data Distribution
... Spam detection is based on the assumption that its content differs from that of a legitimate email in ways that can be ...statically features such as particular words frequency, spe- cial characters ... See full document
12
Detecting and Preventing Distrustful URL in Multimedia Network
... and malicious pages are occur. It detect the unwanted pages based on the redirect chain and correlation of redirection chain features are extracted from the suspicious ...to malicious tweets ... See full document
5
A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... Phishing is a cutting edge threat that has an impact on commercial and banking sectors by means of the Internet which delivers huge misfortunes at the level of clients and organizations [1]. Phishing can be characterized ... See full document
8
Malicious Short Urls Detection: A Survey
... of features. For example, several host- based features may take a few seconds to be obtained, and that itself makes using them in real world setting ...several malicious and benign URLs ... See full document
7
Machine Learning Approach for Detection of Malicious Urls and Spam in Social Network
... are based on URL detection ...detect malicious websites by verifying lexical features and host based features of ...in malicious URLs and their features over ... See full document
5
Deep Malicious Website Detection
... main features of Deep Bot are for accessing the server side deep web, Deep Bot [2] can of domain definitions, each one describing a certain data-gathering ...are based on automated mini web browsers, built ... See full document
6
Network Level Anomaly Detection System with Principal Component Analysis
... (IDS-Intrusion Detection System) is a severe challenge. Based on the way by which analysis is carried out, intrusion detection systems can be said either as signature-based system or ... See full document
7
Segmenting and Detecting Malicious Tweets and Harmful Entity Recognition
... In this system, we focus on the task of tweet/scrap segmentation. The goal of this task is to split a tweet into a sequence of consecutive n-grams (n<=1), each of which is called a segment. To achieve high quality ... See full document
9
A Review on Useful Features for Introducing Accuracy in Phishing Website Detection
... Since phishing is continuously evolving with new tricks and trends there are many definitions of phishing website. One definition by Anti-Phishing Working Group (APWG)’s is, "Phishing attacks use both social ... See full document
5
Performance Analysis of Malicious Nodes Detection System in Manet Using Anfis Classifier
... The performance of the proposed malicious node detection system is analyzed using Network simulator-2 (version 2.34) under open source operating system environment. The carrien sense multiple access ... See full document
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