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Showing 1 to 10 of 10 for “"Phishing detection"”.

  1. The Effectiveness of Firefly and Greywolf Algorithm Techniques in the Detection of Phishing Intrusion within Cloud-Based Systems

    Phishing attacks continue to pose significant threats to cyber security, particularly in cloud-based systems that are heavily reliant on user authentication and remote access mechanisms. These attacks exploit system vulnerabilities to deceive users and gain unauthorized access to sensitive data, …

    alabama Repository record for The Effectiveness of Firefly and Greywolf Algorithm Techniques in the Detection of Phishing Intrusion within Cloud-Based Systems (opens in a new tab)

  2. Phishing website detection using intelligent data mining techniques. Design and development of an intelligent association classification mining fuzzy based scheme for phishing website detection with an emphasis on E-banking.

    Phishing techniques have not only grown in number, but also in sophistication. Phishers might have a lot of approaches and tactics to conduct a well-designed phishing attack. The targets of the phishing attacks, which are mainly on-line banking consumers and payment service providers, are facing …

    bradford Repository record for Phishing website detection using intelligent data mining techniques. Design and development of an intelligent association classification mining fuzzy based scheme for phishing website detection with an emphasis on E-banking. (opens in a new tab)

  3. Design and development of a machine learning-based framework for phishing website detection

    Phishing is a social engineering cyber attack to steal personal information from users. Attackers solicit individuals to click phishing links by sending them emails or social media text messages with deceptive content. With the development and applications of machine learning technology, solutions …

    uoit Repository record for Design and development of a machine learning-based framework for phishing website detection (opens in a new tab)

  4. AN ENHANCEMENT ON TARGETED PHISHING ATTACKS IN THE STATE OF QATAR

    The latest report by Kaspersky on Spam and Phishing, listed Qatar as one of the top 10 countries by percentage of email phishing and targeted phishing attacks. Since the Qatari economy has grown exponentially and become increasingly global in nature, email phishing and targeted phishing attacks …

    liverpool-jm Repository record for AN ENHANCEMENT ON TARGETED PHISHING ATTACKS IN THE STATE OF QATAR (opens in a new tab)

  5. A Measurement Approach to Understanding the Data Flow of Phishing From Attacker and Defender Perspectives

    Phishing has been a big concern due to its active roles in recent data breaches and state- sponsored attacks. While existing works have extensively analyzed phishing websites and detection methods, there is still a limited understanding of the data flow of the phishing process. In this thesis, we …

    vt Repository record for A Measurement Approach to Understanding the Data Flow of Phishing From Attacker and Defender Perspectives (opens in a new tab)

  6. Robustifying Machine Learning based Security Applications

    … retraining. The second application is bot detection. We show that the performance of existing machine learning models is not effective if we only have the limit attackers' data. We develop a data synthesis method to address this problem. The key novelty is that our method is distribution …

    vt Repository record for Robustifying Machine Learning based Security Applications (opens in a new tab)

  7. Real-Time Intelligent Detection System Designs for Web Phishing Attacks

    Phishing attacks are still a growing concern for many individuals and organizations worldwide. They steal user credentials and serve as a gateway for approximately 90% of cybersecurity breaches. Therefore, it has become an important issue that needs to be solved. Most organizations worldwide train …

    alabama Repository record for Real-Time Intelligent Detection System Designs for Web Phishing Attacks (opens in a new tab)

  8. Study on Adversarial Robustness of Phishing Email Detection Models

    Developing robust detection models against phishing emails has long been a main concerns of the cyber defense community. Currently public phishing/legitimate datasets are lack adversarial email examples which keeps the detection models vulnerable. To address this problem, we developed an augmented …

    houston Repository record for Study on Adversarial Robustness of Phishing Email Detection Models (opens in a new tab)

  9. Deriving Classifiers with Single and Multi-Label Rules using New Associative Classification Methods

    … problem related to web threats called “website phishing detection” was deeply investigated where a technical solution based on AC has been introduced in Chapter 6. Particularly, we were able to detect new type of knowledge and enhance the detection rate with respect to error rate using our …

    de-montfort Repository record for Deriving Classifiers with Single and Multi-Label Rules using New Associative Classification Methods (opens in a new tab)

  10. Detekce maligních domén s využitím AI

    … na šírenie škodlivého kódu, uskutočňovanie phishingových útokov a komunikáciu s napadnutými systémami prostredníctvom domén generovaných algoritmami (DGA). Cieľom tejto práce je navrhnúť a vyhodnotiť modely pre ich detekciu s využitím neurónových sietí postavených na transformerovej …

    brno-tech Repository record for Detekce maligních domén s využitím AI (opens in a new tab)