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:

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