Detection and classification of phishing websites
نویسندگان
چکیده
In the direct simulation Monte Carlo method and multi-phase flow calculations, structured unstructured grid systems for complex geometries necessitate time-consuming process of searching a large number cells to position target particles.
منابع مشابه
Detection and Prediction of Phishing Websites using Classification Mining Techniques
Phishing is serious web security problem that involves mimicking legitimate websites to deceive online users in order to steal their sensitive information. Phishing can be seen as a typical classification problem in data mining where the classifier is constructed from large number of website’s features.There are high demands on identifying the best set of features that when mined the predictive...
متن کاملIntelligent rule-based phishing websites classification
Phishing is described as the art of emulating a website of a creditable firm intending to grab user’s private information such as usernames, passwords and social security number. Phishing websites comprise a variety of cues within its content-parts as well as browser-based security indicators. Several solutions have been proposed to tackle phishing. Nevertheless, there is no single magic bullet...
متن کاملDetection of E - Banking Phishing Websites
Phishing is a new type of network attack where the attacker creates a replica of an existing web page to fool users in to submitting personal, financial, or password data to what they think is their service provider‟s website. The concept is an end-host based anti-phishing algorithm, called the Link Guard, by utilizing the generic characteristics of the hyperlinks in phishing attacks. The link ...
متن کاملPhishing Websites Classification using Hybrid SVM and KNN Approach
Phishing is a potential web threat that includes mimicking official websites to trick users by stealing their important information such as username and password related to financial systems. The attackers use social engineering techniques like email, SMS and malware to fraud the users. Due to the potential financial losses caused by phishing, it is essential to find effective approaches for ph...
متن کاملA new fast associative classification algorithm for detecting phishing websites
Associative classification (AC) is a new, effective supervised learning approach that aims topredict unseen instances. AC effectively integrates association rule mining and classification, and produces more accurate results than other traditional data mining classification algorithms. In this paper, we propose a new AC algorithm called the Fast Associative Classification Algorithm (FACA). We in...
متن کاملذخیره 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: Trends in computer science and information technology
سال: 2021
ISSN: ['2641-3086']
DOI: https://doi.org/10.17352/tcsit.000040