Add to ORKGIn this paper, we compare the performance of several machine learning based approaches for the tasks of detecting algorithmically generated malicious domains and the categorization of domains according to their malware family. The datasets used for model comparison were provided by the shared task on Detecting Malicious Domain names (DMD 2018). Our models ranked first for two out of the four test datasets provided in the competition. © Springer Nature Singapore Pte Ltd. 2019
For a long time researchers have focused on the binary classification of domain names sent to DNS se...
Domain Generation Algorithms (DGAs) are a popular technique used by contemporary malware for command...
Domain name detection techniques are widely used to detect Algorithmically Generated Domain names (A...
Cybersecurity attacks are constantly occurring and tend to increase every year. Defensive and preven...
Domain generation algorithm (DGA) is used as the main source of script in different groups of malwar...
Malicious web domains represent a big threat to web users\u27 privacy and security. With so much fre...
Malware typically uses Domain Generation Algorithms (DGAs) as a mechanism to contact their Command a...
Domain Generation Algorithms (DGAs) are a popular technique used by contemporary malware for command...
The file attached to this record is the author's final peer reviewed version.open access articleOne ...
This research study mainly focused on the dynamic malware detection. Malware progressively changes, ...
Malware is becoming a major cybersecurity threat with increasing frequency every day. There are seve...
Botnets are one of the major cyber infections used in several criminal activities. In most botnets, ...
Malware is becoming more intelligent as static methods for blocking communication with Command and C...
International audienceCategorization of modern malware samples on the basis of their behavior has be...
New types of malware with unique characteristics are being created daily in legion. This exponential...
For a long time researchers have focused on the binary classification of domain names sent to DNS se...
Domain Generation Algorithms (DGAs) are a popular technique used by contemporary malware for command...
Domain name detection techniques are widely used to detect Algorithmically Generated Domain names (A...
Cybersecurity attacks are constantly occurring and tend to increase every year. Defensive and preven...
Domain generation algorithm (DGA) is used as the main source of script in different groups of malwar...
Malicious web domains represent a big threat to web users\u27 privacy and security. With so much fre...
Malware typically uses Domain Generation Algorithms (DGAs) as a mechanism to contact their Command a...
Domain Generation Algorithms (DGAs) are a popular technique used by contemporary malware for command...
The file attached to this record is the author's final peer reviewed version.open access articleOne ...
This research study mainly focused on the dynamic malware detection. Malware progressively changes, ...
Malware is becoming a major cybersecurity threat with increasing frequency every day. There are seve...
Botnets are one of the major cyber infections used in several criminal activities. In most botnets, ...
Malware is becoming more intelligent as static methods for blocking communication with Command and C...
International audienceCategorization of modern malware samples on the basis of their behavior has be...
New types of malware with unique characteristics are being created daily in legion. This exponential...
For a long time researchers have focused on the binary classification of domain names sent to DNS se...
Domain Generation Algorithms (DGAs) are a popular technique used by contemporary malware for command...
Domain name detection techniques are widely used to detect Algorithmically Generated Domain names (A...