System and methods for malware detection using log based crowdsourcing analysis
Abstract:
A crowdsourcing log analysis system and methods for protecting computers and networks from malware attacks by analyzing data log information obtained from a plurality of client network. The client networks are associated with a set of network entities representing a plurality of business units or customers. The system may further comprise a plurality of server machines, each operable to execute a security product associated with a security product vendor and log associated information of at the network entities into at least one log file. The log files may be uploaded onto a breach detection platform for analysis based upon crowdsourcing principles and is operable to generate a risk factor attribute for at least one suspect entity.
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