Dynamic Malware Analysis Using Cuckoo Sandbox
| Autor: | Yamini Sai Navya, Perla Raja, G. Rama Koteswara Rao, Sainadh Jamalpur, Gampala Tagore |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Software_OPERATINGSYSTEMS
biology business.industry Computer science 020206 networking & telecommunications 02 engineering and technology computer.software_genre biology.organism_classification Computer security ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Software 0202 electrical engineering electronic engineering information engineering Code (cryptography) Malware Cuckoo sandbox 020201 artificial intelligence & image processing The Internet Malware analysis business computer Cuckoo |
| Zdroj: | 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). |
| DOI: | 10.1109/icicct.2018.8473346 |
| Popis: | In the rapid use of the Internet the malware authors take the advantage by creating a new type of malwares and spreading it through the different ways to affect the millions of users. Malwares are difficult to detect and defensive mechanisms are often failed because of the signature based security solutions software's. In this paper we have shown how to use sandboxing technology to detect the untrusted code samples of the malware by performing the two approaches and determine their behavior by examiniging the behavior investigation of the malware by using the cuckoo sandbox. Cuckoo is a malicious code investigation tool which examines the malware more detail and provides the comprehensive results based on the series of tests made by it. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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