Abstract

a dataset with 50,000 records simulating a Sybil attack scenario. Here's the plan for each record in the dataset:

ID: A unique sequential number.
Timestamp: Randomized date and time.
User_ID: Randomly assigned, with a pattern to simulate normal and Sybil identities.
Action_Type: Randomly chosen from a predefined list of actions like login, transaction, comment, etc.
Is_Sybil: Randomly assigned with a bias towards normal interactions but with a significant portion flagged as Sybil actions to simulate an attack.
IP_Address: Randomly generated, with Sybil actions often sharing IPs to reflect the nature of the attack.

Instructions:

The dataset is csv file

Comments

Researchers doing research on Sybil Attack can get benefit from this dataset.

Submitted by Muhammad Zunnur... on Tue, 04/16/2024 - 01:43

I would be glad to use this dataset for my research, as I believe it will significantly contribute to my study on sybil attack. The dataset’s relevance and quality will help in conducting a thorough analysis and deriving meaningful insights.

Please let me know if there are any specific terms or conditions for its use. I appreciate your support and look forward to your response.

Best regards,

Submitted by Shafi'i Abdulhamid on Sun, 02/09/2025 - 08:55

Dataset Files

Sybil_Attack_Simulation_Dataset.csv (2.73 MB)

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Sybil Attack Simulation Dataset

Abstract

Comments

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