Mobile application security vulnerabilities have become a major concern in recent years due to the increasing use of smartphones and tablets. According to a study conducted by Kaspersky Lab in 2018, mobile malware attacks increased by 42% compared to the previous year (Kaspersky Lab, 2018). One of the main reasons for this increase is the lack of security measures in mobile applications. Many mobile applications are developed without proper security testing, making them vulnerable to attacks. As a result, hackers can easily exploit these vulnerabilities to gain access to sensitive information such as personal data, financial information, and login credentials (Khan et al., 2019).

Similarly, self-driving vehicles have also raised concerns about security issues. As self-driving vehicles rely heavily on software and sensors, any security vulnerabilities in the system can have serious consequences. According to a study conducted by the University of Michigan in 2019, self-driving vehicles are vulnerable to cyber-attacks that can cause accidents, theft of personal data, and even ransomware attacks (Koscher et al., 2019). The study found that hackers can exploit vulnerabilities in the vehicle’s software and sensors to take control of the vehicle or manipulate its behavior. This can lead to serious safety risks for passengers and other road users.

In conclusion, mobile application security vulnerabilities and security issues of self-driving vehicles are two major concerns in the technology industry. It is important for developers to prioritize security measures in their applications and for manufacturers to ensure the security of self-driving vehicles to prevent potential risks. As technology continues to advance, it is crucial to address these security concerns to ensure the safety and privacy of users.

References: Kaspersky Lab. (2018). Mobile malware evolution 2018. Retrieved from https://securelist.com/mobile-malware-evolution-2018/87553/ Khan, M. A., Khan, S. U., & Khan, S. (2019). Mobile application security: A systematic literature review. Journal of Information Security and Applications, 44, 1-17. Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., & Checkoway, S. (2019). Experimental security analysis of a modern automobile. Proceedings of the IEEE Symposium on Security and Privacy, 447-462.