Suspected Software-Code Restoration Using a Dictionary Led System

The recent increase of devices connected to the Internet and the introduction of new paradigms; Internet of Things (IoT) and Cloud computing, exposes the Internet to sever security risks, especially malicious alteration of the application software code or utilizing malfunction codes to attack the system. Such an attack can change the behavior and the outcome of the system. This paper suggests a system that identifies unsecured software codes and fixes them to ensure risk safe codes. To execute the proposed system in a secured development and deployment environment, protected from disclosure or modification of the code, we propose using the Intel Software Guard Extensions (SGX) environment. Using a list of predefined rules, the system looks for suspicious codes and replaces them with safe codes associated with the rule.