A Machine Learning Approach for URL Based Web Phishing Using Fuzzy Logic as Classifier
Title | A Machine Learning Approach for URL Based Web Phishing Using Fuzzy Logic as Classifier |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Chapla, Happy, Kotak, Riddhi, Joiser, Mittal |
Conference Name | 2019 International Conference on Communication and Electronics Systems (ICCES) |
Publisher | IEEE |
ISBN Number | 978-1-7281-1261-9 |
Keywords | classifier, Computer crime, Conferences, credential information, data mining, Databases, feature extraction, financial information, Fuzzy logic, fuzzy logic classifier, Human Behavior, human factors, Internet, learning (artificial intelligence), machine learning, pattern classification, phishing, phishing attacks, Phishing Detection, phishing site, phishing URL, pubcrawl, security of data, Uniform resource locators, URL based Web phishing, Web mining, Web sites |
Abstract | Phishing is the major problem of the internet era. In this era of internet the security of our data in web is gaining an increasing importance. Phishing is one of the most harmful ways to unknowingly access the credential information like username, password or account number from the users. Users are not aware of this type of attack and later they will also become a part of the phishing attacks. It may be the losses of financial found, personal information, reputation of brand name or trust of brand. So the detection of phishing site is necessary. In this paper we design a framework of phishing detection using URL. |
URL | https://ieeexplore.ieee.org/document/9002145 |
DOI | 10.1109/ICCES45898.2019.9002145 |
Citation Key | chapla_machine_2019 |
- learning (artificial intelligence)
- Web sites
- Web Mining
- URL based Web phishing
- Uniform resource locators
- security of data
- pubcrawl
- phishing URL
- phishing site
- Phishing Detection
- phishing attacks
- Phishing
- pattern classification
- machine learning
- classifier
- internet
- Human Factors
- Human behavior
- fuzzy logic classifier
- Fuzzy logic
- financial information
- feature extraction
- Databases
- Data mining
- credential information
- Conferences
- Computer crime