DETECTION OF MALWARES IN PDF FILE USING DEEP LEARNING.
In recent times, malware has been growing continuously as in our digital world. The detection of malware is important for recognizing cyber security problems in society. In recent years AI techniques are exploited to sense the malware. Based on the approach of signature for detecting the products li...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 689 - 697 |
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| Autores principales: | , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | In recent times, malware has been growing continuously as in our digital world. The detection of malware is important for recognizing cyber security problems in society. In recent years AI techniques are exploited to sense the malware. Based on the approach of signature for detecting the products like malware and antivirus with the help of assumption rules in order to identify and categorize the various groups in malware detection types. Due to the particular specified rules, it seems very difficult to acknowledge the newly occurred malware. In recent times, the widely used technique with improved performance even in larger datasets is Deep learning algorithm. Deep learning techniques are capable o to discriminate benevolent and malevolent files without cost and unreliable feature engineering. |
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