Improved Security and Privacy In: A Media Cloud Computing Middleware for Content Management Using Cloud Material Protection Algorithm | Open Access Journals

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Improved Security and Privacy In: A Media Cloud Computing Middleware for Content Management Using Cloud Material Protection Algorithm

R.Bhagya1 , Chitradevi 2
  1. Student, Department of Computer Science and Engineering, Roever Engineering College, Perambalur, India
  2. Assistant Professor, Department of Computer Science, Thanthai Hans Roever College, Perambalur, India
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Abstract

Cloud computing is becoming a key element in service provision, allowing access to resources across internet transparently without the hassle of investing hardware resources nor maintaining or managing them. At present, sharing of media files with friends and families get admired worldwide. UPNA or DLNA are protocols designed to share content between devices within home network. It lacks the mechanism to share content outside the home domain and it doesn’t support advanced search capabilities. To alleviate the above problem, we propose Media Cloud, a middleware instantiated in set-top boxes to manage media transparently allowing uniform access to multimedia content belonging to different home. In addition, construction of cloud computing and security mechanism of material protection calculating method, namely, Global Authentication Register System (GARS), to reduce cloud material outflow risk.



Keywords

UPnp,DLNA,GARS,TTP

INTRODUCTION

Cloud computing is a new paradigm that offers scalability, reliability, availability when accessing resources across Internet. Moreover cloud computing is expected to abstract the details of the underlying infrastructure even when they are complex. The term "cloud" is a metaphor for the Internet, the network over which different organizations join to dynamically offer scalable resources. Media management is among the most outstanding aspects of cloud computing, since the cloud makes possible to retain and share large amounts of digital media. Cloud computing might be a good solution for processing content in distributed environments. Current home devices can produce, store and deliver high quality media that can be finally distributed towards social networks and communities where constituent members might be family or friends. However, there is no infrastructure to keep data under control or even find a concrete media in the home environment or outside it. Media cloud has been designed to cope with this problem letting users constitute cloud with friends even if media is located outside their domains.

RELATED WORK

Universal Plug and Play (UPnP) is a set of networking protocols that permits networked devices, such as personal computers, printers, Internet gateways, Wi-Fi access points and mobile devices to seamlessly discover each other's presence on the network and establish functional network services for data sharing, communications, and entertainment. UPnP is intended primarily for residential networks without enterprise-class devices. The UPnP technology is promoted by the UPnP Forum, a computer industry initiative to enable simple and robust connectivity to stand-alone devices and personal computers from many different vendors. The Forum consists of over eight hundred vendors involved in everything from consumer electronics to computing. The concept of UPnP is an extension of plugand- play, a technology for dynamically attaching devices directly to a computer, although UPnP is not directly related to the earlier plug-and-play technology. UPnP devices are "plug-and-play" in that when connected to a network they automatically establish working configurations with other devices.
DLNA refers to Digital Living Network Alliance. The DLNA standard is used for sharing music, photos and video over an existing home network. For example, by using DLNA you could stream video from your phone to a compatible TVset using a Wi-Fi network. Compared to the existing models, proposed model of media cloud consist contains the following features 1.Allows multiple users across different home network to share/access content,2.Encryption and decryption of sharing files.3.Security over out flow of user generated media files.

MEDIA CLOUD ARCHITECTURE

1. Home Network

A Home network or home area network is a residential local area network (LAN). It is used for communication between digital devices typically deployed in the home, usually a small number of personal computer and accessories, such as computers and mobile computing devices. In the home networks they use UPnP and DLNA protocols to share the media content with their families and friends.

2. Media Cloud

Media Cloud is a middleware for enabling media-centered cooperation among home networks. Media Cloud is the bridge to an open architecture that allows users to join their home equipments to constitute a cloud. Media Cloud abstracts the underlying complexity to provide a new content distribution model that simplifies classifying, searching and accessing user-generated and commercial content within the home networks. In the Media Cloud consist of two modules: The Media Indexer and The Foreign Content Aggregator. Aside those modules there is a security layer which enforces security policies and filter contents.

3. Media Indexer

The Media Indexer discovers devices located in the home domain and interrogates them to gather information about the contents they retain. It uses content information to produce an index that will be used by the Foreign Content Aggregator to facilitate search operations. The Media Indexer has two functional blocks: The Content Indexer and The Home Domain Manager.

3.1. Content Indexer

The Content indexer collects information about the content as media type, creation date, metadata, and user’s annotations. It also registers access information as the hardware identifier or the network address of the device holding that content, Protocols that can be used to access the content. With that information, it builds an index and stores it in the Home media indexes (HMI) database. Content indexer processes a media file, as a photo or video, it needs cooperation for the devices, for instances, to provide information about the media file.
This procedure requires device to implement a metadata extraction services accessible by ,for instance, DLNA or UPnp .Even though that is the preferred way, the content indexer can fetch the media file from the device or part of it, since the beginning usually contains the metadata, to process it. content indexer in charge of building an index for content using content metadata, social network feeds and internet related content. it is possible to use many different quires as phrase, wildcard, proximity, or range quires.
3.2. Access Policy Server is the security component of the Media Cloud that provides authorization services and facilitates tracking and control of media files. The access policy server acts as Policy Decision Point (PDP) which accepts access control requests, validates against the policy defined held in policy repository, makes decisions by using TTP server and returns the access control responses.

3.3. Home domain Manager

Home domain manger deals with the different network devices present in the home network. it relies on a plug-in system for supporting different devices and protocols, and it can be extended to support upcoming technologies. When content are requested from the home network or from the cloud the HDM retrieves the access information fields from the Access Policy server and instantiates

4. Foreign Content Aggregator

The Foreign Content Aggregator handles cloud communications. It makes content stored in devices at the home network available to other Media Cloud instances through Internet. The module is composed by a Content Server and a Content Delivery module. The Content Server facilitates foreign clients to search within the HMI database. The Content Delivery module sends content to other Media Cloud instances located outside the home domain. The authentication is handled by the Security Layer which includes access policy server and third party of trust after a foreign client is successfully authenticated and authorized. The Content Server Module enables users outside the domain to search content within the HMI database. The Content Delivery Module delivers the content to the requesting node outside the home domain.

5. GARS on Third Party of Trust

Security in media cloud is maintained using access server policy. Authentication in media cloud is handles at each user level, associated with their roles and we applied role based authentication mechanism. only if the authentication mechanism is successful the user were allowed to access the multimedia content. the authorized user can view the indices created and stored in the HMI database. As we follow the algorithm it is mentioned in Mathematical Problems in engineering volume 2013,Airticle ID 871430 ,To establish global authentication Register system (GARS) on third party clouds of trust (TTP) Provides the subscriber’s premises and clouds both sides separately carries out a disposal registration certification service, but Public cloud part establishes right of privacy frame and model in the public cloud, and the encryption mechanism uses the GARS calculating method of this research and makes processing and protection on the privacy material and security.
Data Transmission Flow. FIGURES 5 AND 6 ARE SUBSCRIBER’S PREMISE/CLOUDS AND TTP PROOF PROCEDURE DATA TRANSMISSION
The Calculating Method Parameter Definitions : C: Client , S: Server.
Kn : Authentication basis code.(K0 obtains initial authentication basis code by GARS).
H : Hash Function.
Kn+1=h(Kn):Encryption Key(transmission end).
Kn+1’=h(Kn’):Encryption Key(receiving end).
P= Kn+1+Kn{Data}:Encryption seal Material(Package).
The GARS calculating method. GARS calculating method steps are as follows.
Step 1: the client sends out request register key to GARS.C-TTP: Request Register Key.
Step 2: GARS Transmits one group of key:K0 to give client. TTP-c: Send Public key:K0.
Step 3: Client informs Cloud server Register Key. C-s:Notify Register Key.
Step 4: Cloud server sends out Request Register Key to GARS. s-ttp Request Register Key.
Step 5: GARS transmits the same group key:K0 to give cloud server. TTP-s:Send Register Key.
Step 6: The subscriber’s premise uses K0 to Produce one group of authentication encryption
key:K1(K1=h(K0))transmission encryption material (P=K1+K0{Data}) to cloud
server. CS:Kn+1=h(Kn),P=Kn+1+Kn{Data}.
Step 7: Cloud server receives the encryption material and uses original Kn ’, Hash function obtain Kn+1 ’, confirmation Comparison step 6 Kn+1 weather is equal to step 7 Kn+1’;if equal, then it uses Kn to decipher the material. S:use Kn create Kn+1’(Kn+1’=h(Kn)).if Kn+1’=Kn+1identify C then use Kn{Data} S-c:Kn+1=h(Kn),P=Kn+1+Kn{Data}.
Note. (1) If the Server end must transmit material to return to the Client end, then similarly use Steps 6 and 7, Server and Client role exchange.
(2) If material authentication mistake, by the subscriber’s premise were decided whether needs to duplicate the Step 1 to Step 5 to authenticate.

RESULT ANALYSIS OF GARS

Cloud material protection algorithm (GARS) which takes the technical theory of symmetrical encryption as the foundation, applies GARS in the information security of cloud computing. GARS has used the third party authentication mechanism trust, contains using Hash function and AES/DES data encryption technology characteristics, and coordinates the completed GARS flow to effectively protect security of cloud material and readability of stolen material.Figure-3 is Client/Server both sides authenticate Http Response Time after authentication;we may see that it take approximately 7 seconds to carry out analog transmission material 50 times response time to complete. Figure 5 is GARS one time authenticates Http Response Time; we may see that it takes 22 seconds to carry out the analog transmission material 50 time response time to complete.
By way of the above results analysis of experimental data is stated as follows. (1) Client/Server/TTP one time authentication flow (5 steps): data are made by the simulation implementation in carrying out 50 times Client/Server to TTP authentication flow in which the finish time is 22 seconds, and authentication time on average is 0.44 second each time. (2) Client/Server both sides authentication flow (2 steps): after carrying out TTP authentication, Client/Server does not need to make the authentication with TTP again so long as carries out Client/Server both sides authentication flow in carrying out 50 times Client/Server both sides authentication flow in which the finish time is 8 seconds, and authentication time on average is 0.16 second each time. (3) Client/Server/TTP tripartite authentication flow(7 steps):this empirical datum needs to carry out the time needed of tripartite authentication for the simulation in which each time is 33 seconds, and authentication time on average is 0.66 second each time.

CONCLUSION AND FUTURE WORK

GARS utilization can protect the material security, in potency, because after GARS carrying out one time authentication, only needs user and cloud make both sides authentication flow; it has the obvious performance in the potency with currently general procedure of the authentication flow. Efficiently protect the user content from other also out flow is protected in the media cloud. Media Cloud achieves transparency and provides a secured, economically effective and manageable solution for bringing cloud computing paradigm to content management among federated home networks. It supports different devices by performing content adaption and enhances cooperation among different home networks facilitating an easy to manage solution.

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References