PCA-based multivariate statistical network monitoring for anomaly detection
J Camacho, A Pérez-Villegas, P García-Teodoro… - Computers & …, 2016 - Elsevier
The multivariate approach based on Principal Component Analysis (PCA) for anomaly
detection received a lot of attention from the networking community one decade ago, mainly …
detection received a lot of attention from the networking community one decade ago, mainly …
Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system
The utilization of conventional multivariate control chart in network intrusion detection will
deal with two main problems. First, the high false alarm occurs due to the distribution of …
deal with two main problems. First, the high false alarm occurs due to the distribution of …
Fractal traffic: measurements, modelling and performance evaluation
RG Addie, M Zukerman… - Proceedings of INFOCOM' …, 1995 - ieeexplore.ieee.org
Observations of both Ethernet traffic and variable bit rate (VBR) video traffic have
demonstrated that these traffics exhibit" self-similarity" and/or infinite asymptotic index of …
demonstrated that these traffics exhibit" self-similarity" and/or infinite asymptotic index of …
[PDF][PDF] Intrusion detection system using multivariate control chart Hotelling's T2 based on PCA
Statistical Process Control (SPC) has been widely used in industry and services. The SPC
can be applied not only to monitor manufacture processes but also can be applied to the …
can be applied not only to monitor manufacture processes but also can be applied to the …
Bayesian detection of abnormal segments in multiple time series
L Bardwell, P Fearnhead - 2017 - projecteuclid.org
Bayesian Detection of Abnormal Segments in Multiple Time Series Page 1 Bayesian Analysis
(2017) 12, Number 1, pp. 193–218 Bayesian Detection of Abnormal Segments in Multiple Time …
(2017) 12, Number 1, pp. 193–218 Bayesian Detection of Abnormal Segments in Multiple Time …
[PDF][PDF] Обнаружение компьютерных атак на основе анализа поведения сетевых объектов: дисс.… канд. физ.-мат. наук: 05.13. 11
ДЮ Гамаюнов - Москва, 2007 - cs.msu.ru
Актуальность темы. Компьютерные сети за несколько последних десятилетий из чисто
технического решения превратились в глобальное явление, развитие которого …
технического решения превратились в глобальное явление, развитие которого …
Detecting high-risk anomalies in aircraft dynamics through entropic analysis of time series data
E Juarez Garcia, C Stephens, NJ Napoli - AIAA AVIATION 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-3257. vid Despite recent efforts to
move away from traditional threshold exceedance detection methods for aircraft state …
move away from traditional threshold exceedance detection methods for aircraft state …
[HTML][HTML] Bootstrap and MRCD Estimators in Hotelling's T2 Control Charts for Precise Intrusion Detection
Intrusion detection systems (IDS) are crucial in safeguarding network security by identifying
unauthorized access attempts through various techniques. Statistical Process Control (SPC) …
unauthorized access attempts through various techniques. Statistical Process Control (SPC) …
VAECGAN: a generating framework for long-term prediction in multivariate time series
X Yin, Y Han, Z Xu, J Liu - Cybersecurity, 2021 - Springer
Long-term prediction is still a difficult problem in data mining. People usually use various
kinds of methods of Recurrent Neural Network to predict. However, with the increase of the …
kinds of methods of Recurrent Neural Network to predict. However, with the increase of the …
Multivariate fuzzy analysis for Mobile ad hoc Network threat Detection
SK Alampalayam, EF Natsheh - International Journal of Business …, 2008 - igi-global.com
Detection of malicious, compromised and selfish node attacks is urgently needed to protect
Mobile Ad hoc Networks (MANET) and their applications from failures. Once a MANET …
Mobile Ad hoc Networks (MANET) and their applications from failures. Once a MANET …