A Survey on Machine Learning Approach to Detect Malware
| Autor: | Selvarathi C |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Software_OPERATINGSYSTEMS
Computer science business.industry General Mathematics A* search algorithm Machine learning computer.software_genre Education law.invention ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Computational Mathematics Software Computational Theory and Mathematics law Malware The Internet Artificial intelligence business computer Hacker |
| Zdroj: | Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12 |
| ISSN: | 1309-4653 |
| DOI: | 10.17762/turcomat.v12i2.1961 |
| Popis: | Malware is one of the predominant challenges for the Internet users. In recent times, the injection of malwares into machines by anonymous hackers have been increased. This drives us to an urgent need of a system that detects a malware. Our idea is to build a system that learns with the previously collected data related to malwares and detects a malware in the give file, if it is present. We propose a various machine learning algorithm to detect a malware and indicates the user about the danger. In particular we propose to use a algorithm which give a optimal solution to hardware and software oriented malwares. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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