Developing PDP model by using malware detection techniques for securing cloud storage data using cryptanalysis
Sayema Kausar, Shrikant V. Sonekar, Pranoti Prashant Mane · AIP conference proceedings · 2022
This model advocates detection plus protection better than the existing one. This model will first detect the malware and then remove the unwanted (delinquent systems) one. It will mention the number of systems corrupted by the source (type of attack). After detection it will indicate the measures to be taken for the correct functioning of the system. The future effect of existing model is questionable as it can't mention or detect the number of systems corrupted and also the type of corruption. This article commends a replacement model for existing device. It offers numerous vital blessings along with higher identification of malicious software program, more desirable forensics capabilities and amended deploy ability. This conjoins detection techniques, static signatures examine and Dynamic analysis detection. With this procedure, existing models provide approx 35% better detection coverage and with new model, we will try to enhance the detection coverage percentage.