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Cyber attack evaluation dataset for deep packet inspection and analysis.

Shishir Kumar Shandilya1, Chirag Ganguli1, Ivan Izonin2

  • 1Vellore Institute of Technology, VIT Bhopal University, Bhopal, India.

Data in Brief
|December 8, 2022
PubMed
Summary
This summary is machine-generated.

This dataset provides real-time network data from cyber attacks, highlighting the critical need for system updates and patches. It demonstrates how outdated software and unprotected ports are vulnerable to various exploitation tactics.

Keywords:
Attack techniquesCyber attacksDefense mechanismsEvaluation dataset

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Area of Science:

  • Cybersecurity
  • Network Security
  • Data Science

Background:

  • Effective defense mechanisms require comprehensive, real-time network data reflecting diverse attack scenarios.
  • Older software versions and unprotected ports present significant security vulnerabilities.

Purpose of the Study:

  • To present a dataset capturing network traffic during multiple cyber attacks.
  • To enable experimentation and analysis of defense mechanism implementation challenges on a large scale.

Main Methods:

  • Network traffic was captured using Wireshark and tcpdump on configured virtual machines.
  • A Docker Bridge network simulated ten computers on VLAN1, exploiting each other and an Apache server on VLAN2.

Main Results:

  • The dataset includes various attack types: DDoS, SQL Injection, Account Takeover, SSH/FTP exploitation, DNS/ARP Spoofing, Nmap scanning, brute-force attacks, malware, spoofing, and Man-in-the-Middle.
  • Attacks exploited older software versions more effectively than updated ones, emphasizing the importance of patching.
  • Cross-VLAN communication and isolation were demonstrated and exploited.

Conclusions:

  • The dataset underscores the critical importance of regular system updates and patching against evolving cyber threats.
  • Vulnerabilities in older software and unprotected services are prime targets for sophisticated attack tactics.