MP-GUARD: A novel multi-pronged intrusion detection and mitigation framework for scalable SD-IOT networks using cooperative monitoring, ensemble learning, and …
The ever-increasing complexity of the Internet of Things (IoT) environment demands robust
and adaptable intrusion detection frameworks, as existing approaches struggle with real …
and adaptable intrusion detection frameworks, as existing approaches struggle with real …
Arp spoofing detection using machine learning classifiers: an experimental study
S Majumder, MK Deb Barma, A Saha - Knowledge and Information …, 2025 - Springer
Recent university data breaches highlight the need to protect sensitive information and
enhance centralized security systems like Software-Defined Networking and Intrusion …
enhance centralized security systems like Software-Defined Networking and Intrusion …
Beyond the Basics: An In-Depth Analysis and Multidimensional Survey of Programmable Switch in Software-Defined Networking
The development of the programmable switch in software-defined networks (SDNs) is
known for its rapid technological advancements. This growing domain has a wealth of …
known for its rapid technological advancements. This growing domain has a wealth of …
Using Supervised Learning to Detect Command and Control Attacks in IoT
The rapid proliferation of internet of things (IoT) devices has ushered in a new era of
technological development. However, this growth has also exposed these devices to various …
technological development. However, this growth has also exposed these devices to various …
CO-STOP: A Robust P4-Powered Adaptive Framework for Comprehensive Detection and Mitigation of Coordinated and Multi-Faceted Attacks in SD-IoT Networks
The increasing sophistication of multi-faceted attacks (MFAs) presents significant challenges
for securing Internet of Things (IoT) networks, where traditional defenses and even …
for securing Internet of Things (IoT) networks, where traditional defenses and even …
LBTMA: An integrated P4-enabled framework for optimized traffic management in SD-IoT networks
This research introduces LBTMA, a novel framework for effective traffic management in
Internet of Things (IoT) networks employing software-defined networking (SDN). LBTMA …
Internet of Things (IoT) networks employing software-defined networking (SDN). LBTMA …
MULTI-BLOCK: A novel ML-based intrusion detection framework for SDN-enabled IoT networks using new pyramidal structure
The ever-expanding Internet of Things (IoT) landscape faces significant security challenges
due to limitations in traffic monitoring, device heterogeneity, and weak security practices …
due to limitations in traffic monitoring, device heterogeneity, and weak security practices …
Deep learning approaches for protecting IoT devices in smart homes from MitM attacks
The primary objective of this paper is to enhance the security of IoT devices in Software-
Defined Networking (SDN) environments against Man-in-the-Middle (MitM) attacks in smart …
Defined Networking (SDN) environments against Man-in-the-Middle (MitM) attacks in smart …
P4 Cybersecurity Solutions: Taxonomy and Open Challenges
The field of cybersecurity has witnessed a significant shift towards Programmable Data
Planes with the emergence of the P4 programming P4. The existing literature lacks a …
Planes with the emergence of the P4 programming P4. The existing literature lacks a …
A comparative analysis of using Deep Learning and Machine Learning technologies for intrusion detection for effective network traffic analysis
SB Divya, SP Mary - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
The broad utilization of interconnectivity and interoperability of processing frameworks have
turned into an irreplaceable need to improve our everyday activities. All the while, it opens a …
turned into an irreplaceable need to improve our everyday activities. All the while, it opens a …