Actividades cotidianas de los jóvenes en Internet y victimización por malware

Actividades cotidianas de los jóvenes en Internet y victimización por malware

<p>En los últimos años se ha experimentado un crecimiento exponencial de <em>malware</em> o programas maliciosos que circulan a través de la Red y, sin embargo, poco se sabe acerca del alcance que tiene esta forma de cibercriminalidad entre la población juvenil y de los factores de...

Full description

Bibliographic Details
Main Author:	Natalia García Guilabert
Format:	Article
Language:	Catalan
Published:	Universitat Oberta de Catalunya 2016-07-01
Series:	IDP
Subjects:	cybervictimization young people malware routine activities
Online Access:	https://idp.uoc.edu/articles/2969

Similar Items

Understanding the cyber-victimization of young people: A test of routine activities theory
by: Candace E. Griffith, et al.
Published: (2023-03-01)

On the Effectiveness of Perturbations in Generating Evasive Malware Variants
by: Beomjin Jin, et al.
Published: (2023-01-01)

Analyzing temporal graphs of malware distribution networks
by: Jose Andre Morales, et al.
Published: (2022-07-01)

Malware Threat on Edge/Fog Computing Environments From Internet of Things Devices Perspective
by: Ibrahim Gulatas, et al.
Published: (2023-01-01)

Tools and Techniques for Collection and Analysis of Internet-of-Things malware: A systematic state-of-art review
by: Sanjay Madan, et al.
Published: (2022-11-01)

Android Malware Category and Family Identification Using Parallel Machine Learning
by: Ahmed Hashem El Fiky, et al.
Published: (2022-07-01)

Searching Malware and Sources of Its Distribution in the Internet
by: L. L. Protsenko
Published: (2011-09-01)

A Comprehensive Review on Malware Detection Approaches
by: Omer Aslan, et al.
Published: (2020-01-01)

MalFe—Malware Feature Engineering Generation Platform
by: Avinash Singh, et al.
Published: (2023-10-01)

Design of Automation Environment for Analyzing Various IoT Malware
by: Sungwon Lee, et al.
Published: (2021-01-01)

GANG-MAM: GAN based enGine for Modifying Android Malware
by: Renjith G., et al.
Published: (2022-06-01)

Approach to assessing the danger of destructive effects of malware on special-purpose automated systems
by: Alexander V. Melnikov, et al.
Published: (2023-09-01)

A New Malware Classification Framework Based on Deep Learning Algorithms
by: Omer Aslan, et al.
Published: (2021-01-01)

A Robust CNN for Malware Classification against Executable Adversarial Attack
by: Yunchun Zhang, et al.
Published: (2024-03-01)

Sisyfos: A Modular and Extendable Open Malware Analysis Platform
by: Dimitrios Serpanos, et al.
Published: (2021-03-01)

Malware Detection Issues, Challenges, and Future Directions: A Survey
by: Faitouri A. Aboaoja, et al.
Published: (2022-08-01)

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics
by: Sai Manoj Pudukotai Dinakarrao, et al.
Published: (2020-01-01)

PAIRED: An Explainable Lightweight Android Malware Detection System
by: Mohammed M. Alani, et al.
Published: (2022-01-01)

Cyberbullying: A study of its extent, coping resources, and psychological impact among college students
by: Shampa Gupta, et al.
Published: (2023-01-01)

Network Analysis of Emotional Symptoms and their Relationship with Different Types of Cybervictimization
by: María M. Molero, et al.
Published: (2023-01-01)

A Streamlined Framework of Metamorphic Malware Classification via Sampling and Parallel Processing
by: Jian Lyu, et al.
Published: (2023-10-01)

Institutionalized unpredictability and café routines: The case of young people in Bosnia and Herzegovina
by: Čelebičić Vanja
Published: (2017-01-01)

Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis
by: Ehab Alkhateeb, et al.
Published: (2024-02-01)

Cybervictimization, Depression, and Adolescent Internet Addiction: The Moderating Effect of Prosocial Peer Affiliation
by: Zhenhai Wang, et al.
Published: (2020-09-01)

BENCHMARKING MACHINE LEARNING ALGORITHMS FOR ANDROID MALWARE DETECTION
by: Somayyeh Fallah, et al.
Published: (2019-12-01)

Cross-device behavioral consistency: Benchmarking and implications for effective android malware detection
by: Alejandro Guerra-Manzanares, et al.
Published: (2022-09-01)

Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
by: Sharjeel Riaz, et al.
Published: (2022-11-01)

A Classification System for Visualized Malware Based on Multiple Autoencoder Models
by: Jongkwan Lee, et al.
Published: (2021-01-01)

Malware behaviour profiling from unstructured data /
by: Chiam, Yoong Jien, 1994-, author, et al.
Published: (2019)

Malware behaviour profiling from unstructured data /
by: Chiam, Yoong Jien, 1994-, author, et al.
Published: (2019)

Machine learning approach to malware classifications / detection /
by: Fadzlie Aimi Mohd. Zain, 1986-, et al.
Published: (2011)

Binary and Multi-Class Malware Threads Classification
by: Ismail Taha Ahmed, et al.
Published: (2022-12-01)

Malware Variant Identification Using Incremental Clustering
by: Paul Black, et al.
Published: (2021-07-01)

Evaluation of Survivability of the Automatically Obfuscated Android Malware
by: Himanshu Patel, et al.
Published: (2022-05-01)

A Comprehensive Analysis of Today’s Malware and Its Distribution Network: Common Adversary Strategies and Implications
by: Siwon Huh, et al.
Published: (2022-01-01)

Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework
by: Faiza Babar Khan, et al.
Published: (2024-01-01)

A Malware Detection Approach Using Autoencoder in Deep Learning
by: Xiaofei Xing, et al.
Published: (2022-01-01)

A Study on the Digital Forensic Investigation Method of Clever Malware in IoT Devices
by: Dohyun Kim, et al.
Published: (2020-01-01)

An empirical study of problems and evaluation of IoT malware classification label sources
by: Tianwei Lei, et al.
Published: (2024-01-01)

A Review of State-of-the-Art Malware Attack Trends and Defense Mechanisms
by: Jannatul Ferdous, et al.
Published: (2023-01-01)