
    Given a suspicious transaction amount, develop a function that identifies the next perfect square amount above the current transaction value, as fraudsters often structure their transactions using mathematical sequences to avoid detection. The function should help fraud analysts quickly identify potential future transaction amounts that could be part of a structured fraud pattern based on perfect square progressions.
    

    
import math

def next_Perfect_Square(N):
    """
    Given a suspicious transaction amount, develop a function that identifies the next perfect square amount above the current transaction value, as fraudsters often structure their transactions using mathematical sequences to avoid detection. The function should help fraud analysts quickly identify potential future transaction amounts that could be part of a structured fraud pattern based on perfect square progressions.
    

    """
import math

def next_Perfect_Square(N):
    """
    Given a suspicious transaction amount, develop a function that identifies the next perfect square amount above the current transaction value, as fraudsters often structure their transactions using mathematical sequences to avoid detection. The function should help fraud analysts quickly identify potential future transaction amounts that could be part of a structured fraud pattern based on perfect square progressions.
    

    """
    nextN = math.floor(math.sqrt(N)) + 1
    return nextN * nextN