A URL(Uniform Resource Locator)is used to locate a digital resource.With this URL,an attacker can perform a variety of attacks,which can lead to serious consequences for both individuals and organizations.Therefore,at...A URL(Uniform Resource Locator)is used to locate a digital resource.With this URL,an attacker can perform a variety of attacks,which can lead to serious consequences for both individuals and organizations.Therefore,attackers create malicious URLs to gain access to an organization’s systems or sensitive information.It is crucial to secure individuals and organizations against these malicious URLs.A combination of machine learning and deep learning was used to predict malicious URLs.This research contributes significantly to the field of cybersecurity by proposing a model that seamlessly integrates the accuracy of machine learning with the swiftness of deep learning.The strategic fusion of Random Forest(RF) and Multilayer Perceptron(MLP)with an accuracy of 81% represents a noteworthy advancement,offering a balanced solution for robust cybersecurity.This study found that by combining RF and MLP,an efficient model was developed with an accuracy of 81%and a training time of 33.78 s.展开更多
文摘A URL(Uniform Resource Locator)is used to locate a digital resource.With this URL,an attacker can perform a variety of attacks,which can lead to serious consequences for both individuals and organizations.Therefore,attackers create malicious URLs to gain access to an organization’s systems or sensitive information.It is crucial to secure individuals and organizations against these malicious URLs.A combination of machine learning and deep learning was used to predict malicious URLs.This research contributes significantly to the field of cybersecurity by proposing a model that seamlessly integrates the accuracy of machine learning with the swiftness of deep learning.The strategic fusion of Random Forest(RF) and Multilayer Perceptron(MLP)with an accuracy of 81% represents a noteworthy advancement,offering a balanced solution for robust cybersecurity.This study found that by combining RF and MLP,an efficient model was developed with an accuracy of 81%and a training time of 33.78 s.
