HMM-AD: Anomaly Detection for 5G Control Plane based on HMM Abstract: As industries increasingly adopt data-driven solutions, the deployment of fifth-generation (5G) mobile communication networks has become an urgent priority. However, recent studies have revealed that 5G network protocols are vulnerable to attacks that can lead to serious ...

2012年1月1日 · IBC was applied to combine the responses from a multiple-HMM ADS, where each HMM is trained through batch learning using the same data but with different number of states and initializations. Results have shown that detection accuracy improves significantly, especially when training data are limited and class distributions are imbalanced [25] .

2023年8月7日 · In this work, we concentrate on the detection of anomalous behaviors in systems operating in the physical world and for which it is usually not possible to have a complete set of all possible anomalies in advance. We present a data augmentation and retraining approach based on adversarial learning for improving anomaly detection. In particular, we first define a …

Castellini A., Masillo F., Azzalini D., Amigoni F., Farinelli A., Adversarial Data Augmentation for HMM-based Anomaly Detection In this stage, the software is intended for reviewers' use only. In order to try this software the user needs to create a conda environment (or alternatively having a Python3.8 valid installation with all the ...

2024年3月26日 · Bibliographic details on HMM-AD: Anomaly Detection for 5G Control Plane based on HMM. Stop the war! Остановите войну! solidarity - - news - - donate - donate - donate; for scientists: ERA4Ukraine; Assistance in Germany; Ukrainian Global University; #ScienceForUkraine; default search action.

2023年12月4日 · This work proposes a novel anomaly detection scheme for the 5G CP based on Hidden Markov Models (HMMs), which offers efficient and effective intrusion detection capabilities and can be deployed in 5G network servers. As industries increasingly adopt data-driven solutions, the deployment of fifth-generation (5G) mobile communication networks has become an urgent priority. However, recent ...

2023年10月20日 · The experimental results show the capabilities of the HSMM algorithm in accurately detecting abnormal behaviors, making it well-suited for diverse types of attack scenarios when compared to two existing anomaly detection algorithms. This research delves into the security concerns surrounding 5th generation mobile networks(5G) control plane (CP) protocols. With intrusion detection playing a ...

2023年8月7日 · based on adversarial examples for improving HMM-based anomaly detectors that work on multivariate time series, while [11], [12], [13] propose new methodologies for gen-

Anomaly Detection and Classification in Multispectral Time Series based on Hidden Markov Models - AD-HMM/precision_recall_curve.m at main · kareth-leon/AD-HMM

Anomaly Detection and Classification in Multispectral Time Series based on Hidden Markov Models - AD-HMM/toy_datasetv1.m at main · kareth-leon/AD-HMM