Hybrid intrusion detection model for Internet of Things (IoT) network environment

S Rajarajan, MG Kavitha - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Technology development brought numerous lifestyle changes. People move around with
smart gadgets and devices in the home, work environment, and familiar places. The Internet …

Comparative Study on Different Intrusion Detection Datasets Using Machine Learning and Deep Learning Algorithms

G Aarthi, S Sharon Priya, W Aisha Banu - International Conference on Big …, 2022 - Springer
The tremendous growth in the Internet of Things (IoT) creates great potential which provides
us with incredible productivity and simplified our daily lives. But, due to resource constraints …

An Optimized Machine Learning Model for the Detection of Man-in-the-Middle Attack in Mobile Edge Computing

RL Moila, M Velempini - 2024 IST-Africa Conference (IST …, 2024 - ieeexplore.ieee.org
Edge computing has gained significance in processing data near the source. However, its
distributed and resource-constrained nature is prone to security challenges, particularly the …

Smart Home Automation using IoT: Prototyping and Integration of Home Devices

M Singh, A Dhablia - Research Journal of Computer Systems …, 2023 - technicaljournals.org
Smart homes are becoming a reality thanks to the Internet of Things (IoT) technology's quick
progress, providing homeowners with never-before-seen levels of efficiency, convenience …

Gachon University, Seongnam-daero, 1342 Seongnam-si, Republic of Korea {ilhwan1013, shjeon90, seojt}@ gachon. ac. kr

I Ji, S Jeon, JT Seo - … Conference, WISA 2023, Jeju Island, South …, 2024 - books.google.com
Energy Management System (EMS) communicates with power plants and substations to
maintain the reliability and efficiency of power supplies. EMS collects and monitors data from …

AE-LSTM Based Anomaly Detection System for Communication Over DNP 3.0

I Ji, S Jeon, JT Seo - International Conference on Information Security …, 2023 - Springer
Abstract Energy Management System (EMS) communicates with power plants and
substations to maintain the reliability and efficiency of power supplies. EMS collects and …

Joint Selfattention-SVM DDoS Attack Detection and Defense Mechanism Based on Self-Attention Mechanism and SVM Classification for SDN Networks

W MAN, G YANG, S FENG - IEICE Transactions on Fundamentals …, 2024 - search.ieice.org
Software Defined Networking (SDN), a new network architecture, allows for centralized
network management by separating the control plane from the forwarding plane. Because …

[HTML][HTML] HYBRID NETWORK INTRUSION DETECTION SYSTEMS: A SYSTEMATIC REVIEW

A Seiba, G Abdul-Salaam, Y Missah… - Scientific and practical …, 2023 - journal.scsa.ge
Network Security has become a major concern to governments, businesses and individuals
all over the world as cybercriminals continuously attack networks and cause harm to …

Deep Learning Model for Intrusion Detection in SDN Networks

V Jyothsna, E Sandhya, T Swetha… - … for Learning (ICOTL), 2023 - ieeexplore.ieee.org
Network security has grown in importance as computer network technology has progressed.
Today networking technologies are vulnerable to a variety of security risks, and intrusion …

[PDF][PDF] A Deep Learning-Based Approach for the Diagnosis of Acute Lymphoblastic Leukemia. Electronics 2022, 11, 3168

A Saeed, S Shoukat, K Shehzad, I Ahmad… - 2022 - researchgate.net
Leukemia is a deadly disease caused by the overproduction of immature white blood cells
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …