Detecting phishing web pages based on DOM-tree structure and graph matching algorithm

Nguyen, Le Dang; Le, Dac‐Nhuong; Vĩnh, Lê Trọng

doi:10.1145/2676585.2676596

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…Lorenz [ 5 ], an extension of the Lorenz system, proposed the first chaotic nonlinear system. The mechanics of liquid flows' calorific convection are simulated using the Lorenz system's messy structure [ 13 ]. Many chaotic and super-chaotic complex systems with nonlinear quadratic conditions have been proposed in [ 13 – 15 ].…”

Section: Introductionmentioning

confidence: 99%

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[Retracted] Secure Complex Systems: A Dynamic Model in the Synchronization

Hamad

Thivagar

Alshudukhi

et al. 2021

Computational Intelligence and Neuroscience

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Chaotic systems are one of the most significant systems of the technological period because their qualities must be updated on a regular basis in order for the speed of security and information transfer to rise, as well as the system’s stability. The purpose of this research is to look at the special features of the nine-dimensional, difficult, and highly nonlinear hyperchaotic model, with a particular focus on synchronization. Furthermore, several criteria for such models have been examined; Hamiltonian, synchronizing, Lyapunov expansions, and stability are some of the terms used. The geometrical requirements, which play an important part in the analysis of dynamic systems, are also included in this research due to their importance. The synchronization and control of complicated networks’ most nonlinear control is important to use and is based on two major techniques. The linearization approach and the Lyapunov stability theory are the foundation for attaining system synchronization in these two ways.

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Section: Introductionmentioning

confidence: 99%

“…The mechanics of liquid flows' calorific convection are simulated using the Lorenz system's messy structure [ 13 ]. Many chaotic and super-chaotic complex systems with nonlinear quadratic conditions have been proposed in [ 13 – 15 ]. The Lorenz equation is used to combine these systems with nonlinear quadratic components.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Secure Complex Systems: A Dynamic Model in the Synchronization

Hamad

Thivagar

Alshudukhi

et al. 2021

Computational Intelligence and Neuroscience

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“…DOMAntiPhish (Rosiello et al, 2007), one such technique, uses the Document Object Model (DOM) similarity between two pages through a defined function in detection. Nguyen et al (2014b) proposed another DOM tree-based approach to overcome the arouse issues in Rosiello's approach through a two-way similarity comparison technique. PhishZoo (Afroz and Greenstadt, 2011), which used a profile based technique with an accuracy of 96.1%, is used URL of the website, SSL certificate, and web content like HTML, images, and scripts.…”

Section: Software-based Detectionmentioning

confidence: 99%

Detecting phishing attacks using a combined model of LSTM and CNN

Ariyadasa¹

2020

Int. j. adv. appl. sci.

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Phishing, a social engineering crime which has been existing for more than two decades, has gained significant research attention to find better solutions to face against the very dynamic strategies of phishing. The financial sector is the primary target of phishing, and there are many different approaches to combat phishing attacks. Software-based detection approaches are more prominent in phishing detection; however, still, there is no robust solution that can stable for a long period. The primary purpose of this paper is to propose a novel solution to detect phishing attacks using a combined model of LSTM and CNN deep networks with the use of both URLs and HTML pages. The URLs are learned using an LSTM network with 1D convolutional, and another 1D convolutional network is used to learn the HTML features. These two networks were trained separately and combined through a sigmoid layer by dropping the last layer of each model to have the proposed model. The proposed model reached 98.34% in terms of accuracy, and that is above the previously recorded highest accuracy of 97.3% among the detection models used both URL and HTML features in the explored literature. The solution requires feature extraction only with HTML pages, and URLs were directly fed with a minimum pre-processing. Although the proposed solution uses extracted HTML features, those do not depend on third-party services. Therefore, an efficient real-time application can be implemented using the proposed model to detect phishing attacks to safeguard Internet users.

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