| Shekhar_CV.pdf |
uploads/Shekhar_CV.pdf |
Shekhar Yadav is an Associate Software Developer at Opensense Labs in Delhi, where he has architected a multi-tenant SaaS backend using Node.js and PostgreSQL, designed a Failure Mode and Effects Analysis (FMEA) platform, and led the backend redesign of a Site Audit SaaS. He holds a Bachelor's degree in Computer Science from Chandigarh University, with a GPA of 7.64/10.0, and has developed various projects, including a voice communication platform and a movie showcase interface. Shekhar is proficient in multiple programming languages and frameworks, has completed over 800 problems on Leetcode, and has received several certifications in C++, Data Structures, and OOPs. |
2026-04-20 09:01 |
| Research_Paper_6.pdf |
uploads/Research_Paper_6.pdf |
The document introduces the Adaptive Self-Evolving Rule Engine (ASER), a novel Intrusion Detection System (IDS) designed to address the limitations of traditional rule-based systems that rely on static thresholds. ASER employs a feedback-driven dynamic thresholding approach, continuously recalibrating detection thresholds based on statistical profiling of network traffic and analyst feedback. This system achieves a high Detection Rate of 94.7% and a low False Positive Rate of 3.1%, significantly outperforming static-threshold systems. The architecture includes modules for behavior profiling, dynamic threshold generation, and a feedback loop mechanism, making it interpretable and deployable without extensive computational resources. Overall, ASER represents a practical solution for adaptive network intrusion detection, enhancing security against evolving cyber threats. |
2026-04-20 08:52 |