Abstract:

Modern communication systems use wireless technology, but their sophistication makes them vulnerable to code alteration that poses security risks. The propagation of hidden dangers requires robust detection and prevention measures. Existing methods often use runtime behavior analysis, which may miss hazardous code that behaves normally. Limited dynamic analysis may also make it hard to detect hidden or entrenched hostile sections. The paper propose a new framework of Detect Malicious using Static Code Analysis (DM-SCA) to solve these gaps. This technique employs static code analysis to inspect source code and binaries without executing them, enabling early and accurate detection of malicious code. DM-SCA evaluates data flow, control flow, and code structures for abnormalities, backdoors, and hidden logic that may indicate security vulnerabilities. Wireless technology security is improved by proactive threat identification during development and integration. It carefully coordinates with wireless firmware updates and secure software development life cycles to provide full coverage without performance overhead. In experiments, DM-SCA outperforms traditional approaches in detecting hidden and dormant dangerous code. It improves analysis speed, accuracy, and applicability across numerous wireless protocols and platforms, making wireless systems safer and more dependable.