Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281884841> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4281884841 abstract "Artificial Intelligence and Machine Learning technologies have become a crucial tool for the identification and detection of phishing URLs from samples with a reduced inspection time while avoiding human errors due to inconsistency and fatigue. The “blacklisting” approach, which involves the recording of IP address of servers as well as blacklisted URLs to an antivirus database, is a standard and well-known method for detecting phishing sites. To bypass the blacklisting defense layer, attackers employ a variety of sophisticated techniques to deceive users, including altering the URLs to make them look genuine through obfuscation and other methods. However, using such techniques have its own drawbacks such as false-positive results. To beat the downsides of the blacklisting method, security researchers are looking for ways to adapt and work on several Deep Learning technologies. Therefore, it is very important to develop a model that intelligently detects phishing URLs using small training data with higher accuracy. In addition, it is also crucial to increase our efficiency of detection to ensure that our system is free from phishing and malicious URLs. In this paper, we have proposed a neural network named Autoencoder which employs outlier analysis to discriminate and classify websites as genuine or phishing websites. The algorithm analyzes several fake and genuine URLs and study their features to precisely identify the phishing sites including those that are made in real-time also known as zero-hour phishing websites utilizing this approach." @default.
- W4281884841 created "2022-06-13" @default.
- W4281884841 creator A5041324488 @default.
- W4281884841 creator A5064570061 @default.
- W4281884841 date "2022-03-25" @default.
- W4281884841 modified "2023-09-29" @default.
- W4281884841 title "Intelligent Phishing Website Detection Using Deep Learning" @default.
- W4281884841 cites W2185563110 @default.
- W4281884841 cites W2771035496 @default.
- W4281884841 cites W2909737018 @default.
- W4281884841 cites W2948344613 @default.
- W4281884841 cites W2970845521 @default.
- W4281884841 cites W2996625456 @default.
- W4281884841 cites W3037276035 @default.
- W4281884841 cites W3047536849 @default.
- W4281884841 cites W3048357462 @default.
- W4281884841 cites W3111962011 @default.
- W4281884841 cites W3158976636 @default.
- W4281884841 doi "https://doi.org/10.1109/icaccs54159.2022.9785003" @default.
- W4281884841 hasPublicationYear "2022" @default.
- W4281884841 type Work @default.
- W4281884841 citedByCount "5" @default.
- W4281884841 countsByYear W42818848412022 @default.
- W4281884841 countsByYear W42818848412023 @default.
- W4281884841 crossrefType "proceedings-article" @default.
- W4281884841 hasAuthorship W4281884841A5041324488 @default.
- W4281884841 hasAuthorship W4281884841A5064570061 @default.
- W4281884841 hasConcept C108583219 @default.
- W4281884841 hasConcept C110875604 @default.
- W4281884841 hasConcept C119857082 @default.
- W4281884841 hasConcept C136764020 @default.
- W4281884841 hasConcept C154945302 @default.
- W4281884841 hasConcept C2779797433 @default.
- W4281884841 hasConcept C2781345505 @default.
- W4281884841 hasConcept C38652104 @default.
- W4281884841 hasConcept C40305131 @default.
- W4281884841 hasConcept C41008148 @default.
- W4281884841 hasConcept C83860907 @default.
- W4281884841 hasConcept C93996380 @default.
- W4281884841 hasConceptScore W4281884841C108583219 @default.
- W4281884841 hasConceptScore W4281884841C110875604 @default.
- W4281884841 hasConceptScore W4281884841C119857082 @default.
- W4281884841 hasConceptScore W4281884841C136764020 @default.
- W4281884841 hasConceptScore W4281884841C154945302 @default.
- W4281884841 hasConceptScore W4281884841C2779797433 @default.
- W4281884841 hasConceptScore W4281884841C2781345505 @default.
- W4281884841 hasConceptScore W4281884841C38652104 @default.
- W4281884841 hasConceptScore W4281884841C40305131 @default.
- W4281884841 hasConceptScore W4281884841C41008148 @default.
- W4281884841 hasConceptScore W4281884841C83860907 @default.
- W4281884841 hasConceptScore W4281884841C93996380 @default.
- W4281884841 hasLocation W42818848411 @default.
- W4281884841 hasOpenAccess W4281884841 @default.
- W4281884841 hasPrimaryLocation W42818848411 @default.
- W4281884841 hasRelatedWork W1491018131 @default.
- W4281884841 hasRelatedWork W1525583812 @default.
- W4281884841 hasRelatedWork W1985920648 @default.
- W4281884841 hasRelatedWork W2012575532 @default.
- W4281884841 hasRelatedWork W2039701975 @default.
- W4281884841 hasRelatedWork W2155719111 @default.
- W4281884841 hasRelatedWork W2290880970 @default.
- W4281884841 hasRelatedWork W2933056782 @default.
- W4281884841 hasRelatedWork W4281884841 @default.
- W4281884841 hasRelatedWork W83428783 @default.
- W4281884841 isParatext "false" @default.
- W4281884841 isRetracted "false" @default.
- W4281884841 workType "article" @default.