Author(s): Pramod kumar, Rohit Singhal and Viresh Sharma

Abstract: The objective of this study is to assess and improve the security of cloud systems by analyzing the efficacy of different security mechanisms and identifying deficiencies in existing frameworks. The technique encompasses a methodical examination of existing literature, conducting surveys, engaging in interviews with industry experts, and analyzing case studies of cloud security breaches. The data collection process centers on evaluating the efficacy of firewalls, encryption, AI-driven threat detection systems, Multi-Factor Authentication (MFA), and Intrusion Detection Systems (IDS). The results demonstrate that firewalls and encryption are extremely efficient, while AI-powered threat detection achieves the highest efficacy score of 4.5 with minimum administration challenges. Notable enhancements were noted: The Incident Detection Rate decreased by 66%, the False Positive Rate dropped by 30%, and Vulnerability Remediation Time decreased by 60%. The compliance rates rose to 95%, the user training achieved a level of 70%, and the cost efficiency experienced a 25% improvement. These findings emphasize the effectiveness of sophisticated security solutions and enhanced procedures in reducing cloud security threats.

Pages: 32-37 | Views: 94 | Downloads: 51

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