The study details the weaknesses in Cyber-Physical Systems toward attacks such as Replay Attacks, False Data Injection attacks, and Denial-of-Service attacks which severely affect CPS in terms of its performance as well as its security. Therefore, the motive behind this work is to design simulations that have analyzed the implications these attacks on CPS behavior on their stability control precision, as well as total system resilience. The research would utilize MATLAB-based simulations for the modeling of the CPS framework, and different attacks that would implicate both physical and cyber layers of the system. Defense mechanisms include anomaly detection using digital twins, attack mitigation strategies, as well as some resilience metrics to be discussed further in the research. The results of the experiments are expected to demonstrate the disruptive character of each type of attack, on severe degradation in the system performance during periods of attacks, mainly in terms of latency and control signals manipulation. The results also show that the proposed method is promising for real-time identification and mitigation of attacks using a digital twin. This paper contributes to new insights on the security challenges of CPS and further helps to contribute to the effort to improve the resilience of such systems against sophisticated cyber threats in critical sectors, including industrial automation, health care, and transportation.