Abstract: A system, method and computer program product for detection of the previously unknown malware, the method comprising: (a) receiving event information and file metadata from a remote computer; (b) identifying whether the event information or the file metadata are indicative of the already known malware presence, indicative of the unknown malware presence, or indicative of malware absence; (c) if the event information or the file metadata are indicative of the known malware or indicative of malware absence, filtering out the event information and the file metadata; (d) performing a risk analysis and risk assessment for the remaining event information and the remaining file metadata to determine if the event and the file metadata are indicative of the previously unknown malware presence; and (e) where performing a risk analysis and risk assessment includes a “parent-child” hierarchy of the files, and the risk assessed to the parent is based on the risk associated with the child.

Abstract: A system, method and computer program product for detection of the previously unknown malware, the method comprising: (a) receiving event information and file metadata from a remote computer; (b) identifying whether the event information or the file metadata are indicative of the already known malware presence, indicative of the unknown malware presence, or indicative of malware absence; (c) if the event information or the file metadata are indicative of the known malware or indicative of malware absence, filtering out the event information and the file metadata; (d) performing a risk analysis and risk assessment for the remaining event information and the remaining file metadata to determine if the event and the file metadata are indicative of the previously unknown malware presence; and (e) where performing a risk analysis and risk assessment includes a “parent-child” hierarchy of the files, and the risk assessed to the parent is based on the risk associated with the child.

Abstract: A system, method and computer program product for detection of epidemics caused by malware programs or computer viruses. Detection of local and global epidemics is performed automatically. A source of an epidemic is calculated and analyzed based on collected statistics. A spread of the epidemic is predicted and an accurate prognosis referring to the time frame and to geographical areas of the epidemic spread is made. The prognosis is made based on a calculated value of “connection strength” coefficient. The connection strength coefficient reflects a volume of information exchange (i.e., a number and a quality of connection channels) between the countries. An epidemic is detected in its infancy and its spread is monitored in time and propagation across different countries. Then, effective security and protection measures can be invoked in a timely manner.