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Cyberattack Trends Analysis Dataset
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About
This dataset tracks global cybersecurity incidents, attack vectors, and threats from 2015 to 2024 [1]. It is designed for in-depth threat intelligence analysis, forecasting cybersecurity trends, and developing machine learning models to enhance global digital security measures [1]. The data provides a detailed view of cyberattacks, including types of malware, industries targeted, and countries affected [1].
Columns
- Country: The nation where the cyberattack took place [2].
- Year: The calendar year of the incident [2].
- Threat Type: The specific type of cybersecurity threat encountered (e.g., Malware, Distributed Denial of Service (DDoS)) [2].
- Attack Vector: The method used for the attack (e.g., Phishing, SQL Injection) [2].
- Affected Industry: The sector or industry that was targeted (e.g., Finance, Healthcare, IT, Banking) [2, 3].
- Data Breached (GB): The estimated volume of data compromised in gigabytes [2].
- Financial Impact ($M): The estimated financial loss resulting from the incident, presented in millions of US dollars [2, 3].
- Severity Level: The classified level of impact of the attack (e.g., Low, Medium, High, Critical) [2].
- Response Time (Hours): The duration, in hours, taken to mitigate the attack [2].
- Mitigation Strategy: The countermeasures or actions taken to address the cyber incident [2].
- Number of Affected Users: The count of individuals impacted by the attack [4].
- Attack Source: The origin of the attack (e.g., Nation-State, Hacktivist, Unknown) [5].
- Security Vulnerability Type: The specific type of vulnerability exploited (e.g., Zero-Day, Social Engineering, SQL Injection) [5].
- Defense Mechanism Used: The cybersecurity defence strategy applied during the incident (e.g., Firewall, Intrusion Detection System (IDS), Antivirus, VPN) [6].
- Incident Resolution Time (in Hours): The total time, in hours, required to fully resolve the incident [6].
Distribution
The dataset is provided in CSV format [7, 8]. It contains 3,000 records across various attributes [3-6, 8, 9]. The file size is approximately 251.28 kB [8].
Usage
This dataset is ideal for:
- Threat intelligence analysis: Gaining insights into evolving cyber threats [1].
- Cybersecurity trend forecasting: Predicting future patterns and shifts in cyberattack landscapes [1].
- Machine learning model development: Building and training models to enhance global digital security [1].
- Academic research: Studying the dynamics of cyber incidents over time.
- Policy making: Informing decisions related to cybersecurity regulations and defence strategies.
Coverage
The dataset covers global cybersecurity threats from 2015 to 2024 [1]. It includes incidents across a variety of countries and industries, offering a broad geographical and sectoral scope [3, 8]. Data points are available for each year within the specified range [9].
License
CC0: Public Domain
Who Can Use It
- Cybersecurity Analysts: For understanding incident patterns and developing defence strategies.
- Data Scientists: For building predictive models and statistical analyses related to cyberattacks.
- Researchers: For academic studies on digital security, threat evolution, and incident response.
- IT Security Professionals: For informing operational security practices and risk assessment.
- Policy Makers: For developing effective cybersecurity policies and regulations.
Dataset Name Suggestions
- Global Cyber Incident Log 2015-2024
- Worldwide Digital Threat Data
- Cyberattack Trends Analysis Dataset
- International Cybersecurity Incidents Database
- Security Breach Statistics (2015-2024)
Attributes
Original Data Source: Cyberattack Trends Analysis Dataset
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