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Lecture Notes in Networks and Systems(2)
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2019 3rd Cyber Security in Networking Conference, CSNet 2019(1)
Communications in Computer and Information Science(1)
Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019(1)
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Characterizing phishing attacks using natural language processing
Conference ObjectAbstract: Currently, there are many ways that phishing attacks placed people and businesses at risk. In the ecPalabras claves:Mental model, Natural Language processing, PhishingAutores:Gustavo Ernesto Navas Ruilova, Jhonathan Herrera, María Fernanda Cazares, Roberto Omar Andrade, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopusClassification of Phishing Attack Solutions by Employing Deep Learning Techniques: A Systematic Literature Review
Conference ObjectAbstract: Phishing is the technique by which the attacker tries to obtain confidential information from the usPalabras claves:CYBERSECURITY, deep learning, Machine learning, Phishing, social engineeringAutores:Eduardo Benavides-Astudillo, Sánchez-Rubio M., Sandra Sanchez-Gordon, Walter FuertesFuentes:scopusComparative Study of Deep Learning Algorithms in the Detection of Phishing Attacks Based on HTML and Text Obtained from Web Pages
Conference ObjectAbstract: Phishing webpages are a type of cyber-attack whose objective is to try to deceive people through fraPalabras claves:deep learning, HTML code content, Phishing, Text content, WEB SCRAPINGAutores:Daniel Nu˜nez-Agurto, Eduardo Benavides-Astudillo, Germán Rodríguez-Galán, Sandra Sanchez-Gordon, VERONICA ISABEL MARTINEZ CEPEDA, Verónica Martínez-Cepeda, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopusA Pbkp_rediction Model to Prevent Phishing Attacks on E-Mails Using Data Mining Techniques
Conference ObjectAbstract: The current study presents a design and implementation of a pbkp_rediction model that prevents phishPalabras claves:Data Mining, pbkp_rediction model, Phishing, random forestAutores:Henry O. Cruz, HENRY OMAR CRUZ CARRILLO, Johanna Mishell Rosero, Theofilos Toulkeridis, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopusA Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detection
Conference ObjectAbstract: Attackers adapt their attacks to be more effective based on exploiting technical and human vulnerabiPalabras claves:cognitive security, Cyberattacks, Decision-making, PhishingAutores:Diana Arévalo, María Fernanda Cazares, Roberto Omar Andrade, Sánchez-Rubio M., Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopusImpact of Social Engineering Attacks: A Literature Review
Conference ObjectAbstract: Social engineering is the practice, which allows attackers to obtain sensitive or confidential inforPalabras claves:impact, Phishing, Social engineering attacks, vulnerabilityAutores:CARLOS ANDRES ESTRADA VASQUEZ, Diana Arévalo, Eduardo Benavides-Astudillo, Félix Oscar Fernández-Peña, Joyce Denisse Castro, Roberto Omar Andrade, Ron M., Walter FuertesFuentes:scopusPhishing Attacks: Detecting and Preventing Infected E-mails Using Machine Learning Methods
Conference ObjectAbstract: The main aim of the current study has been to provide a novel tool for detecting phishing attacks anPalabras claves:feature selection, Neural networks, Phishing, security, social engineeringAutores:Diego Oña, Eduardo Benavides-Astudillo, Germán Rodríguez-Galán, Lenin Zapata, Theofilos Toulkeridis, Walter FuertesFuentes:googlescopusPhishing attack detection: A solution based on the typical machine learning modeling cycle
Conference ObjectAbstract: The aim of the current study has been the design and development of a model for detecting Phishing aPalabras claves:decision tree, Machmachine learning, Naïve Bayes, Phishing, Supervised learningAutores:Bryan Espinosa, Eduardo Benavides-Astudillo, Jessica Simba, Roberto Omar Andrade, Theofilos Toulkeridis, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopus