Imagen de Portada

Android Malware Detection Using Equilibrium Optimized Deep Learning-Based Pattern Recognition

Fuente: Zenodo

Guardado en:

Detalles Bibliográficos
Autor principal:	M.Dattatreya Goud
Formato:	Recurso digital
Lenguaje:	inglés
Publicado:	Zenodo 2025
Materias:	Android Malware, Machine Learning ,Cybersecurity ,Extra Tree Classifier, Logistic Regression, Malware Detection.
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptive mathematical modeling for predicting and analyzing malware
por: Gulzhanat, Beketova, et al.
Publicado: (2025)

Filogenia de malware orientada al análisis de librerías
por: Juan Manuel Gutiérrez Cárdenas
Publicado: (2016)

O malware como meio de obtenção de prova e a sua implementação no ordenamento jurídico brasileiro
por: Gustavo Alves Magalhães Ribeiro
Publicado: (2022)

Virus informáticos, todo un caso, pero no perdido
por: Isaac Mata Villalpando- Becerra
Publicado: (2010)

Cyber Hacking Breaches Prediction Using Machine Learning
por: Narayan, Dr. Prabakaran, et al.
Publicado: (2026)

ENHANCING PDF MALWARE CLASSIFICATION USING CTGAN-BASED DATA AUGMENTATION AND SUPERVISED LEARNING
por: Amadou Diabagate Adama Coulibaly, et al.
Publicado: (2025)

Comparative Study of Android Library Detection Tools
por: Hatzky Tobias
Publicado: (2023)

Investigating Data Breach Factors Through the Lens of Modern Crime Theory: A Structural Equation Modeling Perspective
por: M.Dattatreya Goud
Publicado: (2025)

Online Subsidy Management System Using Machine Learning (Algorithm- Logistic Regression, Random Forest, Decision Tree)
por: Aniket Bhandare, Soundrya Biradar, Nikhil Lonari, Vishwaraj Pawar, Pallavee Bavane-Patil
Publicado: (2026)

Developing a framework for enhancing security testing of android applications
por: Adedeji Olaniyi Lamina, et al.
Publicado: (2024)

Cognitive Attack Topology (CAT): A Topological Framework for Modeling and Detecting Human-Centric Cyber Attacks
por: DHADI, SAI PRANEETH REDDY, et al.
Publicado: (2026)

Intrusion Detection System Using Supervised Machine Learning Models on the KDD Cup 1999 Dataset
por: Hadjioannou, Christos Stelios
Publicado: (2025)

Das materielle Computerstrafrecht
por: Bergauer, Christian
Publicado: (2016)

Developing and Evaluating Generative AI Models for Detection and Mitigation of Security Threats in 5G Networks
por: Bansal, Mukesh Kumar, et al.
Publicado: (2025)

DEEPFAKE TECHNOLOGY: THREAT LANDSCAPE, DETECTION TECHNIQUES, AND ETHICAL GOVERNANCE
por: Abbaz Primbetov, et al.
Publicado: (2025)

INCIDENT RESPONSE AUTOMATION
por: ijesat
Publicado: (2026)

Next-generation AI solutions for transaction security in digital finance
por: Ashar, Samay Deepak
Publicado: (2025)

An adaptable Intelligence Algorithm to a Cybersecurity Framework for IIOT
por: Santiago Ordoñez-Tumbo
Publicado: (2022)

AUTOMATED FRAUD DETECTION IN BANKING TRANSACTIONS USING AI TECHNIQUES
por: M. Dattatreya Goud
Publicado: (2025)

Detecting Cybersecurity Threats using Deep Learning
por: Ali, Ratul
Publicado: (2025)

A SURVEY OF MACHINE LEARNING MODELS FOR INFRASTRUCTURE RESILIENCE IN FINTECH APPLICATIONS
por: Patel, Dr. Jvalantkumar Kanaiyalal
Publicado: (2025)

AUTOMATED DETECTION OF SWAHILI SCAM MESSAGES IN TANZANIA USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING MODELS
por: Gaudance Stanslaus Tesha
Publicado: (2026)

CONTEMPORARY ECONOMIC DETERMINANTS FOR THE CHOICE OF THE LEADERS OF THE BRAZILIAN PUBLIC ADMINISTRATION
por: Jonatas Dutra Sallaberry
Publicado: (2019)

FACTORS INFLUENCING HOUSEHOLDS’ PARTICIPATION IN FOREST MANAGEMENT IN THE NORTHERN REGION OF GHANA
por: Jamal Mohammed
Publicado: (2017)

Enhancing Marble Waste Recycling Through Machine Learning: The Role of Particle Size Variation and Class Imbalance Mitigation
por: Shambhavi Sinha
Publicado: (2026)

EEG Motor Imagery Classification using Frequency-Domain and Spatial Filtering Methods: A Comparative Study
por: Satyamoorthy, Amrutha
Publicado: (2023)

Centralized Application-Context Aware Firewall with Gen-AI
por: Kumaran, B, et al.
Publicado: (2026)

WHAT IS AN EXCELLENT PLACE TO WORK? DIFFERENCES IN THE PERCEPTION OF MEN AND WOMEN IN THE CONSTRUCTION SECTOR
por: Nágila Giovanna Silva Vilela
Publicado: (2021)

Naive Bayes vs Logistic Regression: Theory, Implementation and Experimental Validation
por: Tapan Kumar Bhowmik
Publicado: (2015)

NEW MODELS TO PREDICT THE VISCOSITY OF EXTRA-HEAVY OIL IN COLOMBIAN FIELDS
por: Mauricio Pertuz-Parra
Publicado: (2014)

THE WEB AND IOT-BASED SMART NOTICE SYSTEM FOR PLACEMENT ELIGIBILITY FILTERING
por: E.Suresh, E.Dhanasri, M.Manasa, G.Srinu, A.Madhusilpa and P.Vishupriya
Publicado: (2026)

Cybersecurity Law: National Cybersecurity Legislations
por: Ijuo, Isaac, et al.
Publicado: (2025)

Chapter How to become a pastry chef: a statistical analysis through the company requirements
por: MARIANI, PAOLO, et al.
Publicado: (2022)

A critical analysis of customs-business partnership compliance the import and export enterprises with customs law and regulation
por: V.D NGUYEN
Publicado: (2019)

Determinantes do voto em João Dória nas eleições municipais de 2016 na cidade de São Paulo
por: Mário Lucas Heimbecher
Publicado: (2019)

EVALUATING FEATURE SELECTION METHODS AND CLASSIFIERS FOR CROP PREDICTION
por: International Journal of Technology, Leadership and Sciences
Publicado: (2026)

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas
por: Elias Nasr Naim Elias
Publicado: (2023)

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas
por: Elias Nasr Naim Elias
Publicado: (2023)

Asistente escolar para los estudiantes de Ingeniería de Software: una aplicación móvil
por: Julio César Díaz Mendoza
Publicado: (2016)

An Approach to Word Sense Disambiguation based on Semantic Classes and Machine Learning
por: Rubén Izquierdo
Publicado: (2011)