Adnan Sami Bhuiyan

Cybersecurity Researcher & AI Enthusiast

Bridging the gap between cybersecurity and artificial intelligence to build safer digital ecosystems.

About Me

Hello! I'm Adnan Sami Bhuiyan, a passionate cybersecurity researcher with a deep interest in artificial intelligence and its applications in security systems. With over 5 years of experience in the field, I specialize in identifying vulnerabilities, developing secure systems, and leveraging AI to enhance threat detection and response mechanisms. My work focuses on the intersection of cybersecurity and machine learning, where I develop innovative solutions to combat evolving digital threats in an increasingly connected world.

Location

Dhaka, Bangladesh

Education

BSc in Computer Science

Experience

5+ Years

Profile Image

Interactive Terminal

adnan@cybersec:~
adnan@cybersec:~$
adnan@cybersec:~$

Global Cyber Attack Visualization

Cyber Attack Dashboard

Active Attacks

0

Attack Types

5

Countries

0

Threat Level

HIGH

0 attacks detected

Attack Types

DDoS Attacks
Phishing
Ransomware
Data Breaches
Malware

Most Targeted

  1. United States
  2. China
  3. United Kingdom
  4. Germany
  5. India

Recent Activity

Large-scale DDoS attack from Russia to Ukraine
Phishing campaign targeting US banks
New ransomware variant detected in Germany

How This Visualization Works

This 3D globe displays simulated cyber attack data in real-time, showing attack vectors between countries. Each colored line represents a different type of cyber attack:

  • Red: DDoS attacks (high volume traffic to overwhelm systems)
  • Blue: Phishing attempts (fraudulent attempts to obtain sensitive information)
  • Green: Ransomware (malicious software that encrypts files for ransom)
  • Yellow: Data breaches (unauthorized access to confidential data)
  • Purple: Malware infections (viruses, worms, trojans, etc.)

Real-World Cyber Threat Analysis

This visualization is based on aggregated cyber threat intelligence from various sources. The data represents common attack patterns observed in recent years:

Geopolitical Cyber Attacks 32% increase
Financial Sector Targeting 28% of attacks
Ransomware Attacks 45% increase YoY

Technical Skills

Cybersecurity

Penetration Testing Vulnerability Assessment Network Security Ethical Hacking Digital Forensics Cryptography SIEM Solutions Incident Response

Artificial Intelligence

Machine Learning Deep Learning Neural Networks NLP Computer Vision TensorFlow PyTorch AI Security

Programming

Python 90%
JavaScript 75%
C/C++ 80%
Bash 70%

Tools

Kali Linux Wireshark Metasploit Burp Suite SQLMap Git AWS Docker

Certifications

  • Certified Ethical Hacker (CEH)
  • OSCP (Offensive Security Certified Professional)
  • CISSP (Certified Information Systems Security Professional)
  • TensorFlow Developer Certificate
  • AWS Certified Security - Specialty

Professional Experience

Security Researcher

Hackerone

2021 - Present
  • Researching security flaw in different infrastructure of website and working as security analyst in Hackerone

Research Assistant

University Of Dhaka

2022 - 2024
  • Collaborated with faculty or industry experts on cybersecurity projects, fostering practicalskills in problemsolving and critical thinking within the field.

Student Ambassador

Intel

2024 - Present
  • Participating in internship program of Intel.And Hosting different event in behalf of Intel

Security Researcher

Flysec Team

2021 - Present
  • Researching security flaw in different infrastructure of website and working as security analyst in FlySec
  • Team.

Featured Projects

BlockDef:A Secured Blockchain Based Web-Client for Defence File Management

A Blockchain based Secured WebClient For Defence file Management

Vulnerability Assessment Network Security Metasploit
View Project

Quantum Neural Networks (QNNs) for Genomic Pattern Detection in Personalized Medicine

This project aims to develop a machine learning pipeline enhanced by QNN models to detect disease patterns by analyzing Single Nucleotide Polymorphisms (SNPs) — the most common type of genetic variation among individuals. While classical neural networks often falter with such complex datasets, QNNs excel at extracting meaningful insights from noisy, high-dimensional data.

Machine Learning Deep Learning AI Security
View Project

Get In Touch

Let's Talk About Security & AI

Whether you're interested in discussing cybersecurity research, AI applications in security, or potential collaboration opportunities, I'd love to hear from you. Feel free to reach out through the form or directly via email.

Location

Dhaka, Bangladesh

Availability

Available for consulting and research collaborations