Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281554500> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4281554500 abstract "Crimes in the cyberspace are increasing day by day. Recent cyber threat defense reports states that 80.7% of the systems are compromised at least once in 2020. Cyber criminals taking the pandemic situation as an opportunity for the mass attack through malicious URL circulated by email or text messages in social media. Performing cyber-attacks through malicious URLs is the handy method for the cyber criminals. Protecting from such attacks requires proper awareness and solid defense system. Some of the common approaches followed by the cybercriminals to deceive the victims are 1. Phishing URLs which is very similar to the legitimate URLs. 2. Redirecting URLs 3. Using JavaScript, redirects to the phishing URL when user interacts with webpage 4. Social engineering etc. As soon as the novice internet users clicks on the malicious URL link, cyber criminals can easily steal personal information or install malware on their device to get additional access. Recently malicious URLs are generated algorithmically and uses URL shortening service to evade the existing security setup such as firewall and web filters. In literature, the researchers have proposed several ways to detect the malicious URLs but, new attack vectors that are introduced by the cyber criminals can easily bypass the security system. The purpose of this paper is to provide an overview of various malicious URL detection techniques which includes blacklist based, rules based, machine learning and deep learning-based techniques. Most importantly, the paper discusses the common features used by the detection system from webpages to classify the URL as malicious or benign and various performance metrics. This will encourage the new researchers to bring out the innovative solutions." @default.
- W4281554500 created "2022-05-27" @default.
- W4281554500 creator A5007645239 @default.
- W4281554500 creator A5044771843 @default.
- W4281554500 creator A5061643314 @default.
- W4281554500 creator A5062406807 @default.
- W4281554500 creator A5081852792 @default.
- W4281554500 date "2022-04-28" @default.
- W4281554500 modified "2023-10-14" @default.
- W4281554500 title "Survey on Malicious URL Detection Techniques" @default.
- W4281554500 cites W145737868 @default.
- W4281554500 cites W1980558234 @default.
- W4281554500 cites W1985920648 @default.
- W4281554500 cites W2361517492 @default.
- W4281554500 cites W2622810779 @default.
- W4281554500 cites W2728121559 @default.
- W4281554500 cites W2792144656 @default.
- W4281554500 cites W2950597530 @default.
- W4281554500 cites W3023514002 @default.
- W4281554500 cites W3203910845 @default.
- W4281554500 doi "https://doi.org/10.1109/icoei53556.2022.9777221" @default.
- W4281554500 hasPublicationYear "2022" @default.
- W4281554500 type Work @default.
- W4281554500 citedByCount "2" @default.
- W4281554500 countsByYear W42815545002022 @default.
- W4281554500 countsByYear W42815545002023 @default.
- W4281554500 crossrefType "proceedings-article" @default.
- W4281554500 hasAuthorship W4281554500A5007645239 @default.
- W4281554500 hasAuthorship W4281554500A5044771843 @default.
- W4281554500 hasAuthorship W4281554500A5061643314 @default.
- W4281554500 hasAuthorship W4281554500A5062406807 @default.
- W4281554500 hasAuthorship W4281554500A5081852792 @default.
- W4281554500 hasConcept C110875604 @default.
- W4281554500 hasConcept C136764020 @default.
- W4281554500 hasConcept C21959979 @default.
- W4281554500 hasConcept C2779797433 @default.
- W4281554500 hasConcept C2781241145 @default.
- W4281554500 hasConcept C2781345505 @default.
- W4281554500 hasConcept C38652104 @default.
- W4281554500 hasConcept C41008148 @default.
- W4281554500 hasConcept C541664917 @default.
- W4281554500 hasConcept C544833334 @default.
- W4281554500 hasConcept C70118762 @default.
- W4281554500 hasConcept C83860907 @default.
- W4281554500 hasConcept C84525096 @default.
- W4281554500 hasConceptScore W4281554500C110875604 @default.
- W4281554500 hasConceptScore W4281554500C136764020 @default.
- W4281554500 hasConceptScore W4281554500C21959979 @default.
- W4281554500 hasConceptScore W4281554500C2779797433 @default.
- W4281554500 hasConceptScore W4281554500C2781241145 @default.
- W4281554500 hasConceptScore W4281554500C2781345505 @default.
- W4281554500 hasConceptScore W4281554500C38652104 @default.
- W4281554500 hasConceptScore W4281554500C41008148 @default.
- W4281554500 hasConceptScore W4281554500C541664917 @default.
- W4281554500 hasConceptScore W4281554500C544833334 @default.
- W4281554500 hasConceptScore W4281554500C70118762 @default.
- W4281554500 hasConceptScore W4281554500C83860907 @default.
- W4281554500 hasConceptScore W4281554500C84525096 @default.
- W4281554500 hasLocation W42815545001 @default.
- W4281554500 hasOpenAccess W4281554500 @default.
- W4281554500 hasPrimaryLocation W42815545001 @default.
- W4281554500 hasRelatedWork W1525583812 @default.
- W4281554500 hasRelatedWork W1994344180 @default.
- W4281554500 hasRelatedWork W2005813008 @default.
- W4281554500 hasRelatedWork W2012575532 @default.
- W4281554500 hasRelatedWork W2290880970 @default.
- W4281554500 hasRelatedWork W2566526504 @default.
- W4281554500 hasRelatedWork W2766836609 @default.
- W4281554500 hasRelatedWork W2980552833 @default.
- W4281554500 hasRelatedWork W4220912467 @default.
- W4281554500 hasRelatedWork W4281554500 @default.
- W4281554500 isParatext "false" @default.
- W4281554500 isRetracted "false" @default.
- W4281554500 workType "article" @default.