TS 8535 Week 6 DQ

TS 8535 Week 6 DQ Student name Capella University TS-8535 Professor Name Submission Date  To evaluate possible risks in mobile technology, a mix of technical assessment, behavioral examination, and compliance with the cybersecurity models is needed. The initial one is to determine the vulnerabilities in the mobile ecosystem, which can be the operating system, applications, and network connections. STRID threat modeling, which addresses the threat of spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege, is a technique that allows professionals to take a systematic approach to identifying security risks in mobile software.  The concept of end-user awareness is central because, to date, phishing links and malicious downloads, as well as the use of unsafe public Wi-Fi, are the leading causes of mobile breaches. The literature in cybersecurity offers models, theories, and frameworks that can be used to structure the enhancement of the security of mobile communications. Such a concept as Zero Trust Model works on the idea of never trust, always verify, where it is imposed to perform identity checks and constant monitoring of all access points.  On the same note, the Mobile Application Security Verification Standard (MASVS) provides an exhaustive list of the controls that are needed to guarantee that mobile applications comply with the available secure coding, encryption, and testing measures. A CIA triad, confidentiality, integrity, and availability, is also a guiding principle that should be applied to the design of resilient mobile communication systems that focus on the protection of data and reliability of services.  Also, it is possible to increase user adherence to mobile security policies by integrating behavioral theories of cybersecurity, including the Technology Acceptance Model (TAM), to tackle the perceived ease of use and usefulness of protective solutions (Lahcen et al., 2020). Integrating a technical framework and user-based theories is a guarantee of a comprehensive approach to mitigating threats. Finally, active risk analysis, secure development lifecycle, and ongoing learning are the foundations of mobile threat prevention in the enterprise and personal setting. References TS 8535 Week 6 DQ Lahcen, R. A. M., Caulkins, B., Mohapatra, R., & Kumar, M. (2020). Review and insight into the behavioral aspects of cybersecurity. Cybersecurity, 3(1), e10. https://doi.org/10.1186/s42400-020-00050-w Tanimu, J. A., & Abada, W. (2024). Addressing cybersecurity challenges in robotics: A comprehensive overview. Cyber Security and Applications, 3, e100074. https://doi.org/10.1016/j.csa.2024.100074 Struggling With Your Paper? 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