Deep Learning with Convolutional Neural Network and Long Short-Term Memory for Phishing Detection

被引：15
|
作者：
Adebowale, M. A. [1 ]
Lwin, K. T. [2 ]
Hossain, M. A. [2 ]
机构：
[1] Anglia Ruskin Univ, Sch Comp & Informat Sci, Chelmsford, England
[2] Teesside Univ, Sch Comp & Digital Technol, Middlesbrough, Cleveland, England
来源：
2019 13TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA) | 2019年
关键词：
Phishing detection; Cybercrime; Deep learning (DL); Convolutional Neural Network (CNN); Long Short-Term Memory (LSTM); Big data; Universal Resource Locator (URL);
D O I：
10.1109/skima47702.2019.8982427
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Phishers sometimes exploit users' trust of a known website's appearance by using a similar page that looks like the legitimate site. In recent times, researchers have tried to identify and classify the issues that can contribute to the detection of phishing websites. This study focuses on design and development of a deep learning based phishing detection solution that leverages the Universal Resource Locator and website content such as images and frame elements. A Convolutional Neural Network (CNN) and the Long Short-Term Memory (LSTM) algorithm were used to build a classification model. The experimental results showed that the proposed model achieved an accuracy rate of 93.28%.
引用
收藏
页数：8
相关论文
共 50 条
  • [1] Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory
    Jihado, Anindra Ageng
    Girsang, Abba Suganda
    [J]. JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY, 2024, 15 (02) : 219 - 232
  • [2] Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder
    Geremew, Getahun Wassie
    Ding, Jianguo
    [J]. JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2023, 2023
  • [3] A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
    Tian, Chujie
    Ma, Jian
    Zhang, Chunhong
    Zhan, Panpan
    [J]. ENERGIES, 2018, 11 (12)
  • [4] Deep Learning for Price Movement Prediction Using Convolutional Neural Network and Long Short-Term Memory
    Yang, Can
    Zhai, Junjie
    Tao, Guihua
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [5] Emotion detection using convolutional neural network and long short-term memory: a deep multimodal framework
    Tahir, Madiha
    Halim, Zahid
    Waqas, Muhammad
    Sukhia, Komal Nain
    Tu, Shanshan
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (18) : 53497 - 53530
  • [6] Emotion detection using convolutional neural network and long short-term memory: a deep multimodal framework
    Madiha Tahir
    Zahid Halim
    Muhammad Waqas
    Komal Nain Sukhia
    Shanshan Tu
    [J]. Multimedia Tools and Applications, 2024, 83 : 53497 - 53530
  • [7] Early Detection of Potato Disease Using an Enhanced Convolutional Neural Network-Long Short-Term Memory Deep Learning Model
    Alzakari, Sarah A.
    Alhussan, Amel Ali
    Qenawy, Al-Seyday T.
    Elshewey, Ahmed M.
    [J]. POTATO RESEARCH, 2024,
  • [8] Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
    Ghimire, Sujan
    Deo, Ravinesh C.
    Raj, Nawin
    Mi, Jianchun
    [J]. APPLIED ENERGY, 2019, 253
  • [9] Monthly climate prediction using deep convolutional neural network and long short-term memory
    Guo, Qingchun
    He, Zhenfang
    Wang, Zhaosheng
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [10] Driver drowsiness detection using hybrid convolutional neural network and long short-term memory
    Guo, Jing-Ming
    Markoni, Herleeyandi
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (20) : 29059 - 29087
12345