International Conference on Information and Knowledge Technology

فارسی

Home / شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Intent-Based Classification of Multi-Stage Cyber Attacks Using Attacker TTPs and Machine Learning

Authors :

Fatemeh Imanimehr¹ Hamed Ebrahimi²

1- پژوهشگاه ارتباطات و فناوری اطلاعات 2- پژوهشگاه ارتباطات و فناوری اطلاعات

Keywords :

Multi-Stage Attack،Machine Learning-Based Classification،Adversary TTPs

Abstract :

In this paper, we propose a novel method for classifying multi-stage adversarial attacks based on attacker intent and objectives, leveraging the structured knowledge of adversary behaviors encapsulated in the MITRE ATT\&CK framework. The proposed approach processes outputs from Security Information and Event Management (SIEM) systems and analyzes observed Tactics, Techniques, and Procedures (TTPs) to infer attacker intent through machine learning–based classification. We evaluate four widely used classifiers and select Random Forest as the optimal model based on standard performance metrics. Experimental results demonstrate that the Random Forest classifier accurately identifies attacker intent with high precision and robust performance.

List of archived papers

Presenting an Edge-based Air Quality Management System for Smart City Scenarios

Tina Samizadeh Nikoui - Ali Balador - Amir Masoud Rahmani - Hooman Tabarsaied

An Enhanced Fuzzy Rule-Based Method for Coronary Artery Disease Risk Prediction Using Weighted and Biased Rules

Fatemeh Ahmadi - Mohammad Javad Parseh - Ehsan Amiri

پیش‌بینی فضایی–زمانی و مقایسه ریسک تب دنگی با استفاده از مدل‌های یادگیری عمیق LSTM و GRU و مدل یادگیری ماشین Random Forest بر پایه مؤلفه‌های اقلیمی و مکانی

محمد بابائی - نجمه نیسانی سامانی

Sentiment Analysis of the Amazon Customers Using the BiGRU Neural Network Enhanced by Attention Mechanism

Sara Sinan Salman al-Abedi - Keyvan Mohebbi

Listening with Precision: ASR-Guided Method and Fusion Strategy for Text-Dependent Speaker Verification

Mohammad Reza Molavi - Reza Khodadadi - Hossein Zeinali

AI-Powered Beauty Insights: Sentiment Analysis in a Low-Resource Language

Sajedeh Talebi - Neda Abdolvand - Fatemeh Mahdian

استفاده از شبکه عصبی در پیش‌بینی مقاومت غلتشی تایرهای رادیال باری

مرتضی رشیدی مقدم

An Attention-Enhanced Hybrid Deep Learning Framework for Detecting Denial-of-Wallet Attacks in Serverless Platforms

Mohammad Mehmandoost - HadiShahriar Shahhoseini

A clonal selection mechanism for load balancing in the cloud computing system

Melika Mosayyebi - Reza Azmi

A Graph Attention-Based Autoencoder for Critical Path Anomaly Detection in Microservices

Mahdi Naderi - Hossein Momeni - Shayan Shahini

more

Samin Hamayesh - Version 42.5.2