Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks
The widespread adoption of Internet of Things (IoT) devices has increased exponentially in
recent years. Consequently, the security risks and vulnerabilities related to these unsecured …
recent years. Consequently, the security risks and vulnerabilities related to these unsecured …
Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
A holistic approach for detecting DDoS attacks by using ensemble unsupervised machine learning
Abstract Distributed Denial of Service (DDoS) has been the most prominent attack in cyber-
physical system over the last decade. Defending against DDoS attack is not only …
physical system over the last decade. Defending against DDoS attack is not only …
FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …
security and privacy concerns more acute. Attacks such as distributed denial of service …
IoT DDoS attacks detection using machine learning techniques: A Review
A Ashraf, WM Elmedany - … on Data Analytics for Business and …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) is the paradigm that is revolutionizing our daily lives. It has become an
important part of our lives due to its ability to transform lives. More and more organizations …
important part of our lives due to its ability to transform lives. More and more organizations …
LUCID: A practical, lightweight deep learning solution for DDoS attack detection
R Doriguzzi-Corin, S Millar… - … on Network and …, 2020 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …
Detection and characterization of ddos attacks using time-based features
J Halladay, D Cullen, N Briner, J Warren, K Fye… - IEEE …, 2022 - ieeexplore.ieee.org
In today's evolving cybersecurity landscape, distributed denial-of-service (DDoS) attacks
have become one of the most prolific and costly threats. Their capability to incapacitate …
have become one of the most prolific and costly threats. Their capability to incapacitate …
Investigation on Efficient Machine Learning Algorithm for DDoS Attack Detection
RS Devi, R Bharathi, PK Kumar - … International Conference on …, 2023 - ieeexplore.ieee.org
Internet of Things (IOT) is a general term for all interconnected devices as well as the
technology that enables object-to-object and cloud-to-object communication. However, there …
technology that enables object-to-object and cloud-to-object communication. However, there …
Ddos attack detection in iot networks using deep learning models combined with random forest as feature selector
MB Farukee, MSZ Shabit, MR Haque… - Advances in Cyber …, 2021 - Springer
Due to the major advancements and finesse earned in technology, the internet and
communication fields have seen a ground-breaking breakthrough by incorporating …
communication fields have seen a ground-breaking breakthrough by incorporating …
Edge-HetIoT defense against DDoS attack using learning techniques
The heterogeneous nature of the internet-of-thing (IoT) is gaining popularity and,
simultaneously, faces rising security issues. The distributed denial of service (DDoS) attack …
simultaneously, faces rising security issues. The distributed denial of service (DDoS) attack …