CarGurus (United States)

This paper presents a hybrid CNN-LSTM model integrated with GMAC for intrusion detection and secure communication in IoT networks. The system uses Yule-Simon Distribution-Based Lyrebird Optimization Algorithm for feature selection that can achieve the highest anomaly detection accuracy at minimal computational cost in real-time applications. The proposed model uses GMAC with simultaneous encryption and authentication and the CNN-LSTM hybrid for the detection of intrusion in IoT traffic data. Hence, the detection accuracy and the processing time is much better compared to the traditional methods. System detection accuracy at 99.10% was achieved with a latency of 980ms; thus, there is robust performance with minimal overhead of computation. This advanced approach improves the security of IoT and offers an effective and scalable solution for smart city and industrial IoT networks, providing high accuracy, low latency, and strong encryption.

Data security is now a major problem with the growth of cloud storage. Putting strong security measures in place has become crucial as more private data is kept on cloud servers. In order to improve the overall security of cloud storage solutions, this investigation explores a number of data protection techniques, with a particular emphasis on encryption, access control, and data integrity. In this investigation the main goal is to find and evaluate efficient security techniques for use in cloud storage systems, that utilize minimum resources whilst providing guaranteed confidentiality of sensitive data. The investigation would examine how user authentication systems, access control devices and encryption function. It also seeks to provide recommendations for a ‘defence-in-depth' security approach that protects data and helps instil trust in the user base. In this research, address the two major parts of cloud storage security; problems and their potential solutions in our the investigation through detailed literature review. It covers a range of encryption practices, access management strategies and data integrity measures. It brings expert comments as well some relevant case studies which back the dissertation's comparative study of current approaches and frameworks, specifying their pros and cons. The findings revealed that layered security measures improve the data durability of cloud storage. Encryption is one of the critical factors to safeguard sensitive information, which could be encrypted and here you go for access control process efficiently halt illicit accesses. It also clearly shows that user authentication is essential to secure data exchange and may help increase confidence of users in the cloud storage options. Protecting data in cloud-based storage via meticulous security protocols was emphasized by this study. Combining user authentication, access control and encryption is the best way to mitigate it for organizations. It offers useful tips that you may use to improve your cloud-based security protocols, something which would up user trust overall (so long as the management of private data is secured).