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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.11661 |
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| _version_ | 1866909581387497472 |
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| author | Janani, Kush |
| author_facet | Janani, Kush |
| contents | Cybersecurity often hinges on unpredictability, with a system's defenses being strongest when sensitive values and behaviors cannot be anticipated by attackers. This paper explores the concept of entropy injection-deliberately infusing randomness into security mechanisms to increase unpredictability and enhance system security. We examine the theoretical foundations of entropy-based security, analyze real-world implementations including Address Space Layout Randomization (ASLR) and Moving Target Defense (MTD) frameworks, evaluate practical challenges in implementation, and compare entropy-based approaches with traditional security methods. Our methodology includes a systematic analysis of entropy's role across various security domains, from cryptographic operations to system-level defenses. Results demonstrate that entropy injection can significantly reduce attack probability, with some implementations showing more than 90% reduction with minimal performance impact. The discussion highlights the trade-offs between security benefits and operational complexity, while identifying future directions for entropy-enhanced security, including integration with artificial intelligence and quantum randomness sources. We conclude that entropy injection represents a paradigm shift from reactive defense to proactive uncertainty management, offering a strategic approach that can fundamentally alter the balance between attackers and defenders in cybersecurity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11661 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cybersecurity through Entropy Injection: A Paradigm Shift from Reactive Defense to Proactive Uncertainty Janani, Kush Cryptography and Security Cybersecurity often hinges on unpredictability, with a system's defenses being strongest when sensitive values and behaviors cannot be anticipated by attackers. This paper explores the concept of entropy injection-deliberately infusing randomness into security mechanisms to increase unpredictability and enhance system security. We examine the theoretical foundations of entropy-based security, analyze real-world implementations including Address Space Layout Randomization (ASLR) and Moving Target Defense (MTD) frameworks, evaluate practical challenges in implementation, and compare entropy-based approaches with traditional security methods. Our methodology includes a systematic analysis of entropy's role across various security domains, from cryptographic operations to system-level defenses. Results demonstrate that entropy injection can significantly reduce attack probability, with some implementations showing more than 90% reduction with minimal performance impact. The discussion highlights the trade-offs between security benefits and operational complexity, while identifying future directions for entropy-enhanced security, including integration with artificial intelligence and quantum randomness sources. We conclude that entropy injection represents a paradigm shift from reactive defense to proactive uncertainty management, offering a strategic approach that can fundamentally alter the balance between attackers and defenders in cybersecurity. |
| title | Cybersecurity through Entropy Injection: A Paradigm Shift from Reactive Defense to Proactive Uncertainty |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2504.11661 |