Acronis International Gmbh

Seguei Beloussov

Stanislav Protasov

Vladimir Strogov

Sergey Ulasen

Forensic analysis on consistent system footprints relates to a system and method for rootkit detection based on forensic analysis performed on consistent system footprints, such as application events, application network communications and application files. The system includes a security system periodically monitoring one or more applications of a computing system. The security system includes a threat detection unit for collecting and storing system memory dumps, a machine learning module trained on clean and infectious memory dump, a similarity scanner to identify similarity between suspicious memory block and consistent system footprints, and a forensic analyzer to perform forensic analysis and detect infection, if any, based on the similarity found. The suspicious memory block is identified by the threat detection unit based on the analysis performed by the machine learning model. Upon rootkit detection an alert and forensic analysis report are generated.

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Singapore, Singapore

Seguei Beloussov