Experimental Study Of Feature Weighting Techniques For URL Based Webpage Classification

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Supervised Term Weighting Methods for URL Classification

Many term weighting methods are suggested in the literature for Information Retrieval and Text Categorization. Term weighting method, a part of feature selection process is not yet explored for URL classification problem. We classify a web page using its URL alone without fetching its content and hence URL based classification is faster than other methods. In this study, we investigate the use ...

متن کامل

Efficient Malicious URL based on Feature Classification

Deceitful and malicious web sites pretense significant danger to desktop security, integrity and privacy. Malicious web pages that use drive-by download attacks or social engineering techniques to install unwanted software on a user‘s computer have become the main opportunity for the proliferation of malicious code. Detection of malicious URL has become difficult because of the phishing campaig...

متن کامل

Webpage Classification based on Compound of Using HTML Features & URL Features and Features of Sibling Pages

Webpage classification plays an important role in information organization and retrieval. It involves assignment of one webpage to one or more than one predetermined categories. The uncontrolled features of web content implies that more work is required for webpage classification compared with traditional text classification. The interconnected nature of hyper text, however, carries some featur...

متن کامل

A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection

K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...

متن کامل

Feature-based Malicious URL and Attack Type Detection Using Multi-class Classification

Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Procedia Computer Science

سال: 2017

ISSN: 1877-0509

DOI: 10.1016/j.procs.2017.09.128