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Articles

Vol. 4 No. 1 (2024): Cybersecurity and Network Defense Research (CNDR)

Zero-Day Exploit Detection: Analyzing Machine Learning Approaches for Detecting Zero-Day Exploits and Previously Unseen Vulnerabilities to Enhance Proactive Threat Defense

Published
15-01-2024

Abstract

Zero-day exploits pose a significant threat to cybersecurity by exploiting vulnerabilities that are unknown to the software vendor and, therefore, lack a patch. Detecting these exploits before they can be weaponized is critical for proactive threat defense. This paper reviews machine learning approaches for zero-day exploit detection, focusing on their effectiveness, efficiency, and applicability. Various algorithms and techniques are discussed, highlighting their strengths and limitations. The paper also explores the challenges and future directions in this field to enhance cybersecurity defense mechanisms.

References

  1. Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
  2. Ding, Liang, et al. "Understanding and improving lexical choice in non-autoregressive translation." arXiv preprint arXiv:2012.14583 (2020).
  3. Vyas, Bhuman. "Java in Action: AI for Fraud Detection and Prevention." International Journal of Scientific Research in Computer Science, Engineering and Information Technology (2023): 58-69.
  4. Reddy, Surendranadha Reddy Byrapu, and Surendranadha Reddy. "Large Scale Data Influences Based on Financial Landscape Using Big Data." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3862-3870.
  5. Singh, Amarjeet, et al. "Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system." 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT). IEEE, 2022.
  6. Ding, Liang, Di Wu, and Dacheng Tao. "Improving neural machine translation by bidirectional training." arXiv preprint arXiv:2109.07780 (2021).
  7. Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).
  8. Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
  9. Reddy, S. R. B., & Reddy, S. (2023). Large Scale Data Influences Based on Financial Landscape Using Big Data. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3862-3870.
  10. Vyas, Bhuman. "Security Challenges and Solutions in Java Application Development." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 12.2 (2023): 268-275.
  11. Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
  12. Ding, Liang, Longyue Wang, and Dacheng Tao. "Self-attention with cross-lingual position representation." arXiv preprint arXiv:2004.13310 (2020).
  13. Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.
  14. Vyas, Bhuman. "Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.1 (2021): 59-62.
  15. Raparthi, Mohan, et al. "AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles." European Economic Letters (EEL) 12.2 (2022): 172-179.
  16. Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.
  17. Ding, Liang, et al. "Rejuvenating low-frequency words: Making the most of parallel data in non-autoregressive translation." arXiv preprint arXiv:2106.00903 (2021).
  18. Reddy, Byrapu, and Surendranadha Reddy. "Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3886-3893.
  19. Vyas, Bhuman. "Explainable AI: Assessing Methods to Make AI Systems More Transparent and Interpretable." International Journal of New Media Studies: International Peer Reviewed Scholarly Indexed Journal 10.1 (2023): 236-242.
  20. Singh, Amarjeet, et al. "Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system." 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD). IEEE, 2022.
  21. Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
  22. Reddy, B., & Reddy, S. (2023). Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3886-3893.
  23. Ding, Liang, et al. "Context-aware cross-attention for non-autoregressive translation." arXiv preprint arXiv:2011.00770 (2020).
  24. Vyas, Bhuman. "Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach." International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068 1.1 (2022): 66-70.
  25. Rajendran, Rajashree Manjulalayam. "Scalability and Distributed Computing in NET for Large-Scale AI Workloads." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.2 (2021): 136-141.
  26. Pargaonkar, Shravan. "Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development." Journal of Science & Technology 2.1 (2021): 78-84.
  27. Vyas, Bhuman. "Java-Powered AI: Implementing Intelligent Systems with Code." Journal of Science & Technology 4.6 (2023): 1-12.
  28. Nalluri, Mounika, et al. "Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2458-2468.
  29. Vyas, Bhuman. "Ethical Implications of Generative AI in Art and the Media." International Journal for Multidisciplinary Research (IJFMR), E-ISSN: 2582-2160.
  30. Ding, Liang, et al. "Redistributing low-frequency words: Making the most of monolingual data in non-autoregressive translation." Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
  31. Rajendran, Rajashree Manjulalayam. "Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 11.1 (2022): 292-297.
  32. Nalluri, M., Reddy, S. R. B., Rongali, A. S., & Polireddi, N. S. A. (2023). Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2458-2468.
  33. Pargaonkar, Shravan. "Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality." Journal of Science & Technology 2.1 (2021): 85-94.
  34. Nalluri, Mounika, and Surendranadha Reddy Byrapu Reddy. "babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing." Tuijin Jishu/Journal of Propulsion Technology 44.5: 2446-2457.
  35. Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
  36. Nalluri, M., & Reddy, S. R. B. babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2446-2457.
  37. Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, November). Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system. In 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) (pp. 1-4). IEEE.
  38. Vyas, Bhuman, and Rajashree Manjulalayam Rajendran. "Generative Adversarial Networks for Anomaly Detection in Medical Images." International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068 2.4 (2023): 52-58.
  39. Raparthi, M., Dodda, S. B., & Maruthi, S. (2020). Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks. European Economic Letters (EEL), 10(1).
  40. Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
  41. Nalluri, Mounika, et al. "Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2505-2513.
  42. Raparthi, M., Dodda, S. B., & Maruthi, S. (2021). AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health. European Economic Letters (EEL), 11(1).
  43. Vyas, B. (2021). Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(1), 59-62.
  44. Rajendran, R. M. (2021). Scalability and Distributed Computing in NET for Large-Scale AI Workloads. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 136-141.
  45. Nalluri, M., Reddy, S. R. B., Pulimamidi, R., & Buddha, G. P. (2023). Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2505-2513.
  46. Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, August). Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system. In 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD) (pp. 308-312). IEEE.
  47. Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
  48. Vyas, B. (2022). Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 1(1), 66-70.
  49. Pargaonkar, S. (2021). Quality and Metrics in Software Quality Engineering. Journal of Science & Technology, 2(1), 62-69.
  50. Byrapu, Surendranadha Reddy. "Big Data Analysis in Finance Management." JOURNAL OF ALGEBRAIC STATISTICS 14.1 (2023): 142-149.
  51. Rajendran, Rajashree Manjulalayam. "Code-driven Cognitive Enhancement: Customization and Extension of Azure Cognitive Services in. NET." Journal of Science & Technology 4.6 (2023): 45-54.
  52. Vyas, B. Ethical Implications of Generative AI in Art and the Media. International Journal for Multidisciplinary Research (IJFMR), E-ISSN, 2582-2160.
  53. Rajendran, R. M. (2022). Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 292-297.
  54. Pargaonkar, S. (2021). The Crucial Role of Inspection in Software Quality Assurance. Journal of Science & Technology, 2(1), 70-77.
  55. Raparthi, Mohan. "Predictive Maintenance in Manufacturing: Deep Learning for Fault Detection in Mechanical Systems." Dandao Xuebao/Journal of Ballistics 35: 59-66.
  56. Byrapu, S. R. (2023). Big Data Analysis in Finance Management. JOURNAL OF ALGEBRAIC STATISTICS, 14(1), 142-149.
  57. Pargaonkar, S. (2021). Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development. Journal of Science & Technology, 2(1), 78-84.
  58. Rajendran, Rajashree Manjulalayam. "Importance Of Using Generative AI In Education: Dawn of a New Era." Journal of Science & Technology 4.6 (2023): 35-44.
  59. Raparthi, Mohan. "Biomedical Text Mining for Drug Discovery Using Natural Language Processing and Deep Learning." Dandao Xuebao/Journal of Ballistics 35.
  60. Raparthi, M., Maruthi, S., Dodda, S. B., & Reddy, S. R. B. (2022). AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles. European Economic Letters (EEL), 12(2), 172-179.
  61. Pargaonkar, S. (2021). Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality. Journal of Science & Technology, 2(1), 85-94.
  62. Raparthy, Mohan, and Babu Dodda. "Predictive Maintenance in IoT Devices Using Time Series Analysis and Deep Learning." Dandao Xuebao/Journal of Ballistics 35: 01-10.
  63. Alami, Rachid, Hamzah Elrehail, and Amro Alzghoul. "Reducing cognitive dissonance in health care: Design of a new Positive psychology intervention tool to regulate professional stress among nurses." 2022 International Conference on Cyber Resilience (ICCR). IEEE, 2022.
  64. Alami, Rachid. "Paradoxes and cultural challenges: case of Moroccan manager returnees and comparison with Chinese returnees." International Journal of Management Development 1.3 (2016): 215-228.
  65. Alami, Rachid. "Innovation challenges: Paradoxes and opportunities in China." The ISM Journal of International Business 1.1 (2010): 1G.
  66. Aroussi, Rachid Alami, et al. "Women Leadership during Crisis: How the COVID-19 Pandemic Revealed Leadership Effectiveness of Women Leaders in the UAE." Migration Letters 21.3 (2024): 100-120.
  67. Bodimani, Meghasai. "AI and Software Engineering: Rapid Process Improvement through Advanced Techniques." Journal of Science & Technology 2.1 (2021): 95-119.
  68. Bodimani, Meghasai. "Assessing The Impact of Transparent AI Systems in Enhancing User Trust and Privacy." Journal of Science & Technology 5.1 (2024): 50-67.