Malware Analysis and Detection via Activity Trees in User-Dependent Environment
| Autor: | Anton Kopeikin, Dina Satybaldina, Nurlan Tashatov, Arnur G. Tokhtabayev |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Spear phishing Social network business.industry Computer science Payload (computing) 0211 other engineering and technologies Insider threat 020207 software engineering 02 engineering and technology computer.software_genre Computer security ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS 0202 electrical engineering electronic engineering information engineering Malware Malware analysis business computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319651262 MMM-ACNS |
| Popis: | We present a new system that offers detection and analysis of modern complex malware including user-oriented and targeted attacks. These attacks stem from users’ misbehavior, e.g. misinterpreting or ignoring security alerts, which lead to proliferation of malicious objects inside trusted perimeter of cyber-security systems (e.g. exclusion list of AVs). The attack mechanisms include strategic web compromise, spear phishing, insider threat and social network malware. Moreover, targeted attacks often deliver zero-day malware that is made difficult to be detected, e.g. due to distributed malicious payload. |
| Databáze: | OpenAIRE |
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