A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
K Bitirgen, ÜB Filik - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …
information networks. The rapid developments of SG technologies have resulted in complex …
5G Aviation Networks Using Novel AI Approach for DDoS Detection.
H Whitworth, S Al-Rubaye, A Tsourdos, J Jiggins - IEEE Access, 2023 - ieeexplore.ieee.org
The advent of Fifth Generation (5G) technology has ushered in a new era of advancements
in the aviation sector. However, the introduction of smart infrastructure has significantly …
in the aviation sector. However, the introduction of smart infrastructure has significantly …
Modified Equilibrium Optimization Algorithm with Deep Learning-Based DDoS Attack Classification in 5G Networks
5G networks offer high-speed, low-latency communication for various applications. As 5G
networks introduce new capabilities and support a wide range of services, they also become …
networks introduce new capabilities and support a wide range of services, they also become …
ENIDS: A Deep Learning-Based Ensemble Framework for Network Intrusion Detection Systems
Rapid and widespread adoption of emerging Information Technology (IT) infrastructures and
services in commercial and private endeavors opens new horizons for novel cyberattacks …
services in commercial and private endeavors opens new horizons for novel cyberattacks …
[HTML][HTML] Reinventing Web Security: An Enhanced Cycle-Consistent Generative Adversarial Network Approach to Intrusion Detection
M Fang, Y Wang, L Yang, H Wu, Z Yin, X Liu, Z Xie… - Electronics, 2024 - mdpi.com
Web3. 0, as the link between the physical and digital domains, faces increasing security
threats due to its inherent complexity and openness. Traditional intrusion detection systems …
threats due to its inherent complexity and openness. Traditional intrusion detection systems …
Deep Learning Method for Detecting and Mitigating Distributed Denial of Service Attacks with Imbalanced Data
YB Sanap, PG Aher - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
A Distributed Denial-of-Service (DDoS) attack is a malicious attempt to reduce normal traffic
service, or network by spreading a target or its associated infrastructure with an internet …
service, or network by spreading a target or its associated infrastructure with an internet …
[PDF][PDF] Розробка методу ідентифікації стану комп'ютерної системи на основі алгоритму «Isolation Forest»
СЮ Гавриленко, ІВ Шевердін - Isolation Forest», Радіоелектроніка …, 2021 - ric.zntu.edu.ua
АНОТАЦІЯ Актуальність. Розглянуто задачу ідентифікації стану комп'ютерної системи.
Об'єктом дослідження є процес ідентифікації стану комп'ютерної системи. Предметом …
Об'єктом дослідження є процес ідентифікації стану комп'ютерної системи. Предметом …
Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis
A Anbar - 2023 - search.proquest.com
The ever-increasing frequency of occurrence and sophistication of DDoS attacks pose a
serious threat to network security. Accurate classification of DDoS attacks with efficiency is …
serious threat to network security. Accurate classification of DDoS attacks with efficiency is …
РОЗРОБКА МЕТОДУ ІДЕНТИФІКАЦІЇ СТАНУ КОМП'ЮТЕРНОЇ СИСТЕМИ НА ОСНОВІ НЕЧІТКИХ ДЕРЕВ РІШЕНЬ
S Gavrylenko, V Chelak - … та зв'язку. Збірник наукових праць, 2023 - journals.nupp.edu.ua
Анотація Предметом дослідження є методи та засоби ідентифікації стану комп'ютерної
системи. Метою статті є підвищення якості класифікації даних за рахунок розробки …
системи. Метою статті є підвищення якості класифікації даних за рахунок розробки …
[引用][C] Reinventing IoT Security: A CycleGAN Approach to Intrusion Detection
F Menghao, W Yixiang, X Zexian