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Agent-based vs agent-less sandbox for dynamic behavioral analysis

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    389 Downloads (Pure)

    Abstract

    Malicious software is detected and classified by either static analysis or dynamic analysis. In static analysis, malware samples are reverse engineered and analyzed so that signatures of malware can be constructed. These techniques can be easily thwarted through polymorphic, metamorphic malware, obfuscation and packing techniques, whereas in dynamic analysis malware samples are executed in a controlled environment using the sandboxing technique, in order to model the behavior of malware. In this paper, we have analyzed Petya, Spyeye, VolatileCedar, PAFISH etc.Through Agent-based and Agentless dynamic sandbox systems in order to investigate and benchmark their efficiency in advanced malware detection.

    Original languageEnglish
    Title of host publication2018 Global Information Infrastructure and Networking Symposium, GIIS 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages5
    ISBN (Electronic)978-1-5386-7272-3
    ISBN (Print)978-1-5386-7273-0
    DOIs
    Publication statusPublished - 7 Feb 2019
    Event2018 Global Information Infrastructure and Networking Symposium - Thessaloniki, Greece
    Duration: 23 Oct 2018 → 25 Oct 2018

    Publication series

    Name2018 Global Information Infrastructure and Networking Symposium, GIIS 2018
    PublisherIEEE
    ISSN (Print)2379-3783
    ISSN (Electronic)2150-329X

    Conference

    Conference2018 Global Information Infrastructure and Networking Symposium
    Abbreviated titleGIIS 2018
    Country/TerritoryGreece
    CityThessaloniki
    Period23/10/18 → 25/10/18

    Keywords

    • Cuckoo
    • Dynamic analysis
    • Malware detection
    • Static analysis
    • VMRay

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