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class CybersecurityResearcher:
def __init__(self):
self.name = "MrN3O"
self.role = "Cybersecurity Researcher & ML Enthusiast"
self.expertise = [
"Machine Learning for Cybersecurity",
"IoT Security & Botnet Detection",
"Android Malware Analysis",
"Digital Forensics & Incident Response",
"Network Security & Threat Intelligence"
]
self.current_focus = "ML-based Botnet Detection & IoT Security"
self.motto = "Security is not a product, but a process!"
self.fun_fact = "I believe the best defense is a well-trained AI model — and coffee helps too! ☕"
self.collaboration_cta = "Open an issue · Raise a PR · Drop an email — Let's build safer systems together!"
def say_hi(self):
print("Thanks for visiting! Let's connect and collaborate on cybersecurity research!")
def share_fun_fact(self):
print(f"⚡ Fun Fact: {self.fun_fact}")
def call_to_collaborate(self):
print(f"💡 Want to collaborate? {self.collaboration_cta}")
researcher = CybersecurityResearcher()
researcher.say_hi()
researcher.share_fun_fact()
researcher.call_to_collaborate()My research contributions span Cybersecurity, Machine Learning, IoT Security, and Digital Forensics.
- Prediction of Terrorist Attacks over the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms
DatasetCode - A Comparative Analysis of Machine Learning Prediction Algorithms for Detecting IoT Botnet Activities
DatasetCode - Android Based Malware Detection Technique Using Machine Learning Algorithms
DatasetCode - Machine Learning Methodologies for Predicting Fake News on Social Media X: A Comparative Investigation over TruthSeeker Dataset
DatasetCode - Security Issues in IoT Applications
DatasetCode - Internet of Vehicle (IoV) Cyber Attack Detection using Machine Learning Techniques
DatasetCode - Android Malware Defense: Leveraging Machine Learning Models
DatasetCode - IoT devices attack vectors and its AI/ML solutions
DatasetCode - Forensic Investigation of IoT Smart Devices: Identifying Security and Privacy Issues in Amazon Alexa (Under review)
DatasetCode - Decrypting Digital Secrets: Browser Password Recovery from RAM Dumps in compliance with ISO/IEC 27037
DatasetCode - Machine Learning-Based Methodologies for Internet of Things (IoT) Botnet Detection (Under review)
DatasetCode - ML-BoTDAM: Machine Learning Driven Botnet Detection and Alerting Mechanism
DatasetCode - HML-BoTDAM: Hybrid Machine Learning Driven Botnet Detection and Alerting Mechanism (Under review)
DatasetCode - Inside IoT Botnet Ecosystem: A Review of its Evolution, Architecture, & Security Lifecycle
DatasetCode
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Total Publications |
Publishers |
Research Domains |
🎯 Primary Focus Areas
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🛡️ IoT Security & Botnet Detection |
🔍 Digital Forensics & Incident Response |
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💬 Ask Me About
Cybersecurity · Machine Learning · IoT Security · Malware Analysis · Digital Forensics
In cybersecurity, the adversary only needs to be right once, but defenders must be right every time. With machine learning, we're leveling the playing field.
⭐️ From MrN3O | Last Updated: November 2025 | Built with 💚 and Matrix vibes..!