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https://github.com/pradip-data/power-bi-cyber-crime-dashboard

This interactive Power BI dashboard provides a comprehensive analysis of cyber crime trends across India. It helps identify key patterns, high-risk areas, financial impacts, and the most common types of cyber attacks.
https://github.com/pradip-data/power-bi-cyber-crime-dashboard

anomaly-detection crime-trends cyber-crime-overview data-visualization incident-reports real-time-monitoring

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This interactive Power BI dashboard provides a comprehensive analysis of cyber crime trends across India. It helps identify key patterns, high-risk areas, financial impacts, and the most common types of cyber attacks.

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README 

        
# 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.  



---



### 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.  



---



### 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.  



---



### 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.  



---



### 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.  



---



### 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.  



---



### 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/