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Development of Two-Factor Authentication to Mitigate Phishing Attack

Journal of Software Engineering and Applications 2024年第11期17卷 787-802页

作者： Varun Dixit davinderjit kaur Omnissa LLC Palo Alto CA USA MedROAD Lab University of Alberta Edmonton Canada

The two-factor authentication mechanism is gaining popularity as more people are becoming aware of the need to secure their identities. In the current form, existing 2FA systems are defenseless against phishing attacks. They do not provide any visual indicator to the user to check the website’s validity before logging in during phishing attacks. This exposes the user’s password during the phishing attack. Two-factor authentication needs to be enhanced to provide a mechanism to detect phishing attacks without adding a significant burden on the user. This research paper will propose a novel 2-FA TOTP mechanism to provide a subconscious indicator during a phishing attack. In comparison, the new proposed novel approach provides better security against phishing attack. Lastly, the mathematical analysis is performed to understand the TOTP variance and validate the security considerations against the existing 2FA systems with respect to adversary attack.

关键词： Two Factor Authentication 2FA Phishing Attack Fixed 2FA TOTP HMAC

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Secure and Efficient Outsourced Computation in Cloud Computing Environments

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Journal of Software Engineering and Applications 2024年第9期17卷 750-762页

作者： Varun Dixit davinderjit kaur Omnissa LLC Palo Alto CA USA MedROAD Lab University of Alberta Edmonton Canada

Secure and efficient outsourced computation in cloud computing environments is crucial for ensuring data confidentiality, integrity, and resource optimization. In this research, we propose novel algorithms and methodologies to address these challenges. Through a series of experiments, we evaluate the performance, security, and efficiency of the proposed algorithms in real-world cloud environments. Our results demonstrate the effectiveness of homomorphic encryption-based secure computation, secure multiparty computation, and trusted execution environment-based approaches in mitigating security threats while ensuring efficient resource utilization. Specifically, our homomorphic encryption-based algorithm exhibits encryption times ranging from 20 to 1000 milliseconds and decryption times ranging from 25 to 1250 milliseconds for payload sizes varying from 100 KB to 5000 KB. Furthermore, our comparative analysis against state-of-the-art solutions reveals the strengths of our proposed algorithms in terms of security guarantees, encryption overhead, and communication latency.

关键词： Secure Computation Cloud Computing Homomorphic Encryption Secure Multiparty Computation Resource Optimization

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