[PDF] Top 20 Classification of Features for detecting Phishing Web Sites based on Machine Learning Techniques
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Classification of Features for detecting Phishing Web Sites based on Machine Learning Techniques
... Abstract: Phishing is one of the most common and dangerous attacks among ...organizations. Phishing websites contents and web-based information contains various ...the phishing ... See full document
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Bovines Muzzle Classification Based on Machine Learning Techniques
... muzzle classification is considered as a biometric classifier to maintain the safety of bovines and guarantee the livestock ...Pre-processing techniques; histogram equalization and mathematical morphology ... See full document
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Multiclass Classification of XSS Web Page Attack using Machine Learning Techniques
... XSS web page can be identified based on the features extracted from the given URL of the web site/ web ...the web pages and list the tags, which are used in ...the ... See full document
5
Classification of virtual patent marking web-pages using machine learning techniques
... Xgboost, Catboost and LightGBM are three different state-of-the-art gradient boosting im- plementations. LightGBM as developed by Microsoft in 2017 is an algorithm that introduces Gradient-based One-Side Sampling ... See full document
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Classification of cross site scripting web pages using machine learning techniques
... many web application threats such as SQL injection and Cross Site ...targets web applications which lack security countermeasures against untrusted data that is provided by the user, and this attack take ... See full document
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Acute Leukemia Classification based on Image Processing and Machine Learning Techniques
... several features are extracted from the whole cell, nucleus, and ...(FAB) classification accuracy by applying the genetic algorithm to optimize the support vector machine kernel parameters and ... See full document
13
Detecting emotions from speech using machine learning techniques
... suitable techniques for sequence classification are extensively used in differ- ent ...(HMM) classification technique is applied by Wilpon and Rabiner [ 223 ] and has shown that the HMM-based ... See full document
148
A Survey of Various Machine Learning Techniques for Text Classification
... The results for the Ohsumed data show that C4.5 has micro averaged precision/recall breakeven point of 50 which is far lesser than SVM. This happens because heavy over fitting is observed when using more than 500 ... See full document
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Spam Classification Using Machine Learning Techniques - Sinespam
... The features selection used in this work is one of the major improvements, because the feature set uses descriptive characteristics of words and messages similar to those that a human reader would use to identify ... See full document
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Classification of Phishing Web Sites Features Based on Extreme Learning Machine
... Hyderabad, India, Hyderabad, India, [email protected] [email protected] Abstract: Phishing are one of the most widely recognized and most perilous assaults among cybercrimes. The point of these ... See full document
6
Know Your Phish: Novel Techniques for Detecting Phishing Sites and Their Targets
... unsuspecting web surfers into revealing their ...the web, phishing has attracted the attention of many researchers and ...and techniques for helping web surfers to detect and avoid ... See full document
11
Data Analytics: intelligent anti-phishing techniques based on Machine Learning
... investigate phishing in electronic banking (Ebanking) ...simulated phishing email with the help of the security manager of a bank to measure security indicators of phishing among a sample of 120 ... See full document
20
Artificial Immune System Based Classification Approach for Detecting Phishing Mails
... classified features-based many techniques. The classification can be done via many methods, such as by features extraction, machine learning technique or by clustering ... See full document
8
CANTINA: A Content-Based Approach to Detecting Phishing Web Sites
... a web page is legitimate while having a minimal impact on the user ...of phishing sites is not ...identify phishing URLs in web server referer logs, or it could be used by web ... See full document
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Extraction of Features and Classification on Phishing Websites using Web Mining Techniques
... Website Phishing is serious web security problem that involves mirroring genuine websites to deceive online users in order to steal their sensitive ...information. Phishing can be seen as a typical ... See full document
11
Machine Learning Techniques For Detecting Untrusted Pages on the Web
... number of methods, such as repeating unrelated phrases, to manipulate the relevancy or prominence of resources indexed by a search engine, in a manner inconsistent with the purpose of the indexing system. Some consider ... See full document
49
Understanding Phishing and Phishing Techniques in Client-Side Web-Based Systems
... good sites as fraudulent or thinking phishing sites as ...the web page content but not look at browser-based cues such as the address bar and status ...make phishing attacks far ... See full document
12
Detecting Obfuscated Scripts With Machine Learning Techniques
... supervised machine learning based intrusion detection systems (IDS) can be used for monitoring and detecting such malicious ...of detecting obfuscated PowerShell scripts with ... See full document
58
Phishing Website Detection based on Machine Learning
... the web spoofing attack by The present ...the web user against such attack. In web spoofing attack, the attacker diverts the request to fake web ...system based on inspecting the URLs ... See full document
5
Machine Learning & its Classification Techniques
... INTRODUCTION: Machine T Learning T is T an T approach T or T subset T of T Artificial T Intelligence T that T is T based T on T the T idea T that T machines T can T be T given T access T to T data T ... See full document
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