DDoS attack detection based on random forest

Y Chen, J Hou, Q Li, H Long - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the development of network technology, distributed denial of service (DDoS) attacks
have increasingly become an important security risk that endangers the network. It uses …

Adaptive Hurst-Sensitive active queue management

D Marek, J Szyguła, A Domański, J Domańska, K Filus… - Entropy, 2022 - mdpi.com
An Active Queue Management (AQM) mechanism, recommended by the Internet
Engineering Task Force (IETF), increases the efficiency of network transmission. An …

Characterization of I/O Behaviors in Cloud Storage Workloads

Q Zou, Y Zhu, J Chen, Y Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As cloud platforms become increasingly popular, accurately understanding I/O behaviors in
modern cloud storage is of paramount importance for system design and optimization. This …

An exploration of the self-similarity of traditional settlements: the case of Xiaoliangjiang Village in Jingxing, Hebei, China

P Peng, X Zhou, S Wu, Y Zhang, J Zhao, L Zhao, J Wu… - Heritage Science, 2024 - Springer
In order to retain the characteristics and style of traditional settlements and respect their
layout and structure, it is necessary to carry out original planning and expansion of …

Long-range dependent traffic classification with convolutional neural networks based on hurst exponent analysis

K Filus, A Domański, J Domańska, D Marek, J Szyguła - Entropy, 2020 - mdpi.com
The paper examines the ability of neural networks to classify Internet traffic data in terms of
self-similarity expressed by the Hurst exponent. Fractional Gaussian noise is used for the …

Diagnosing the coexistence of Poissonity and self-similarity in memory workloads

Q Zou, Y Zhu, Y Tan, W Chen - Journal of Network and Computer …, 2022 - Elsevier
Accurately modeling the inter-arrival distribution is critical for synthesizing memory traces to
evaluate performance. The intensity and complexity of memory accesses have increased …

Revisiting Temporal Storage I/O Behaviors of Smartphone Applications: Analysis and Synthesis

Q Zou, B Mao - 2022 IEEE International Symposium on …, 2022 - ieeexplore.ieee.org
The design and performance optimization of flash-based storage subsystems are crucial for
improving the system performance of Android-based Smartphones. However, it highly relies …

[PDF][PDF] Dissecting I/O Burstiness in Machine Learning Cloud Platform: A Case Study on Alibaba's MLaaS

Q Zou, Y Deng, Y Zhu, Y Zhou, J Cai, S He - msstconference.org
With advancements in machine learning (ML) technology and the availability of large ML-as-
a-Service (MLaaS) clouds, accurately understanding the I/O behaviors in the storage …