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A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
OtherAbstract: As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult toPalabras claves:Artificial intelligence, Botnets, Cyber-threat, Cybersecurity, Deep learning, Encrypted traffic analysis, intrusion detection, Machine Learning, Spam filteringAutores:Mayra MacAs, WALTER MARCELO FUERTES DÍAZ, Wu C.Fuentes:googleorcidscopusSocial Engineering Shoulder Surfing Attacks (SSAs): A Literature Review. Lessons, Challenges, and Future Directions
OtherAbstract: Shoulder Surfing Attacks (SSAs) represent a significant threat to user authentication (UA) methods,Palabras claves:dace recognition, Deep learning, Detection, mitigation, Shoulder surfing, user authenticationAutores:Bryan Zurita, Mayra MacAs, Santiago Bosque, WALTER MARCELO FUERTES DÍAZFuentes:orcidscopusLiterature Review of SMS Phishing Attacks: Lessons, Addresses, and Future Challenges
OtherAbstract: Social engineering short message service (SMS) Phishing (smishing) attacks have increased with the rPalabras claves:Attack, Deep learning, Detection, SLR, SMiShing, SMS PhishingAutores:Diana Barrera, Mayra MacAs, Valery Naranjo, WALTER MARCELO FUERTES DÍAZFuentes:orcidscopusAdversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
ReviewAbstract: Over the last few years, the adoption of machine learning in a wide range of domains has been remarkPalabras claves:Adversarial examples, adversarial machine learning, Cyber threats, Cybersecurity, Deep learningAutores:Mayra MacAs, WALTER MARCELO FUERTES DÍAZ, Wu C.Fuentes:orcidscopusHuman and Cognitive Factors involved in Phishing Detection. A Literature Review
Abstract: Human and cognitive factors considerably influence social engineering attacks. Cybercriminals take aPalabras claves:Cognitive psychology, cognitive security, human factors, Phishing, Risk perceptionAutores:Daría Valarezo, Diana Arévalo, María Fernanda Cazares, Mayra MacAs, Roberto Omar Andrade Paredes, WALTER MARCELO FUERTES DÍAZFuentes:scopusAn Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
Abstract: Anomaly detection is critical for the secure and reliable operation of industrial control systems. APalabras claves:Anomaly detection, CNN, Deep learning, Dynamic Threshold, Industrial Control Systems, Internet of Things, variational autoencoderAutores:Mayra MacAs, WALTER MARCELO FUERTES DÍAZ, Wu C.Fuentes:scopusData Mining model in the discovery of trends and patterns of intruder attacks on the data network as a public-sector innovation
Conference ObjectAbstract: Innovation in the public-sector refers to the development of important improvements in the public adPalabras claves:CRISP-DM, data mining, data networks attacks, IDS/IPS, Machine Learning, public-sector innovationAutores:Graciela Guerrero Idrovo, Lidia Lagla, Mayra MacAs, Theofilos Toulkeridis, WALTER MARCELO FUERTES DÍAZFuentes:googleorcidscopusArtificial Intelligence-Based Banana Ripeness Detection
Conference ObjectAbstract: This paper aims to construct an artificial intelligence model that detects the level of ripeness ofPalabras claves:Artificial intelligence, Banana ripeness, HSV, RBF, SVM multiclassAutores:Jorge Enríquez, Mayra MacAsFuentes:scopusAn Environment-Specific Prioritization Model for Information-Security Vulnerabilities Based on Risk Factor Analysis
ArticleAbstract: Vulnerabilities represent a constant and growing risk for organizations. Their successful exploitatiPalabras claves:prioritization model, probability theory, risk factor, SHODAN, Vulnerability detection, Vulnerability scanningAutores:Jorge Reyes, Mayra MacAs, Paco Arévalo, WALTER MARCELO FUERTES DÍAZFuentes:googleorcidscopusAn unsupervised framework for anomaly detection in a water treatment system
Conference ObjectAbstract: Current Cyber-Physical Systems (CPSs) are sophisticated, complex, and equipped with networked sensorPalabras claves:Anomaly detection, Attention Mechanism, CPS, Multivariate Time SeriesAutores:Mayra MacAs, Wu C.Fuentes:scopus