Secure network solutions for cloud services

Securing a cloud network is an important challenge for delivering cloud services to cloud users. There are a number of secure network protocols, such as VPN protocols, currently available to provide different secure network solutions for enterprise clouds. For example, PPTP, L2TP, GRE, IPsec and SSL/TLS are the most widely used VPN protocols in today’s securing network solutions. However, there are some significant challenges in the implementation stage. For example, which VPN solution is easy to deploy in delivering cloud services? Which solution can provide the best network throughput in delivering the cloud services? Which solution can provide the lowest network latency in delivering the cloud services? This thesis addresses these issues by implementing different VPNs in a test bed environment set up by the Cisco routers. Open source measurement tools will be utilized to acquire the results. This thesis also reviews cloud computing and cloud services and look at their relationships. It also explores the benefits and the weaknesses of each securing network solution. The results can not only provide experimental evidence, but also facilitate the network implementers in development and deployment of secure network solutions for cloud services.Master of Computing (Research

Rate-Splitting Multiple Access for Simultaneous Multi-User Communication and Multi-Target Sensing

In this paper, we initiate the study of rate-splitting multiple access (RSMA) for a mono-static integrated sensing and communication (ISAC) system, where the dual-functional base station (BS) simultaneously communicates with multiple users and detects multiple moving targets. We aim at optimizing the ISAC waveform to jointly maximize the max-min fairness (MMF) rate of the communication users and minimize the largest eigenvalue of the Cram\'er-Rao bound (CRB) matrix for unbiased estimation. The CRB matrix considered in this work is general as it involves the estimation of angular direction, complex reflection coefficient, and Doppler frequency for multiple moving targets. Simulation results demonstrate that RSMA maintains a larger communication and sensing trade-off than conventional space-division multiple access (SDMA) and it is capable of detecting multiple targets with a high detection accuracy. The finding highlights the potential of RSMA as an effective and powerful strategy for interference management in the general multi-user multi-target ISAC systems