Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Intelligent and secure framework for critical infrastructure (CPS): Current trends, challenges, and future scope
Abstract Cyber–Physical Systems (CPS) are developed by the integration of computational
algorithms and physical components and they exist as a result of technological …
algorithms and physical components and they exist as a result of technological …
[PDF][PDF] Survey on Deep Learning Approaches for Detection of Email Security Threat.
MM Saeed, Z Al Aghbari - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Emailing is among the cheapest and most easily accessible platforms, and covers every
idea of the present century like banking, personal login database, academic information …
idea of the present century like banking, personal login database, academic information …
Energy-efficient network routing protocols for IoT applications
D Devassy, IJ Jebadurai, GJL Paulraj, S Silas… - … Communication for 5G …, 2022 - Springer
Abstract The Internet of Things (IoT) connects various devices via sensors, actuators, and
processors to the network that can exchange information rapidly. These devices generate …
processors to the network that can exchange information rapidly. These devices generate …
Trustworthy machine learning for cloud-based internet of things (IoT)
With the rise of new technology, the Internet of Things (IoT) undertakes a dynamic and
central role in healthcare, smart homes, retail analytics, agricultural machinery, etc. Cloud …
central role in healthcare, smart homes, retail analytics, agricultural machinery, etc. Cloud …
Adaptive multimode decision tree classification model using effective system analysis in ids for 5g and iot security issues
All networks dramatically replace everyday life with features of human society. In network
authentication, when compatibility and assistance occur at an equal time, the network suffers …
authentication, when compatibility and assistance occur at an equal time, the network suffers …
Evaluating Machine Learning Methods for Intrusion Detection in IoT
Cyber-attacks in IoT enabled devices have grown at an alarming rate since the start of the
Covid-19 pandemic due to cyber physical digital transformation enabled through …
Covid-19 pandemic due to cyber physical digital transformation enabled through …
A detection of IoT based IDS attacks using deep neural network
The aim of the Internet-of-Things (IoT) is to seamlessly interconnect thousands or millions of
physical sensors/devices by monitoring, analyzing and evaluating massive amounts of data …
physical sensors/devices by monitoring, analyzing and evaluating massive amounts of data …
Learning Approaches for Security and Privacy in Internet of Things
Abstract The Internet of Things (IoT) is an evolving pattern that concentrates on the links
between machine,“things,” the internet, and users. One of the core technologies to achieve …
between machine,“things,” the internet, and users. One of the core technologies to achieve …
Advancing Artificial Intelligence-Enabled Cybersecurity for the Internet of Things
Internet of things (IoT) has revolutionized digital transformation and is present in every sector
including transportation, energy, retail, healthcare, agriculture, etc. While stepping into the …
including transportation, energy, retail, healthcare, agriculture, etc. While stepping into the …