INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Cyber-attacks have become an international threat worldwide - confidential and secret data is being compromised which can harm national security. Two domains of the IT industry are majorly compromised which primarily consists of information processing and physical infrastructure supporting the first domain. Phishing is one of the most popular attacks that malicious groups carry out towards the general users. Phishing is the vindictive attempts to gain sensitive information like username, passwords, credit card information etc. which is often disguised as trustworthy source to the innocent users. When combined with Social engineering which often differs for different users, they may find very tempting to log in their credentials. This makes phishing one of the most dangerous and malignant attack. Although Phishing websites are very common, there are numerous methods to detect are prevent these attacks. These range from URL detection where a phishing website can be detected using some of the key features based on their Uniform Resource Locator to the use of Machine Learning Algorithms like Random Forest, Artificial Neural Network or Select Vector Method so that to stop these websites dynamically. There are also some methods that use Blacklist approach, where the system refers to anti-phishing repositories like Phishtank or Yahoo Phishing database to check whether the site is a phishing website or a legitimate one. This review paper explains many different methods used for the detection and prevention of phishing websites explaining the above-mentioned techniques in much more detail and also many other methods that help the users stay safe and secure from this type vicious attack.
Keywords:
Phishing attack, URL, Machine learning, Anti-phishing repositories, Social Engineering.
Cite Article:
"A Brief Review of Phishing Detection and Prevention Methods", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.257 - 262, December-2018, Available :http://www.ijsdr.org/papers/IJSDR1812043.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1812043
Registration ID:180895
Published In: Volume 3 Issue 11, December-2018
DOI (Digital Object Identifier):
Page No: 257 - 262
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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