dhruv@soc-lab:~$ whoami
MS Cybersecurity Engineering @ USC (May 2027).
I build detection pipelines, break LLM agents, and analyze malware.
dhruv@soc-lab:~$ cat focus.txt
→ Detection Engineering (Wazuh, Splunk, GCP Cloud Audit Logs)
→ AI/LLM Security (prompt injection, agent data exfiltration)
→ Malware Analysis (static + dynamic, published researcher)dhruv@soc-lab:~$ ls -la ~/projects/| Repo | What it does | Status |
|---|---|---|
| 🛡️ soc-home-lab | Wazuh SIEM + Sysmon ARM64 + custom MITRE ATT&CK detection rules + Python alert triage pipeline with VirusTotal enrichment | 🟢 operational |
| ☁️ cloud-threat-detection-lab | GCP IAM privilege escalation simulation + Python detection pipeline + Splunk HEC integration + SPL detection rules with scheduled alerting | 🟢 operational |
| 🤖 agent-injection-lab | Indirect prompt injection and data exfiltration attacks on LLM-powered agents, with mitigations and eval harness | 🟢 operational |
| 🧬 Malware Detection CNN-LSTM | Hybrid CNN-LSTM model for Windows PE malware classification, 98.74% accuracy on Malimg dataset (published) | ✅ shipped |
| 🔐 Quantum-Resistant Payment System | FastAPI payments backend with Dilithium2 post-quantum signatures, ML fraud detection, and QKD simulation (published) | ✅ shipped |
dhruv@soc-lab:~$ cat tools.txtDetection & SIEM
Cloud & Infrastructure
Malware Analysis & Forensics
Languages
dhruv@soc-lab:~$ cat publications.txt- Malware Classification using Deep Learning — CNN, LSTM, MobileNet on Malimg dataset (9,339 samples, 25 families). MobileNet achieved 98.74% accuracy. IRJET, Oct 2024
- Advancing Security in Digital Transactions using Quantum Cryptography — QKD-inspired cryptographic framework for payments, 90%+ simulated reduction in key-interception risk. JISEM, Apr 2025
- Predictive Maintenance for Industrial Equipment using ML — 98.5% accuracy failure prediction on sensor data. IJARSCT, Aug 2024
No alerts triaged were harmed in the making of this profile.