کنفرانس بین المللی فناوری اطلاعات و دانش

English

صفحه اصلی / چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش

A Comparative Evaluation of Machine Learning Models for Anomaly-Based IDS in IoT Networks

نویسندگان :

Seyed Amir Mousavi¹ Mostafa Sadeghi² Mohammad Sadeq Sirjani³

1- دانشگاه فردوسی مشهد 2- دانشگاه آزاد اسلامی واحد نجف آباد 3- دانشگاه فردوسی مشهد

کلمات کلیدی :

Network Security،Intrusion Detection System،Artificial Intelligence،Machine Learning

چکیده :

With the increasing Internet use, network security has become essential due to the rise in cyber-attacks on network services. To detect these attacks, a robust Intrusion Detection System (IDS) is required. Traditional IDS face challenges like high false alert rates and slow real-time attack detection. Machine learning (ML) can improve this situation, providing a low False Alarm Rate and high detection rates. This research used five ML methods (Logistic Regression, Random Forest, k-Nearest Neighbors, Support Vector Machine, and XGBoost) to classify the UNSW-NB15 dataset. The goal is to evaluate the performance of various machine learning classifiers in detecting attacks for Internet of Things (IoT) network intrusion detection. The study highlighted the importance of further research to reduce false positives and negatives. To evaluate these classifiers, precision, accuracy, recall, and F1 score were used. The results show that XGBoost achieved the highest accuracy and recall. However, only some algorithms performed perfectly in all aspects, suggesting the need for diverse detection strategies. Future research should focus on developing comprehensive systems and ensemble approaches to minimize false alerts and missed detections.

لیست مقالات

لیست مقالات بایگانی شده

AI-based Secure Intrusion Detection Framework for Digital Twin-enabled Critical Infrastructure

Tanisha Patel - Nilesh Kumar Jadav - Tejal Rathod - Sudeep Tanwar - Deepak Garg - Hossein Shahinzadeh

پیش‌بینی بستری مجدد بیماران با استفاده از استخراج مفاهیم زیست‌پزشکی از متون بالینی

فهیمه شاهرخ شهرکی - رسول سامانی - دکتر ناصر قدیری فهیمه شاهرخ شهرکی - رسول سامانی - ناصر قدیری -

A Fuzzy Cluster-Based Routing Algorithm to Extend Wireless Sensor Network Lifetime

Mostafa Mirzaie - Armin Mazinani - Dr Sayyed Majid Mazinani

شناسایی کمپلکس‎ های پروتئینی با استفاده از داده‎ های زیستی و خوشه بندی فازی

مریم مولی وردیخانی - دکتر سعید جلیلی مریم مولی وردیخانی - سعید جلیلی -

Multi-label Classification of Steel Surface Defects Using Transfer Learning and Vision Transformer

Amirhossein Komijani - Farzaneh Vafaeinezhad - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi

Advanced SMS Spam Detection using Deep Complex Models and Sine-Cosine Algorithm

Sepehr Rezaei - Mohammadreza Shams - Mohsen Alambardar Meybodi

SecVanet: provably secure authentication protocol for sending emergency events in VANET

Seyed Amir Mousavi - Mohammad Sadeq Sirjani - Seyyed Javad Bozorg zadeh Razavi - Morteza Nikooghadam

Statistical distance-base acceptance strategy for desirable offers in bilateral automated negotiation

Arash Ebrahimnezhad - Dr Hamid Jazayeriy - Dr Faria Nassiri-mofakham

Classification and Evaluation of Privacy Preserving Data Mining Methods

Negar Nasiri - Mohammadreza Keyvanpour

A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks

Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.1