نتایج جستجو برای: phishing detection
تعداد نتایج: 567318 فیلتر نتایج به سال:
Phishing websites continue to successfully exploit user vulnerabilities in household and enterprise settings. Existing anti-phishing tools lack the accuracy and generalizability needed to protect Internet users and organizations from the myriad of attacks encountered daily. Consequently, users often disregard these tools’ warnings. In this study, using a design science approach, we propose a no...
Phishing/Spam is an attack that deals with social engineering methodology to illegally acquire and use someone else’s data on behalf of legitimate website for own benefits. Phishing emails are messages designed to fool the recipient into handing over personal information, such as login names, passwords, credit card numbers, account credentials, social security numbers etc. Fraudulent emails har...
Phishing is a security threat with serious effects on individuals as well the targeted brands. Although this has been around for quite long time, it still very active and successful. In fact, tactics used by attackers have evolving continuously in years to make attacks more convincing effective. context, phishing detection of primary importance. The literature offers many diverse solutions that...
Phishing exhibits characteristics of asymmetric conflict and guerrilla warfare. Phishing sites, upon detection, are subject to removal by takedown specialists. In response, phishers create large numbers of new phishing attacks to evade detection and stretch the resources of the defenders. We propose the Colonel Blotto Phishing (CBP) game, a twostage Colonel Blotto game with endogenous dimension...
Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...
Phishing – a hotbed of multibillion dollar underground economy – has become an important cybersecurity problem. The centralized blacklist approach used by most web browsers usually fails to detect zero-day attacks, leaving the ordinary users vulnerable to new phishing schemes; therefore, learning machine based approaches have been implemented for phishing detection. Many existing techniques in ...
This study examines resolution skills in phishing email detection, defined as the abilities of individuals to discern correct judgments from incorrect judgments in probabilistic decisionmaking. An illustration of the resolution skills is provided. A number of antecedents to resolution skills in phishing email detection, including familiarity with the sender, familiarity with the email, online t...
The internet and its various services have made users to easily communicate with each other. Internet benefits including online business and e-commerce. E-commerce has boosted online sales and online auction types. Despite their many uses and benefits, the internet and their services have various challenges, such as information theft, which challenges the use of these services. Information thef...
Phishing emails are messages designed to fool the recipient into handing over personal information, such as login names, passwords, credit card numbers, account credentials, social security numbers etc. Fraudulent emails harm their victims through loss of funds and identity theft. They also hurt Internet business, because people lose their trust in Internet transactions for fear that they will ...
Phishing (password + fishing) is a form of cyber crime based on social engineering and site spoofing techniques. The name of ‘phishing’ is a conscious misspelling of the word 'fishing' and involves stealing confidential data from a user’s computer and subsequently using the data to steal the user’s money. In this paper, we study, discuss and propose the phishing attack stages and types, technol...
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