Image Processing for Detecting Botnet Attacks: A Novel Approach for Flexibility and Scalability-Reference-Cited by-同舟云学术

Image Processing for Detecting Botnet Attacks: A Novel Approach for Flexibility and Scalability

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference and Expo on Real Time Communications at IIT (RTC)
language:
Short-container-title:

Author:

Agniel Aurelien¹,Arnold David¹,Saniie Jafar¹

Affiliation:

1. Illinois Institute of Technology,Embedded Computing and Signal Processing (ECAP) Research Laboratory,Department of Electrical and Computer Engineering,Chicago,IL,U.S.A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9944940/9945054/09945055.pdf?arnumber=9945055

Reference12 articles.

1. A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

2. An In-Depth Analysis of the Mirai Botnet

3. Botnet Detection in the Internet of Things using Deep Learning Approaches

4. Tackling Multiple Security Threats in an IoT Environment

5. Machine learning based botnet detection using real-time extracted traffic features;ranjan;US Patent,2014

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network Traffic Visualization Coupled With Convolutional Neural Networks for Enhanced IoT Botnet Detection;IEEE Access;2024

2. Botnet Attacks Detection using Image Processing Approach: Sequential Neural Network and Feature Selection;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Heterogeneity Tolerance in IoT Botnet Attack Classification;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18

4. Utilizing Computer Vision Algorithms to Detect and Classify Cyberattacks in IoT Environments in Real-Time;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18