{"id":391,"date":"2026-01-12T14:57:16","date_gmt":"2026-01-12T14:57:16","guid":{"rendered":"https:\/\/greenbeat.tu-sofia.bg\/?post_type=publication&p=391"},"modified":"2026-01-12T14:57:16","modified_gmt":"2026-01-12T14:57:16","slug":"a-comparative-analysis-of-anomaly-detection-techniques-in-cellular-data","status":"publish","type":"publication","link":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/publication\/a-comparative-analysis-of-anomaly-detection-techniques-in-cellular-data\/","title":{"rendered":"A Comparative Analysis of Anomaly Detection Techniques in Cellular Data"},"content":{"rendered":"

A Comparative Analysis of Anomaly Detection Techniques in Cellular Data<\/span><\/h1><\/div><\/div><\/div>\n\n\n
<\/div>\n\n\n

Abstract<\/span><\/h2><\/div><\/div><\/div>\n\n\n

In this paper we compare various anomaly detection techniques for cellular network data using a multivariate dataset from Milan and Trentino. We evaluate traditional statistical methods (Z-score, IQR), machine learning (One-Class SVM), and deep learning approaches (LSTM-Autoencoder, Transformer). Experimental results indicate that deep learning models significantly outperform traditional methods in terms of both accuracy and efficiency. The Transformer model achieved 96.5% accuracy in 23 epochs, compared to 93% by the LSTM-Autoencoder in 40 epochs and 86% by the One-Class SVM.<\/p>\n\n\n

Authors<\/span><\/h2><\/div><\/div><\/div>\n\n\n

Nikol Gotseva; Atanas Vlahov; Roland Mfondoum; Antoni Ivanov; Vladimir Poulkov<\/p>\n\n\n

Venue<\/span><\/h2><\/div><\/div><\/div>\n\n\n

2025 60th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)<\/p>\n\n\n

Links<\/span><\/h2><\/div><\/div><\/div>\n\n\n

https:\/\/ieeexplore.ieee.org\/abstract\/document\/11098230?casa_token=QTpN97pfdBcAAAAA:6-uXOZLfAocia49GqhmRSw_7niquGPRJmhZdb1kD_-iniF5Ii1qrN9eh4yorXd-qCK0xP53Kz3w<\/a><\/p>\n\n\n

Keywords<\/span><\/h2><\/div><\/div><\/div>\n\n\n

Cellular networks; Training; Deep learning; Solid modeling; Accuracy; Statistical analysis; Transformers; Solids; Data models; Anomaly detection<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Nikol Gotseva; Atanas Vlahov; Roland Mfondoum; Antoni Ivanov; Vladimir Poulkov<\/p>\n","protected":false},"template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"class_list":["post-391","publication","type-publication","status-publish","hentry"],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"greenbeat_admin","author_link":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Nikol Gotseva; Atanas Vlahov; Roland Mfondoum; Antoni Ivanov; Vladimir Poulkov","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/wp-json\/wp\/v2\/publication\/391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/wp-json\/wp\/v2\/types\/publication"}],"wp:attachment":[{"href":"https:\/\/greenbeat.tu-sofia.bg\/index.php\/wp-json\/wp\/v2\/media?parent=391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}