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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 Fuertes, Walter Marcelo Fuertes-Díaz, Wu C.Fuentes:googlescopusEnhanced cyber-physical security through deep learning techniques
Conference ObjectAbstract: Nowadays that various aspects of our lives depend on complex cyber-physical systems, automated anomaPalabras claves:Anomaly detection, Critical infrastructures, Deep learningAutores:Chunming W., Mayra MacAsFuentes:scopusSocial 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 FuertesFuentes:scopusLiterature 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 FuertesFuentes:scopusAdversarial 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 Fuertes, Wu C.Fuentes: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 Fuertes, Wu C.Fuentes:scopus