
    Given a count of suspicious transaction patterns (n), calculate the cumulative fraud risk score by summing the squared values of the first n even-numbered pattern identifiers. Each even-numbered pattern represents a paired transaction sequence, and squaring these patterns amplifies their significance in the fraud detection model.
    

    
def square_Sum(n):
    """
    Given a count of suspicious transaction patterns (n), calculate the cumulative fraud risk score by summing the squared values of the first n even-numbered pattern identifiers. Each even-numbered pattern represents a paired transaction sequence, and squaring these patterns amplifies their significance in the fraud detection model.
    

    """
def square_Sum(n):
    """
    Given a count of suspicious transaction patterns (n), calculate the cumulative fraud risk score by summing the squared values of the first n even-numbered pattern identifiers. Each even-numbered pattern represents a paired transaction sequence, and squaring these patterns amplifies their significance in the fraud detection model.
    

    """
    return int(2 * n * (n + 1) * (2 * n + 1) / 3)