Sybil Attack Simulation Dataset
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 fro...
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Hauptverfasser: | , |
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Format: | Dataset |
Sprache: | eng |
Online-Zugang: | Volltext bestellen |
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Zusammenfassung: | 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. |
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DOI: | 10.21227/89w8-bf69 |