Kang Il Choi

Cloud based Video Storage System with privacy protection

In this paper, we present a novel method to protect privacy information for the Cloud based Video Storage System (CVSS), which not only distribute the CVSS geographically, but also use different privacy protection key algorithm for different CVSS to encode/decode the actual video data itself stored in the storage with the subscriber key for the privacy protection so that the system even under the hacking of the CVSS systems, still provide the privacy protection of the video data. We present how this system stores the video stream data transferred from the network connected camera such as IP CCTV. As the system receives the video stream, it masks the privacy related part, such as facial information or car plate number and so on, of the video stream data with a scrambling key and it also encrypts the scrambled video stream data with an encryption key. In this paper, we also present how the system retrieves the privacy information protected video image requested by either the network control centre or end users. When the network control centre or end user requests the networked video, it retrieves the corresponding video image from the video storage first. Then, it decrypts the image with the decryption key and unscrambles the decrypted image with the unscrambling key. Then it transfers the network video back to the network control center or to the end-user. We present the architecture of the distributed CVSS with the privacy protection for the Cloud based Network Function Virtualization System. We also provide flowchart for receive/transmit operation of the DCVSS. Finally, we present a POC implementation of the distributed CVSS in the Cloud based Network Function Virtualization System.

A distributed cloud based video storage system with privacy protection

In this paper, we present a novel method to protect privacy information for the Cloud based Video Storage System (CVSS), which not only distribute the CVSS geographically, but also use different privacy protection key algorithm for different CVSS to encode/decode the actual video data itself stored in the storage with the subscriber key for the privacy protection so that the system even under the hacking of the CVSS systems, still provide the privacy protection of the video data. We present how this system stores the video stream data transferred from the network connected camera such as IP CCTV. As the system receives the video stream, it masks the privacy related part, such as facial information or car plate number and so on, of the video stream data with a scrambling key and it also encrypts the scrambled video stream data with an encryption key. In this paper, we also present how the system retrieves the privacy information protected video image requested by either the network control centre or end users. When the network control centre or end user requests the networked video, it retrieves the corresponding video image from the video storage first. Then, it decrypts the image with the decryption key and unscrambles the decrypted image with the unscrambling key. Then it transfers the network video back to the network control center or to the end-user. We present the architecture of the distributed CVSS with the privacy protection for the Cloud based Network Function Virtualization System. We also provide flowchart for receive/transmit operation of the DCVSS. Finally, we present a POC implementation of the distributed CVSS in the Cloud based Network Function Virtualization System.

A design of virtual machine aware flow switch in the cloud based network function virtualization system

In this paper, we present a design of Virtual Machine aware flow switch in the Cloud based Network Function Virtualization System, which capable of providing a service at a stable speed even though the number of virtual machines connected to a hypervisor is increased by extracting flow information about each of a plurality of packets and providing network virtualization. In this paper, we also present an architecture of the VM aware flow switch, detailed operation method of it, and the POC of the VM aware flow switch.

Tenant based dynamic processor mapping in the cloud network function virtualization system

In this paper, we present a novel processor mapping method for Cloud Network Function Virtualization System which ensures that network traffic processing of virtual machines belonging to the same tenant is not affected by congestion in network traffic of virtual machines belonging to different tenant. In this paper, we provide a method of dynamically mapping a processor, the method including extracting tenant information on a tenant and information on a virtual machine generated by a Cloud OS or controller; classifying virtual machine queues and processors to process the virtual machine queues by tenant; and dynamically mapping the virtual machine queues onto the processors by tenant. The dynamically mapping of the virtual machine queues onto the processors by tenant may include dynamically mapping the processors to process the VMQs in proportion to either a total number of virtual machine queues belonging to the same tenant, or a total number of virtual machine queues belonging to the same tenant. Finally, we describe the operation of the Tenant based Dynamic Processor Mapping including both spreading process and coalescing process with flow chart.