DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Smart homes: How much will they support us? A research on recent trends and advances
The advances in the Internet of Things (IoT) provide several chances to develop a variety of
innovations supporting smart home users in several industries including healthcare, energy …
innovations supporting smart home users in several industries including healthcare, energy …
[HTML][HTML] Feature selection for intrusion detection system in Internet-of-Things (IoT)
P Nimbalkar, D Kshirsagar - ICT Express, 2021 - Elsevier
Abstract Internet of Things (IoT) is suffered from different types of attacks due to vulnerability
present in devices. Due to many IoT network traffic features, the machine learning models …
present in devices. Due to many IoT network traffic features, the machine learning models …
Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning
The modern Internet of Things (IoT)-based smart home is a challenging environment to
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
A feature reduction based reflected and exploited DDoS attacks detection system
D Kshirsagar, S Kumar - Journal of Ambient Intelligence and Humanized …, 2022 - Springer
The hacker attempts distributed denial of service (DDoS) attacks towards network resources
to disturb or deny services. The hacker degrades the quality of service to legitimate users by …
to disturb or deny services. The hacker degrades the quality of service to legitimate users by …
Effective and efficient DDoS attack detection using deep learning algorithm, multi-layer perceptron
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and
government agencies. They harm internet businesses, limit access to information and …
government agencies. They harm internet businesses, limit access to information and …
VARMAN: Multi-plane security framework for software defined networks
P Krishnan, S Duttagupta, K Achuthan - Computer communications, 2019 - Elsevier
In the context of future networking technologies, Software-Defined paradigm offers
compelling solutions and advantages for traffic orchestration and shaping, flexible and …
compelling solutions and advantages for traffic orchestration and shaping, flexible and …
[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review
JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …
the internet, enable remote monitoring, automation, and control. However, collecting …
Cross-layer federated learning for lightweight iot intrusion detection systems
With the proliferation of IoT devices, ensuring the security and privacy of these devices and
their associated data has become a critical challenge. In this paper, we propose a federated …
their associated data has become a critical challenge. In this paper, we propose a federated …