[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System

SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali… - Internet of Things, 2023 - Elsevier
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …

Optimized machine learning for classifying colorectal tissues

A Tripathi, A Misra, K Kumar, BK Chaurasia - SN Computer Science, 2023 - Springer
Due to numerous deaths, colon cancer treatment and diagnosis are viewed as societal and
financial challenges. The most severe reason for death worldwide is colorectal cancer. The …

Blockchain transaction deanonymization using ensemble learning

R Saxena, D Arora, V Nagar, BK Chaurasia - Multimedia Tools and …, 2024 - Springer
Bitcoin is a digital currency that provides a way to transact without any trusted intermediary;
however, privacy is an issue. Numerous deanonymization endeavors have been proposed …

Glaucoma Classification using Light Vision Transformer

PB Singh, P Singh, H Dev, A Tiwari… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: Nowadays one of the primary causes of permanent blindness is
glaucoma. Due to the trade-offs, it makes in terms of portability, size, and cost, fundus …

Enhancing Identification of IoT Anomalies in Smart Homes Using Secure Blockchain Technology

S Tahir - Cybersecurity Measures for Logistics Industry …, 2024 - igi-global.com
Numerous technologies that automate processes and simplify our lives are included in smart
homes. These gadgets may be helpful for various things, including temperature, lighting …

Intrusion detection for internet of vehicles using machine learning

S Bajpai, K Sharma… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has replaced vehicular networks as the preferred paradigm as
a result of the enormous expansion in computer and network capabilities. Because of the …

A hybrid CNN with transfer learning for skin cancer disease detection

MM Shukla, BK Tripathi, T Dwivedi, A Tripathi… - Medical & Biological …, 2024 - Springer
The leading cause of cancer-related deaths worldwide is skin cancer. Effective therapy
depends on the early diagnosis of skin cancer through the precise classification of skin …

A Hybrid Meta-heuristics Algorithm: XGBoost-Based Approach for IDS in IoT

S Bajpai, K Sharma, BK Chaurasia - SN Computer Science, 2024 - Springer
In recent years, the importance of the Internet of Things (IoT) and its applications has
increased. IoT networks are diverse, allowing for various real-time applications and making …

A Hybrid Heuristic Optimizer for IDS using Genetic with KNN

S Bajpai, K Sharma… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is a distributed network of physical entities (" things") for
exchanging data over the Internet. These things may be equipped with sensors, actuators …

Machine Learning Models for Detecting Anomalies in Online Payment: A Comparative Analysis

D Thapa, A Joshi, N Pandey… - 2023 International …, 2023 - ieeexplore.ieee.org
With the growing use of online payment systems, the necessity for strong security measures
to defend against fraudulent activity has become critical. Machine learning algorithms-based …