| Author Name | Affiliation | Postcode | | I. Nasurulla | Department of MCA, VEMU Institute of Technology, Chittoor District 517112, Andhra Pradesh, India | 517112 | | K.Hemalatha | Department of Computer Science and Engineering (AI) , Madanapalle Institute of Technology & Science, Madanapalle 517325, India | 517325 | | P.Ramachandran* | Department of MCA, Parul institute of Engineering and Technology, Vadodra 391760, India | 391760 | | S.Parvathi | Department. of Computer Science and Engineering, Erode Sengunthar Engineering College, Perundurai 638057,India | 638057 |
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| Abstract: |
| Cloud environments are essential for modern computing, but are increasingly vulnerable to side-channel attacks (SCAs), which exploit indirect information to compromise sensitive data. To address this critical challenge, we propose SecureCons Framework (SCF), a novel consensus-based cryptographic framework designed to enhance resilience against SCAs in cloud environments. SCF integrates a dual-layer approach combining lightweight cryptographic algorithms with a blockchain-inspired consensus mechanism to secure data exchanges and thwart potential side-channel exploits. The framework includes adaptive anomaly detection models, cryptographic obfuscation techniques, and real-time monitoring to identify and mitigate vulnerabilities proactively. Experimental evaluations demonstrate the framework""s robustness, achieving over 95% resilience against advanced SCAs with minimal computational overhead. SCF provides a scalable, secure, and efficient solution, setting a new benchmark for side-channel attack mitigation in cloud ecosystems. |
| Key words: Cloud computing, side channel attacks, HAVAL cryptographic hash, Wilcoxon signed-rank test consensus mechanism, improved schmidt-samoa cryptography |
| DOI：10.11916/j.issn.1005-9113.2023130 |
| Clc Number:TP309 |
| Fund: |
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| Descriptions in Chinese: |
| Cloud environments are essential for modern computing, but are increasingly vulnerable to side-channel attacks (SCAs), which exploit indirect information to compromise sensitive data. To address this critical challenge, we propose SecureCons Framework (SCF), a novel consensus-based cryptographic framework designed to enhance resilience against SCAs in cloud environments. SCF integrates a dual-layer approach combining lightweight cryptographic algorithms with a blockchain-inspired consensus mechanism to secure data exchanges and thwart potential side-channel exploits. The framework includes adaptive anomaly detection models, cryptographic obfuscation techniques, and real-time monitoring to identify and mitigate vulnerabilities proactively. Experimental evaluations demonstrate the framework""s robustness, achieving over 95% resilience against advanced SCAs with minimal computational overhead. SCF provides a scalable, secure, and efficient solution, setting a new benchmark for side-channel attack mitigation in cloud ecosystems. |
