An Internet of Things Forensics Framework Validated by Machine Learning
P Lutta - 2024 - eprints.staffs.ac.uk
The Internet of Things (IoT) has witnessed unprecedented growth, revolutionising the way
we interact with connected devices and services. While IoT offers numerous benefits, it …
we interact with connected devices and services. While IoT offers numerous benefits, it …
Using Machine Learning Algorithms in Intrusion Detection Systems: A Review
MS Mohammed, HA Talib - Tikrit Journal of Pure Science, 2024 - tjps.tu.edu.iq
Abstract Intrusion Detection Systems (IDS) are essential for identifying and mitigating
security threats in Internet of Things (IoT) networks. This paper explores the unique …
security threats in Internet of Things (IoT) networks. This paper explores the unique …
An Enhanced Network Anomaly Intrusion Detection System Using Dimensionality Reduction Approach and Residue Number System
BF Balogun - 2023 - search.proquest.com
Abstract Intrusion Detection Systems (IDS) frequently employ Machine Learning (ML)
techniques for anomaly detection. Due to the time-consuming nature of detecting anomalies …
techniques for anomaly detection. Due to the time-consuming nature of detecting anomalies …
Blockchain and Machine Learning Security for the Internet of Things: A Bibliometric Analysis
JK Mudhar, J Malhotra, AK Singh… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The Internet of Things has developed as a catalyst for innovation across numerous
industries, from home automation to smart cities to 4IR primarily Industry 4.0. Through the …
industries, from home automation to smart cities to 4IR primarily Industry 4.0. Through the …
Credit Card Fraud Detection and Analysis With the Blend of Machine Learning and Blockchain
Credit card frauds are drastically increasing in number as compared to earlier days.
Criminals are using fake identities and make use of various technologies to trap the users …
Criminals are using fake identities and make use of various technologies to trap the users …
Survey and Analysis of Anomaly Detection for Smart Home using Microcontroller
R Rami, Z Malek - 2024 5th International Conference on Mobile …, 2024 - ieeexplore.ieee.org
An increasingly prominent issue in recent times is the utilization of the Internet of Things
(IoT) for home automation systems. Home automation, also known as smart home …
(IoT) for home automation systems. Home automation, also known as smart home …
A Generic And Real-Time Internet Of Things Attack Realization And Detection Testbed
MR Kuşkon - 2023 - research.sabanciuniv.edu
The rapidly evolving Internet of Things (IoT) systems, which transform ordinary objects into
interconnected smart devices, offer numerous advantages such as improved data collection …
interconnected smart devices, offer numerous advantages such as improved data collection …
AI for Anomaly Detection in IoT
M Ma, P Harsh - Authorea Preprints, 2023 - techrxiv.org
The Internet of Things (IoT) is today's rapidly growing technology that consists of a massive
number of smart devices. The advent of IoT has brought about huge prospects of innovation …
number of smart devices. The advent of IoT has brought about huge prospects of innovation …
Review of Abnormalities Detection in IoT Using Evolutionary Deep Learning
SR Kokaz, ATA Salih… - … Conference on Information …, 2023 - ieeexplore.ieee.org
Today, the Internet is used for various applications such as sending or receiving emails,
access to multimedia services, social networks, etc. Moreover, the population of people who …
access to multimedia services, social networks, etc. Moreover, the population of people who …
Network based Anomaly detection using Self-defined One Class Support Vector Machine with Grey Wolf Optimizer for Internet of Things Environment
L Sumathi, ML Valarmathi - 2024 - researchsquare.com
Anomaly detection is considered to be an important aspect in protecting Internet of Things
(IoT) environment, as it helps to identify and alert abnormal activities in that system. Anomaly …
(IoT) environment, as it helps to identify and alert abnormal activities in that system. Anomaly …