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[HTML][HTML] The personal health applications of machine learning techniques in the internet of behaviors
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
A comprehensive review on Software-Defined Networking (SDN) and DDoS attacks: Ecosystem, taxonomy, traffic engineering, challenges and research directions
Software Defined network (SDN) represents a sophisticated networking approach that
separates the control logic from the data plane. This separation results in a loosely coupled …
separates the control logic from the data plane. This separation results in a loosely coupled …
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with …
MA Setitra, M Fan… - Transactions on Emerging …, 2023 - Wiley Online Library
The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT)
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …
Internet of Forestry Things (IoFT) technologies and applications in forest management
Forests play a crucial role in sustaining the planet and human societies, offering a wide
range of benefits like climate and water cycle regulation, biodiversity conservation, and the …
range of benefits like climate and water cycle regulation, biodiversity conservation, and the …
A hybrid approach based on PUF and ML to protect MQTT based IoT system from DDoS attacks
A Sharma, K Bhushan - Cluster Computing, 2024 - Springer
IoT application uses MQTT, an application layer protocol that facilitates machine-to-machine
communication using a central entity called broker. The vulnerability lies in the broker being …
communication using a central entity called broker. The vulnerability lies in the broker being …
Preserving Security in Internet-of-Things Healthcare System with Metaheuristic-Driven Intrusion Detection
N Goswami, S Raj, D Thakral… - Engineered …, 2023 - espublisher.com
Abstract The Internet of Things (IoT) makes IoT devices more vulnerable to cyberattacks,
especially Distributed Denial of Service (DDoS), raising privacy and security issues …
especially Distributed Denial of Service (DDoS), raising privacy and security issues …
Multi-Resolution Analysis with Visualization to Determine Network Attack Patterns
Analyzing network traffic activities is imperative in network security to detect attack patterns.
Due to the complex nature of network traffic event activities caused by continuously …
Due to the complex nature of network traffic event activities caused by continuously …
DDoS intrusions detection in low power SD-IoT devices leveraging effective machine learning
Security and privacy are significant concerns in software-defined networking (SDN)-applied
Internet of Things (IoT) environments, due to the proliferation of connected devices and the …
Internet of Things (IoT) environments, due to the proliferation of connected devices and the …
Intelligent parameter-based in-network IDS for IoT using UNSW-NB15 and BoT-IoT datasets
Kee** in mind the ubiquity of Internet of Things devices and the heterogeneity of
protocols, intruders can easily meddle in an IoT network and jeopardize its security. This …
protocols, intruders can easily meddle in an IoT network and jeopardize its security. This …
An Ensemble Edge Computing Approach for SD-IoT security Using Ensemble of Feature Selection Methods and Classification
Both academics and the IT industry are now researching the Internet of Things and software-
defined networks. They have received a number of criticisms in the SD-IoT due to their …
defined networks. They have received a number of criticisms in the SD-IoT due to their …