Power BI Cyber Crime Dashboard

📌 Project Overview

The Power BI Cyber Crime Dashboard is an interactive data visualization tool that provides insights into cybercrime trends in India. It helps users analyze year-wise crime patterns, state-wise impact, crime categories, financial losses, and investigative effectiveness.

📌 Data Sources

This project is based on real-world data collected from multiple authentic government sources, including:

• NCRB Report 2022 (National Crime Records Bureau)
• PIB (Press Information Bureau)
• Rajya Sabha & Lok Sabha Question-Answer Data
• RBI Reports

💡 Why This Project Matters?

• Understand cybercrime trends and their impact on different regions of India.
• Identify high-risk states & cities to improve cybersecurity measures.
• Analyze financial losses caused by cyber frauds over the years.
• Evaluate investigation effectiveness and track case resolution rates.
• Raise awareness about cybercrimes targeting women & children.

🎯 Objectives

• Understand Cybercrime Trends: Analyze the growth of cybercrime cases from 2013-2023.
• State-Wise Analysis: Identify the most affected states and cities.
• Crime Categories: Break down cybercrimes into various types (fraud, ransomware, identity theft, etc.).
• Financial Impact: Assess the economic losses due to cybercrime.
• Investigation Efficiency: Evaluate case resolution rates across states and mega cities.
• Gender & Based Crime Analysis: Focus on crimes against women and children.

📊 Key Features

• Year-wise Cybercrime Trends: Line charts showing crime progression from 2013-2023.
• Crime Type Breakdown: Pie charts/bar charts for cybercrime categories.
• Financial Loss Trends: Analyze monetary losses from cybercrime.
• Investigative Performance Metrics: Case pendency and resolution rates.

🗂 Dataset Overview

The dataset includes the following key fields:

• Year: 2013-2023
• State/City: Affected locations
• Crime Categories: Fraud, ransomware, identity theft, etc.
• Cases Registered: Total number of cases per category.
• Financial Loss: Monetary impact due to cybercrime.
• Investigation Status: Pending vs. resolved cases.
• Gender-Based Crimes: Crimes against women & children.

🛠 Tech Stack

• Power BI: Data visualization and dashboard creation.
• Power Query : ETL (Extract,Transform & Load )
• Excel/CSV/PDF: Data sources used for analysis.

📊 Power BI Dashboard Visuals

1️⃣ The Dark Side of Digital India

2️⃣ State-Wise Cyber Crime Analysis in India (2013-2023)

3️⃣ City-Wise Cyber Crime Analysis in India (2020-22)

4️⃣ Cyber Crime Categories Across States - Data-Driven Overview

5️⃣ The Cost of Cyber Crime in India - Financial Loss Analysis

6️⃣ Cyber Exploitation in India - Women & Children at Risk (2022)

7️⃣ Tracking Cyber Crime Investigation - State Wise Analysis (2022)

8️⃣ Tracking Cyber Crime Investigation - City Wise Analysis (2022)

9️⃣ Tracking Cyber Crime Investigation - Category Wise Insights (2022)

📊 Dashboard Insights & Analysis

1️⃣ Year-wise Cyber Crime Trend (2013-2023)

📌 Cybercrime cases in India have surged exponentially from 4,356 cases in 2013 to 1,128,265 cases in 2023, reflecting a 258x increase!
📌 A notable spike occurred in 2017 and post-2019, driven by increased internet penetration, digital payments, and online frauds.
📌 COVID-19 (2020-21) saw a significant rise in cyber fraud, including phishing scams, UPI fraud, and ransomware attacks.
📌 2023 recorded the highest cybercrime cases, highlighting an urgent need for stronger cybersecurity policies.

🚀 Recommendation:
✔ Strengthen cybersecurity awareness programs to prevent online fraud.
✔ Introduce stricter regulations on data security and digital transactions.

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2️⃣ State-Wise Cyber Crime Analysis (2013-2023)

📌 Top 5 most affected states in the last decade:
🏆 Uttar Pradesh (257,213 cases)
🏆 Maharashtra (163,677 cases)
🏆 Gujarat (128,773 cases)
🏆 Karnataka & Telangana (rising cases)

📌 Uttar Pradesh consistently tops cybercrime reports, showing a need for better law enforcement.
📌 Southern states like Karnataka and Telangana show a higher cybercrime density per capita.

🚀 Recommendation:
✔ Implement state-level cybercrime task forces for better control.
✔ Improve cybercrime reporting mechanisms with dedicated hotlines.

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3️⃣ City-Wise Cyber Crime Analysis (2020-2022)

📌 Highest cybercrime cases in 2022:
💻 Bangalore (IT Hub)
💰 Mumbai (Financial Capital)
🚀 Hyderabad (Tech City)
📌 Lowest cybercrime cases in 2022:
🏙️ Kochi, Kolkata, Coimbatore, Indore, Kozhikode

🚀 Recommendation:
✔ Implement AI-based fraud detection in financial institutions.
✔ Conduct cybersecurity awareness campaigns in metro cities.

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4️⃣ Cyber Crime Categories Across States (2022)

📌 Most common cybercrimes in India (2022):
🖥️ Computer-related offenses – 23,894 cases
💳 Online banking frauds – 6,491 cases
🔐 Identity theft – 5,740 cases
📲 OTP fraud – 2,910 cases
🚫 Publishing obscene material online – 2,755 cases

🚀 Recommendation:
✔ Improve banking security protocols to prevent fraud.
✔ Launch digital hygiene education programs to reduce identity theft.

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5️⃣ Financial Losses Due to Cyber Crime (2018-2025)

📌 Total financial loss due to cyber fraud (FY2018-19 to FY2024-25): ₹7.54 Thousand Crore 💸
📌 Highest loss recorded in 2023-24: ₹1.9 Thousand Crore 📈

🚀 Recommendation:
✔ Strengthen AI-driven fraud detection in banking transactions.
✔ Implement real-time alert systems for suspicious activities.

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6️⃣ Cyber Exploitation in India - Women & Children at Risk (2022)

📌 Total cybercrimes against women (2022): 14,000 cases
📌 Total cybercrimes against children (2022): 1,823 cases

🚀 Recommendation:
✔ Strict action against online harassment and deepfake creators.
✔ Educate women & children about online safety.

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7️⃣ Cyber Crime Investigation - Performance Analysis (2022)

📌 State-Wise Investigation (2022):
🔍 Total cases for investigation: 139,000 cases
✅ Solved cases: 64,000 cases
❌ Pending cases: 75,000 cases

📌 Mega City Wise Investigation (2022):
🔍 Total cases: 54,000 cases
✅ Solved cases: 24,000 cases
❌ Pending cases: 30,000 cases

🚀 Recommendation:
✔ Increase specialized cybercrime units in high-risk states.
✔ Enhance police training & forensic tools for faster resolution.

🚀 Recommendations & Future Scope

1. Stronger Cybersecurity Laws & Implementation

   • Need for stricter penalties for cybercriminals.
   • Improve cyber forensic capabilities in law enforcement.

2. Enhanced Public Awareness & Education

   • Educate users on safe online banking & OTP fraud prevention.
   • Conduct cybersecurity awareness programs in schools & colleges.

3. Faster Investigation & Case Resolution

   • Improve case-solving efficiency by deploying AI-driven crime tracking.
   • Increase the number of cybercrime police units.

4. Advanced Threat Detection

   • Implement AI/ML models for real-time fraud detection.
   • Strengthen financial institutions' cybersecurity measures.

5. Protecting Vulnerable Groups

   • Implement dedicated helplines & support systems for women & children.
   • Increase monitoring of cyberstalking, harassment, and fake profiles.

📥 Installation & Setup

1. Download the Dataset: Ensure you have the correct data files in CSV/Excel format.
2. Import Data into Power BI: Load the dataset and transform it using Power Query.
3. Create Visualizations: Use bar charts, line graphs, maps, and pie charts.
4. Publish the Dashboard: Upload to Power BI Service for online access.

🔗 Links

• 📂 Dataset: https://github.com/pradip-data/Power-BI-Cyber-Crime-Dashboard/tree/3f8139739ed003c9cf0751f4fd1130a139c00dbb/dataset_folder

• 📊 Power BI Dashboard: https://github.com/pradip-data/Power-BI-Cyber-Crime-Dashboard/blob/1bcb028ac594f90021415d4c344eff268bd93261/Cyber%20Crime%20Analysis%20Power%20BI%20Dashboard.pbix

• 🔍 GitHub Repository: https://github.com/pradip-data/Power-BI-Cyber-Crime-Dashboard/tree/main

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👨‍💻 Author

• Mangroliya Pradip
• 📧 Contact: [email protected]
• 🌐 LinkedIn: https://www.linkedin.com/in/pradipmangroliya/