Navigare după Autor "DOBROTA Virgil"

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DDoS ATTACK DETECTION USING SUPERVISED MACHINE LEARNING ALGORITHMS OVER THE CIDDOS2019 DATASET
(Technical University of Cluj-Napoca, 2023-06-22) ZINCA Daniel; DOBROTA Virgil
Distributed Denial-of-Service (DDoS) attacks are one of the most common types of cyber-attacks that can cause severe damage to networks and systems. Traditional methods to detect them rely on signature-based Intrusion Detection Systems (IDS), which are limited by the need of prior knowledge of specific patterns and by the usual ineffectiveness against zero-day attacks. However machine learning (ML) algorithms have the potential to support the detection of new and unknown attacks. This article compares the DDoS detection performance of three Machine Learning techniques: Gaussian Naïve Bayes, Logistic Regression and Random Forest, based on validation metrics such as precision, recall and F1 score. The system was trained using three datasets extracted from CICDDoS2019 database. The results proved the detection of attacks at Layer 4 (TCP SYN/ UDP flood), and at reflective Layer 7 (MSSQL, NetBIOS). The Random Forests and Logistic Regression methods achieved a precision between 93.7% and 99.4 % over these three datasets.
DECISION TREES-BASED ALGORITHM FOR INTELLIGENT ALLOCATION OF PROCESSES IN CLOUD
(Technical University of Cluj Napoca, 2025-06-25) DOLCESCU Constantin-Valentin; BOTEZ Robert; ZINCA Daniel; DOBROTA Virgil
The paper presents a decision tree–based scheduler for intelligent cloud process allocation that evaluates features such as source area, instruction count, payload size, priority, throughput, and delay to guide real-time placement decisions. The model was trained and validated on a diverse, scenario-driven synthetic dataset covering four controlled workload conditions plus randomized fallback cases. For the training dataset, the classifier achieved 93% accuracy, while for the validation and test set, an accuracy of 92% was obtained. A Kubernetes-inspired simulation framework further visualizes and confirms the scheduler’s allocation logic under dynamic conditions. These results underscore the approach’s effectiveness, interpretability, and suitability for production-grade cloud orchestration.
INTEGRATION OF THE SURICATA INTRUSION DETECTION SYSTEM AND OF THE WAZUH SECURITY INFORMATION AND EVENT MANAGEMENT FOR REAL-TIME DENIAL-OF-SERVICE AND DATA TAMPERING DETECTION AND ALERTING
(Technical University of Cluj-Napoca, 2024) ANDREICA Gheorghe-Romeo ; IVANCIU Iustin-Alexandru; ZINCA Daniel; DOBROTA Virgil
This paper addresses one of the cybersecurity challenges posed by the rapid growth of IoT and intelligent transport systems. It aims to develop a security monitoring and alerting system for GPS devices in these systems, integrating the Suricata Intrusion Detection System (IDS) mechanism and the Wazuh Security Information and Event Management (SIEM). The solution is focused on detecting, alerting and real-time monitoring for Denial-of-Service (DoS) and Data Tampering attacks, ensuring robust protection against emerging cyber threats in IoT GPS tracking systems
KUBERNETES CONFIGURATION FILES CREATED WITH A PYTHON QUART WEB INTERFACE FOR REAL LIFE SCENARIOS OF KUBERNETES DEPLOYMENTS
(Technical University of Cluj-Napoca, 2024-11-29) DUMITRE Ioan-Alexandru; RUGINA Szabolcs-Gavril; LENGYEL Laszlo-Csongor; RUS Andrei-Bogdan; DOBROTA Virgil
This paper presents the development of a web interface using Python Quart to simplify the creation and management of Kubernetes manifest files. The interface allows users to create, update, delete, and manage Kubernetes resources through an intuitive platform. Developed using Test-Driven Development (TDD) principles, the application minimizes errors and improves reliability by ensuring that each component is rigorously tested before deployment. By leveraging Quart’s asynchronous capabilities, it handles multiple requests efficiently, enhancing scalability and performance. Performance tests with Locust and real-time monitoring with Prometheus show the system's ability to manage multiple users and highlight areas for improvement in request latency.
SECURE ACCESS WITH TELTONIKA GPS TRACKING DEVICES FOR INTELLIGENT TRANSPORTATION SYSTEMS
(Technical University of Cluj-Napoca, 2023-03-27) ANDREICA Gheorghe-Romeo; STANGU Ciprian; IVANCIU Iustin-Alexandru; ZINCA Daniel; DOBROTA Virgil
GPS tracking devices are widely used in industries like logistics, transportation, and security. However, they are susceptible to cyber-attacks, including Man-in-the-Middle (MITM). This study focuses on Teltonika GPS tracking devices and examines the impact of MITM attacks on their operation. We propose implementing encryption protocols and other measures to enhance the security and resilience of Teltonika GPS tracking devices.
SECURITY ISSUES IN INTERNET OF THINGS BOTNETS: A HIGH INTERACTION HONEYPOT APPROACH
(Technical University of Cluj-Napoca, 2023-12-11) LAZAR Alexandru; BLAGA Tudor-Mihai; ZINCA Daniel; DOBROTA Virgil
For a better awareness of the tactics employed by the malicious entities in Internet of Things, a system called Honeypot tricks the attackers into exploiting its “sweet” fake resources. While implementing nine types of devices only six of those were attacked. Despite this, the honeypot managed to capture attacks destined for three devices that were not implemented. Overall, several real-world attacks were captured and analyzed providing different indicators of compromise. No new threats were identified but the server only ran for a short period of time and with limited resources. This approach looks like a promising avenue for creating attacker profiles and collecting data on botnet behavior.