Abstract: There are disclosed a method and computing device for detecting malicious domain names in network traffic. The method comprises: receiving the network traffic from a data network, extracting a plurality of data packets from the network traffic, analyzing the plurality of data packets in order to extract at least one domain name from the plurality of data packets; generating, for a given one of the at least one domain names, a given numerical value representative of a suspiciousness of the given one of the at least one domain name, the given numeric value being based on a given set of features of domain name suspiciousness corresponding to one of the given set of analysis methods; classifying the at least one domain name as malicious domain names, in response to an analysis being indicative the given domain name being a malicious domain name.

Abstract: There is disclosed a method for determining malicious files in a network traffic, the method executable by a server. The method comprises: receiving the network traffic from a data communication network, retrieving a plurality of files from the network traffic, analyzing the plurality of files in order to detect at least one suspicious file, running the at least one suspicious file in at least one virtual machine, the at least one virtual machine associated with a set of the status parameters, determining changes in the set of the status parameters of the at least of one virtual machine, analyzing the changes in the set of status parameters using a set of the analysis rules such that to classify the at least one suspicious file as a malicious file based on the changes in the set of status parameters being indicative of the at least one file being the malicious file.

Abstract: There is provided a method for auto-generation of decision rules for attack detection feedback systems. The method is executed on a server. The method comprises: receiving at least one event from an event database, the event database having been generated from data obtained by at least one sensor; analyzing the at least one event to determine whether the at least one event belongs to a class of malware control center interactions; if the at least one event belongs to the class of malware control center interactions, extracting at least one attribute from the at least one event; generating decision rules using the at least one attribute; and saving the decision rules; saving the decision rules, the decision rules being instrumental in updating what type of further data is obtained by the at least one sensor based on the decision rule.

Abstract: There are disclosed a method and computing device for detecting malicious domain names in network traffic. The method comprises: receiving the network traffic from a data network, extracting a plurality of data packets from the network traffic, analyzing the plurality of data packets in order to extract at least one domain name from the plurality of data packets; generating, for a given one of the at least one domain names, a given numerical value representative of a suspiciousness of the given one of the at least one domain name, the given numeric value being based on a given set of features of domain name suspiciousness corresponding to one of the given set of analysis methods; classifying the at least one domain name as malicious domain names, in response to an analysis being indicative the given domain name being a malicious domain name.

Abstract: There is disclosed a method for determining malicious files in a network traffic, the method executable by a server. The method comprises: receiving the network traffic from a data communication network, retrieving a plurality of files from the network traffic, analyzing the plurality of files in order to detect at least one suspicious file, running the at least one suspicious file in at least one virtual machine, the at least one virtual machine associated with a set of the status parameters, determining changes in the set of the status parameters of the at least of one virtual machine, analyzing the changes in the set of status parameters using a set of the analysis rules such that to classify the at least one suspicious file as a malicious file based on the changes in the set of status parameters being indicative of the at least one file being the malicious file.

Abstract: There is provided a method for auto-generation of decision rules for attack detection feedback systems. The method is executed on a server. The method comprises: receiving at least one event from an event database, the event database having been generated from data obtained by at least one sensor; analyzing the at least one event to determine whether the at least one event belongs to a class of malware control center interactions; if the at least one event belongs to the class of malware control center interactions, extracting at least one attribute from the at least one event; generating decision rules using the at least one attribute; and saving the decision rules; saving the decision rules, the decision rules being instrumental in updating what type of further data is obtained by the at least one sensor based on the decision rule.