Semi-supervised K-means DDoS detection method using hybrid feature selection algorithm

Y Gu, K Li, Z Guo, Y Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attack is an attempt to make an online service
unavailable by overwhelming it with traffic from multiple sources. Therefore, it is necessary to …

Advanced support vector machine‐(ASVM‐) based detection for distributed denial of service (DDoS) attack on software defined networking (SDN)

M Myint Oo, S Kamolphiwong… - Journal of Computer …, 2019 - Wiley Online Library
Software Defined Networking (SDN) has many advantages over a traditional network. The
great advantage of SDN is that the network control is physically separated from forwarding …

Privacy-preserving DDoS attack detection using cross-domain traffic in software defined networks

L Zhu, X Tang, M Shen, X Du… - IEEE Journal on Selected …, 2018 - ieeexplore.ieee.org
Existing distributed denial-of-service attack detection in software defined networks (SDNs)
typically perform detection in a single domain. In reality, abnormal traffic usually affects …

DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation

M Aamir, SMA Zaidi - International Journal of Information Security, 2019 - Springer
This paper applies an organized flow of feature engineering and machine learning to detect
distributed denial-of-service (DDoS) attacks. Feature engineering has a focus to obtain the …

An efficient multilevel probabilistic model for abnormal traffic detection in wireless sensor networks

MA Khan, MM Nasralla, MM Umar, S Khan… - Sensors, 2022 - mdpi.com
Wireless sensor networks (WSNs) are low-cost, special-purpose networks introduced to
resolve various daily life domestic, industrial, and strategic problems. These networks are …

DDoS attack detection in smart grid network using reconstructive machine learning models

SSA Naqvi, Y Li, M Uzair - PeerJ Computer Science, 2024 - peerj.com
Network attacks pose a significant challenge for smart grid networks, mainly due to the
existence of several multi-directional communication devices coupling consumers to the …

Xatu: Boosting existing DDoS detection systems using auxiliary signals

Z Xu, S Ramanathan, A Rush, J Mirkovic… - Proceedings of the 18th …, 2022 - dl.acm.org
Traditional DDoS attack detection monitors volumetric traffic features to detect attack onset.
To reduce false positives, such detection is often conservative---raising an alert only after a …

A secure framework to prevent three-tier cloud architecture from malicious malware injection attacks

BVS Rao, V Sharma, N Rathore, D Prasad… - International Journal of …, 2023 - igi-global.com
The concept of cloud computing makes it possible to have a shared pool of reconfigurable
computing resources that can be deployed and released with little involvement from …

[PDF][PDF] Seleksi Fitur Dengan Information Gain Untuk Meningkatkan Deteksi Serangan DDoS menggunakan Random Forest

K Kurniabudi, A Harris, A Rahim - Techno. Com, 2020 - researchgate.net
Tantangan deteksi serangan saat ini adalah jumlah trafik yang besar dan beragam serta
hadir jenis serangan baru. Disisi lain, pesatnya pertumbuhan teknologi layanan komunikasi …

An efficient fog-based attack detection using ensemble of MOA-WMA for Internet of Medical Things

SS Hameed, WH Hassan, LA Latiff - International Conference of Reliable …, 2020 - Springer
Smart healthcare applications such as smart fitness, smart watches, and elderly remote
monitoring devices have reduced the load on traditional healthcare organizations and led to …