A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
Data security in smart devices: Advancement, constraints and future recommendations
Network security protocols are implemented to address network security challenges.
Computer networks and applications have advanced and developed significantly in recent …
Computer networks and applications have advanced and developed significantly in recent …
Authenticated key agreement scheme with user anonymity and untraceability for 5G-enabled softwarized industrial cyber-physical systems
With the tremendous growth of Information and Communications Technology (ICT), Cyber
Physical Systems (CPS) have opened the door for many potential applications ranging from …
Physical Systems (CPS) have opened the door for many potential applications ranging from …
A cloud based optimization method for zero-day threats detection using genetic algorithm and ensemble learning
This article presents a cloud-based method to classify 0-day attacks from a novel dataset
called UGRansome1819. The primary objective of the research is to classify potential …
called UGRansome1819. The primary objective of the research is to classify potential …
Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks
JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …
environment, where security and privacy are of great importance. Our lives have significantly …
SUSIC: A secure user access control mechanism for SDN-enabled IIoT and cyber–physical systems
The integration of thriving information and communications technology (ICT) and cyber–
physical systems (CPSs) has spawned several innovative applications, such as remote …
physical systems (CPSs) has spawned several innovative applications, such as remote …
Ugransome1819: A novel dataset for anomaly detection and zero-day threats
This research attempts to introduce the production methodology of an anomaly detection
dataset using ten desirable requirements. Subsequently, the article presents the produced …
dataset using ten desirable requirements. Subsequently, the article presents the produced …
Blockchain and NFTs for time-bound access and monetization of private data
Digital data has enabled organizations to anticipate future threats, opportunities, and trends.
However, digital data owners do not know how their data is accessed, shared, and …
However, digital data owners do not know how their data is accessed, shared, and …
Deep-discovery: Anomaly discovery in software-defined networks using artificial neural networks
Abstract This paper proposes Deep-Discovery, an Intrusion Detection System (IDS), to
perform Anomaly Discovery in Software-Defined Networking (SDN) using Artificial Neural …
perform Anomaly Discovery in Software-Defined Networking (SDN) using Artificial Neural …
[PDF][PDF] Investigation of Android Malware with Machine Learning Classifiers using Enhanced PCA Algorithm.
VJ Raymond, RJR Raj, J Retna - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
Android devices are popularly available in the commercial market at different price levels for
various levels of customers. The Android stack is more vulnerable compared to other …
various levels of customers. The Android stack is more vulnerable compared to other …