Learning a deep neural network for predicting phishing website

Learning a deep neural network for predicting phishing website

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Opis bibliograficzny
Główni autorzy:	Das, Robat, Hossain, Md. Mukhter, Islam, Shariful, Siddiki, Abujarr
Kolejni autorzy:	Alam, Md. Ashraful
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2019
Hasła przedmiotowe:	Neural network Phishing attack Scheming Machine learning LSTM Neural networks (Computer science) Machine learning.
Dostęp online:	http://hdl.handle.net/10361/12395

Podobne zapisy

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i wsp.
Wydane: (2021)

Crop prediction based on geographical and climatic data using machine learning and deep learning
od: Alif, Al Amin, i wsp.
Wydane: (2019)

A machine learning approach to detect DeepFake videos
od: Hassan, Md. Mahedi, i wsp.
Wydane: (2021)

Hybrid recommendation system of intelligent captioning using deep learning networks
od: Wasi, Ahamed Al, i wsp.
Wydane: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i wsp.
Wydane: (2023)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
od: Pasha, Maroof Ur Rahman
Wydane: (2016)

An efficient deep learning approach to classify white blood cells
od: Turja, Afif Ibna Kadir Khan, i wsp.
Wydane: (2024)

Using deep learning algorithms to detect violent activities
od: Ammar, S.M. Rojin, i wsp.
Wydane: (2019)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
od: Ahmed, Istiak, i wsp.
Wydane: (2023)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
od: Siddique, Labib Ahmed, i wsp.
Wydane: (2022)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
od: Iqbal, Shahriar, i wsp.
Wydane: (2023)

A deep learning approach for prediction of ADHD using brain structure
od: Siam, Shafin Ahad, i wsp.
Wydane: (2024)

Classification of different magnetic structures from image data using deep neural networks
od: Ibn Hasib, Fahad, i wsp.
Wydane: (2023)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
od: Barua, Debalina
Wydane: (2023)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
od: Sarwar, Arafat, i wsp.
Wydane: (2023)

A machine learning approach to predict movie box-office success
od: Quader, Nahid, i wsp.
Wydane: (2018)

Predicting crime using deep learning
od: Shihab, Muhammad Nafees, i wsp.
Wydane: (2024)

Detection of handwritten text using convolutional neural network
od: Jasim, Rabib Bin, i wsp.
Wydane: (2024)

Classification of retinal diseases from OCT images using deep learning models
od: Mokarrom, Md Saif, i wsp.
Wydane: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
od: Shaheen, Munia, i wsp.
Wydane: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i wsp.
Wydane: (2022)

An android application to predict human activity using a deep learning LSTM model
od: Sikder, Debabrata
Wydane: (2024)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
od: Rafi, Abdullah Hasan Sajjad, i wsp.
Wydane: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
od: Ferdous, Md.Rubaiat, i wsp.
Wydane: (2024)

Automated fabric color prediction
od: Muhtashima, Fawzia, i wsp.
Wydane: (2024)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
od: Chakraborty, Dhruba, i wsp.
Wydane: (2022)

Brain tumor detection with convolutional neural network
od: Galib, Abrar Tahmid, i wsp.
Wydane: (2024)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, i wsp.
Wydane: (2018)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
od: Sikder, Shihab Uddin, i wsp.
Wydane: (2022)

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
od: Siam, F. M. Jamius, i wsp.
Wydane: (2021)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
od: Arafat, Sheikh Mohammad, i wsp.
Wydane: (2021)

Predicting temperature of major cities using machine learning and deep learning
od: Jaharabi, Wasiou, i wsp.
Wydane: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
od: Ifty, Md. Hasin Sarwar, i wsp.
Wydane: (2024)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
od: Datta, Nirjhor, i wsp.
Wydane: (2024)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
od: Ishrak, Gazi Hasin, i wsp.
Wydane: (2022)

Leveraging sequential deep learning models for detecting multitude of human action categories
od: Pranta, Kazi Al Refat, i wsp.
Wydane: (2024)

An efficient ML approach to detect brain tumor using MRI images
od: Muktadir, MD. Arafat, i wsp.
Wydane: (2024)

Deep learning based early Glaucoma detection
od: Islam, Aabrar, i wsp.
Wydane: (2024)