[HTML][HTML] Ransomware detection using the dynamic analysis and machine learning: A survey and research directions
U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
Reinforcement learning for iot security: A comprehensive survey
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
A character-level BiGRU-attention for phishing classification
L Yuan, Z Zeng, Y Lu, X Ou, T Feng - Information and Communications …, 2020 - Springer
Online phishing usually tricks victims by showing fake information which is similar to the
legitimate one, so that the phishers could elevate their privileges. In order to guard users …
legitimate one, so that the phishers could elevate their privileges. In order to guard users …
On detecting and mitigating phishing attacks through featureless machine learning techniques
CH Martins de Souza, MOO Lemos… - Internet Technology …, 2020 - Wiley Online Library
The expansion of the Internet has grown the possibilities for fraudulent actions. Among these
possibilities, we highlight the phishing activity, created with the objective of capturing user's …
possibilities, we highlight the phishing activity, created with the objective of capturing user's …
PhishKiller: Uma Ferramenta para Detecçao e Mitigaçao de Ataques de Phishing Através de Técnicas de Deep Learning
The expansion of the Internet has grown the possibilities for fraudulent actions. Among these
possibilities, we highlight the phishing activity, created with the objective of capturing the …
possibilities, we highlight the phishing activity, created with the objective of capturing the …
[PDF][PDF] A COMPARATIVE STUDY OF INTRUSION DETECTION SYSTEMS USING RNN AND DNN DEEP LEARNING MODELS
L Han, TMZ Murah - ftsm.ukm.my
Intrusion detection is an effective network security defense technology that identifies
intrusions mainly by collecting and analyzing network data. Most traditional intrusion …
intrusions mainly by collecting and analyzing network data. Most traditional intrusion …