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OpenTalks.AI - Александр Чистяков, Построение о...
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OpenTalks.AI
February 15, 2019
Science
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OpenTalks.AI - Александр Чистяков, Построение общего глубокого представления исполняемых файлов для поиска новых угроз и расследования киберпреступлений
OpenTalks.AI
February 15, 2019
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Transcript
1 Constructing shared deep representation of executable files to search
for new threats and cybercrime investigations Alexander Chistyakov Senior Research-Developer, Detection Methods Analysis, Kaspersky Lab
2 File processing route (known threat) Benign file Malicious file
Download file Check file’s reputation Static analysis Dynamic analysis Execution artefacts Raw file artefacts Status, popularity, sources, … Label obtained?
File processing route (modified known threat) Download file Check file’s
reputation Static analysis Dynamic analysis Execution artefacts Raw file artefacts Status, popularity, sources, … ML detection model Benign file Malicious file Label obtained?
File processing route (new unknown threat) Download file Check file’s
reputation Static analysis Dynamic analysis Execution artefacts Raw file artefacts Status, popularity, sources, … ML detection model Expert decision Benign file Malicious file
Manual data labeling Expert decision Benign file Malicious file Dynamic
analysis
6 World 2 Vec
Latent representations for malware Executable file 1. Polymorphic 2. Obfuscated
3. Selfpacked 4. Multicomponent Execution process 1. Context dependent 2. Unstable 3. Concurrent 4. Distributed
Evidence lower bound Variational Auto-Encoder (Basic) Variational Auto-Encoder (Symmetric)
File and file’s behavior joint distribution
File’s behavior conditional distribution
File’s and behavior shared embedding
Reducing internal traffic Expert decision Benign file Malicious file File’s
distribution approximator Dynamic analysis
Reducing external traffic User 1 User 2 User 3 Previously
observed malware collection File’s distribution approximator
Cybercrime investigations File’s distribution approximator Incident logs and artefacts Corporate
network Alarm!
What’s next? 1.Estimating real world file’s distribution 2.Avoiding model-based adversarial
attacks 3.Preventing private data leakage 4.Environment based anomaly detection
LET’S TALK? Kaspersky Lab HQ 39A/3 Leningradskoe Shosse Moscow, 125212,
Russian Federation Tel: +7 (495) 797-8700 www.kaspersky.com