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[PDF][PDF] Federated rnn-based detection of ransomware attacks: A privacy-preserving approach
X Zhang, C Wang, R Liu, S Yang - 2024 - files.osf.io
The rise of ransomware as a predominant cybersecurity threat has necessitated the
development of innovative detection mechanisms capable of adapting to the rapidly …
development of innovative detection mechanisms capable of adapting to the rapidly …
[PDF][PDF] Advanced ransomware detection and classification via semantic analysis of memory opcode patterns
T Lowev, C Fisher, J Collins - 2024 - files.osf.io
Ransomware attacks have become one of the most prevalent and damaging forms of cyber
threats, with their increasing sophistication posing significant challenges to traditional …
threats, with their increasing sophistication posing significant challenges to traditional …
Internet of things enabled E-learning system for academic achievement among university students
The rise of the Internet of Things (IoT) represents a burgeoning frontier in educational
innovation, particularly in the realm of e-learning. Despite its expanding capabilities, the …
innovation, particularly in the realm of e-learning. Despite its expanding capabilities, the …
6G wireless communication networks: challenges and potential solution
This paper presents a comprehensive survey of security needs, applications, and current
challenges and threats for 6G wireless communication networks. 6G technology has brought …
challenges and threats for 6G wireless communication networks. 6G technology has brought …
Enhancing IoT Data Analysis with Machine Learning: A Comprehensive Overview
AK Dinkar, MA Haque, AK Choudhary - LatIA, 2024 - latia.ageditor.uy
Machine learning techniques are essential for processing the vast volume of IoT data
efficiently, improving performance, and managing IoT applications effectively. Machine …
efficiently, improving performance, and managing IoT applications effectively. Machine …
[PDF][PDF] Implication of Different Data Split Ratios on the Performance of Models in Price Prediction of Used Vehicles Using Regression Analysis
Introduction: artificial intelligence (AI) and Machine Learning have become buzzwords lately
due to technological changes and data quality testing, especially in shape and finish …
due to technological changes and data quality testing, especially in shape and finish …
Analysis of Cyberbullying Behaviors Using Machine Learning: A Study on Text Classification
AK Anand, RK Mahto, A Prasad - LatIA, 2025 - latia.ageditor.uy
Introduction: Cyberbullying is a significant concern in today's digital age, affecting
individuals across various demographics. Objective: This study aims to analyze and classify …
individuals across various demographics. Objective: This study aims to analyze and classify …
Malware Behavior Detection System with RAG-Enhanced eBPF and Advanced Language Model
S Yu, Z Li, J Chen, X Deng… - 2024 5th International …, 2024 - ieeexplore.ieee.org
The article focuses on the malware threat within network security, especially the challenge of
behavior detection on Linux systems. Traditional methods have limitations since static …
behavior detection on Linux systems. Traditional methods have limitations since static …
Unveiling the Power of the Internet of Things: Exploring Services, Applications, and Overcoming Challenges
A Kumar, A Haque, A Hossain, S Raza, M Rahman… - LatIA, 2024 - dialnet.unirioja.es
Resumen The Internet of Things (IoT) has transcended its futuristic perception and become
an omnipresent reality. Its pervasive nature encompasses devices, sensors, clouds, big …
an omnipresent reality. Its pervasive nature encompasses devices, sensors, clouds, big …
[PDF][PDF] Phishing Website Detection: A Dataset-Centric Approach for Enhanced Security
Introduction: phishing involves cybercriminals creating fake websites that appear to be real
sites with the aim of obtaining personal information. With the increasing sophistication of …
sites with the aim of obtaining personal information. With the increasing sophistication of …