██╗ ██╗ █████╗ ███╗ ██╗███╗ ██╗ █████╗ ███╗ ██╗
██║ ██╔╝██╔══██╗████╗ ██║████╗ ██║██╔══██╗████╗ ██║
█████╔╝ ███████║██╔██╗ ██║██╔██╗ ██║███████║██╔██╗ ██║
██╔═██╗ ██╔══██║██║╚██╗██║██║╚██╗██║██╔══██║██║╚██╗██║
██║ ██╗██║ ██║██║ ╚████║██║ ╚████║██║ ██║██║ ╚████║
╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═══╝╚═╝ ╚═╝╚═╝ ╚═══╝
|
I'm Kannan, a Cyber Security Student based in India, moving toward a future as a Cyber Security Specialist, Threat Intelligence Researcher, and AI Security Engineer. My work centers on building intelligent, layered cyber defence systems — combining offensive security fundamentals, applied machine learning, and structured threat intelligence research. My flagship research initiative, TRIVYON, is the core expression of this direction: a multi-layer AI defence architecture designed to observe, analyse, predict, and defend. Alongside TRIVYON, I work on LONGWEI IDS, a machine-learning intrusion detection system, and ACSIP, an interdisciplinary IoT + AI research platform for cricket surface intelligence. I hold three published Indian Patent Applications, spanning IoT road safety, AI-driven cricket surface intelligence, and AI-based cinematic copyright verification. |
root@kannan:~$ whoami
{
"identity" : "KANNAN",
"role" : "Cyber Security Student",
"location" : "India",
"goals" : ["Cyber Security Specialist",
"Threat Intelligence Researcher",
"AI Security Engineer"],
"flagship" : "TRIVYON",
"patents" : 3,
"status" : "ACTIVE"
}
root@kannan:~$ cat mission.log
> Designing intelligent cyber defence systems capable of
> observing, analysing, predicting and defending against
> modern cyber threats.
root@kannan:~$ _
TRIVYON is a layered AI cyber-defence architecture. At its core sit four internal intelligence layers, followed by a five-stage threat pipeline that carries the system from raw signal collection through to a final decision.
┌───────────────────────┐
│ TRIVYON CORE │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ MAAYON │
│ Adaptive Intelligence │
│ Layer │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ SMRITI │
│ Knowledge Memory Layer │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ ANVESHANAM │
│ Research & Investigation │
│ Layer │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ KOTRAVAI │
│ Autonomous Cyber Defence │
│ Layer │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ ARYUKEN │
│ Threat Collection │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ RENZAI │
│ Threat Processing │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ SHIVORA │
│ Threat Correlation │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ TAKSHIRA │
│ Analytics │
└────────────┬────────────┘
│
┌────────────▼────────────┐
│ SEYON │
│ Decision Engine │
└───────────────────────────┘
🔴 MAAYON — Adaptive Intelligence Layer
Internal TRIVYON layer responsible for adaptive intelligence — allowing the system's behaviour to adjust as new threat patterns and conditions emerge.
🔴 SMRITI — Knowledge Memory Layer
Internal TRIVYON layer that retains and structures accumulated knowledge, giving the system a persistent memory of prior observations and decisions.
🔴 ANVESHANAM — Research & Investigation Layer
Internal TRIVYON layer dedicated to deeper research and investigation into emerging threats, feeding refined understanding back into the system.
🔴 KOTRAVAI — Autonomous Cyber Defence Layer
Internal TRIVYON layer responsible for autonomous defensive action, turning intelligence from the layers above into active protection.
🔴 ARYUKEN — Threat Collection
Pipeline stage responsible for collecting raw threat data and telemetry — the entry point of the TRIVYON pipeline.
🔴 RENZAI — Threat Processing
Pipeline stage that processes and normalises the data collected by ARYUKEN, preparing it for correlation.
🔴 SHIVORA — Threat Correlation
Pipeline stage that correlates processed data to surface patterns and connections across signals.
🔴 TAKSHIRA — Analytics
Pipeline stage that runs analytics over correlated threat data to generate actionable insight.
🔴 SEYON — Decision Engine
Final pipeline stage — the decision engine that converts analytics into a defence decision, completing the TRIVYON loop.
LONGWEI IDS is a Machine Learning Intrusion Detection System built around network traffic analysis.
- 🌲 Model: Random Forest classifier
- 📡 Domain: Network Traffic Analysis
- 🐍 Stack: Python, Scikit-Learn
- 🔎 Explainability: Uses Explainable AI (XAI) techniques to make detections interpretable
- 📡 IoT sensor networks for ground and environmental data
- 👁️ Computer vision for pitch and surface analysis
- 🌦️ Weather prediction integration
- 📈 Pitch analytics
- 🤖 AI core tying sensor, vision, and weather data together
