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Classification of Spoofing Attack Detection using Deep Learning Algorithms

Verma, Shreya (2022) Classification of Spoofing Attack Detection using Deep Learning Algorithms. Masters thesis, Dublin, National College of Ireland.

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The spoofing attack detections are mostly used in day to day lives, like payment application, security application, phone password, bank account payment and so many with the advancement of the technology the spoofing attacks and cyber attacks are increasing very fast and with the newer technology the spoofing attack are not easily detected by the photos and videos of the authenticated person. The attacks take the photos of the particular person from the social media or any networking site and use the as the fake photo to hack the person’s credentials and the passwords which may cause the cyber attacks and spoofing attacks. In photo frames and live photo the some temporal features like facial movement like eye movement, mouth movement are very difficult to detect. The main objective of our study is to provide the classification of the Biometric spoofing attack detection using deep learning algorithms. The convolution neural network is used to detect the biometric spoofing attack detection the models which were used for research are MobileNetV2, VGG16, ResNet50, regular CNN model to extract the facial feature and provide the accurate results. The study of the research also explains the classification of the images, computer vision techniques and the image predictions for the spoofing attack detection. The main objective is to identify the spoofing attack detection

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 14 Mar 2023 12:58
Last Modified: 14 Mar 2023 12:58

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