Hybrid Client Side Phishing Websites Detection Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 7
Abstract
Phishing tricks to steal personal or credential information by entering victims into a forged website similar to the original site, and urging them to enter their information believing that this site is legitimate. The number of internet users who are becoming victims of phishing attacks is increasing beside that phishing attacks have become more sophisticated. In this paper we propose a client-side solution to protect against phishing attacks which is a Firefox extension integrated as a toolbar that is responsible for checking whether recipient website is trusted or not by inspecting URLs of each requested webpage. If the site is suspicious the toolbar is going to block it. Every URL is evaluated corresponding to features extracted from it. Three heuristics (primary domain, sub domain, and path) and Naïve Bayes classification using four lexical features combined with page ranking received from two different services (Alexa, and Google page rank) used to classify URL. The proposed method requires no server changes and will prevent internet users from fraudulent sites especially from phishing attacks based on deceptive URLs. Experimental results show that our approach can achieve 48% accuracy ratio using a test set of 246 URL, and 87.5% accuracy ratio by excluding NB addition tested over 162 URL.
Authors and Affiliations
Firdous Kausar, Bushra Al-Otaibi, Asma Al-Qadi, Nwayer Al-Dossari
Keywords
Related Articles
- EP ID EP142181
- DOI 10.14569/IJACSA.2014.050720
- Views 107
- Downloads 0
Dynamic Clustering for Information Retrieval from Big Data Depending on Compressed Files
The rapid growth in the database data led to origination a large amount of data. So, it is still a big problem to access this data for answering user queries. In this paper a novel approach for aggregating the required d...
Trust and Security Concerns of Cloud Storage: An Indonesian Technology Acceptance
Cloud drive is a service that offers data storage on the cloud. As the worldwide rapid growth of cloud drive there are ongoing concerns about trust, privacy and security concerns about how the user’s personal information...
Representation Modeling Persona by using Ontologies: Vocabulary Persona
Semantic Web is then to add to all these resources semantics that allow computer systems to "understand" the meaning by accessing structured collections of information and inference rules that can be used to drive reason...
AES-Route Server Model for Location based Services in Road Networks
The now ubiquitous use of Location based services (LBS), within the mobile computing domain, has enabled users to receive accurate points of interest (POI) to their geo-tagged queries. While location-based services provi...
Underwater Optical Fish Classification System by Means of Robust Feature Decomposition and Analysis using Multiple Neural Networks
Live fish recognition and classification play a pivotal role in underwater understanding, because it help scientists to control the subsea inventory in order to aid fishery management. However, despite technological prog...