Results 61 to 70 of about 61,931 (258)

The Influence of Drosophila Spire and Myosin V During Mid‐Oogenesis Is Independent of Their Direct Interaction

Cytoskeleton, EarlyView.
ABSTRACT Cooperativity between cytoskeletal proteins is crucial for spatiotemporal coordination in biological processes, like oogenesis. In mammalian and Drosophila oogenesis, proper assembly and function of actin networks require coordination between actin assembly factors Spire and formins, as well as actin‐associated proteins like myosins and Rab ...
Joseph Y. Ong, Hannah M. Bailey, Emma Carley, Michelle Panzica, Merin Rixen, Neil Billington, Rong Liu, Margot E. Quinlan   +7 more
wiley   +1 more source

Trust Implications of DDoS Protection in Online Elections

, 2017
Online elections make a natural target for distributed denial of service attacks. Election agencies wary of disruptions to voting may procure DDoS protection services from a cloud provider.
Culnane, Chris, Eldridge, Mark, Essex, Aleksander, Teague, Vanessa   +3 more
core   +1 more source

Deep Ensemble Learning With Pruning for DDoS Attack Detection in IoT Networks

IEEE Transactions on Machine Learning in Communications and Networking
The upsurge of Internet of Things (IoT) devices has increased their vulnerability to Distributed Denial of Service (DDoS) attacks. DDoS attacks have evolved into complex multi-vector threats that high-volume and low-volume attack strategies, posing ...
Makhduma F. Saiyedand, I. Al-Anbagi
semanticscholar   +1 more source

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

IEEE Access, 2022
Distributed network attacks are referred to, usually, as Distributed Denial of Service (DDoS) attacks. These attacks take advantage of specific limitations that apply to any arrangement asset, such as the framework of the authorized organization’s site ...
.. Ismail, M. I. Mohmand, Hameed Hussain, Ayaz Ali Khan, Ubaid Ullah, Muhammad Zakarya, Aftab Ahmed, M. Raza, I. Rahman, Muhammad Haleem   +9 more
semanticscholar   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Optimizing a Hybrid Deep Learning Model for DDoS Detection Using DBSCAN and PSO

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This study proposes a hybrid deep learning approach that combines Gated Recurrent Units (GRUs) and Convolutional Neural Networks (CNNs) for Distributed Denial of Service (DDoS) cyberattack detection.
Indrastanti Ratna Widiasari, Rissal Efendi   +1 more
doaj   +1 more source

DDoS Attacks with Randomized Traffic Innovation: Botnet Identification Challenges and Strategies

, 2016
Distributed Denial-of-Service (DDoS) attacks are usually launched through the $botnet$, an "army" of compromised nodes hidden in the network. Inferential tools for DDoS mitigation should accordingly enable an early and reliable discrimination of the ...
Di Mauro, Mario, Longo, Maurizio, Matta, Vincenzo   +2 more
core   +1 more source

Federated Learning for Decentralized DDoS Attack Detection in IoT Networks

IEEE Access
In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of Service (DDoS) attacks represent a significant challenge, compromising the reliability of these systems.
Yaser Alhasawi, Salem Alghamdi
semanticscholar   +1 more source

Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks

Italian National Conference on Sensors, 2023
The increasing use of Internet of Things (IoT) devices has led to a rise in Distributed Denial of Service (DDoS) and Denial of Service (DoS) attacks on these networks.
Basim Ahmad Alabsi, Mohammed Anbar, S. Rihan   +2 more
semanticscholar   +1 more source

Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection [PDF]

IEEE Transactions on Network and Service Management, 2020
Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today’s Internet, disrupting the availability of essential services.
R. D. Corin, Stuart Millar, Sandra Scott-Hayward, J. M. D. Rincón, D. Siracusa   +4 more
semanticscholar   +1 more source