Research On Trust Model For Internetware

With the increasing popularity and development of the computing environment of theInternet, the Internetware, a new form of the software system, comes into being. Unlike thefeatures (such as the limited autonomy, fixed encapsulation and interactive monotonicity) ofthe traditional software which runs in a static, closed and controlled environment, theInternetware is of high degree of autonomy, dynamic synergy, continuous reactivity, dynamicevolution and multi-objective. The presence of the Internetware has brought new issues andchallenges to the research on, for example, the software theory and model under the open anddynamic environment, the software technology and the method. Judging from the systemarchitecture of the Internetware, the Internetware is comprised of software entities and theircollaborative method. These software entities are autonomous, heterogeneous and distributedin the network environment, and are usually provided by the third party. They encapsulatevarious resources and reside independently on individual nodes, offering services to multipleclients and collaborating in different interactive ways. The Internetware can not only meet theever-changing client requirements, but also make dynamic adjustment in accordance with thechanges to the environment. The massive and diverse software entities and the complex andever-changing collaboration manners have made the development of the creditableInternetware become the important and difficult aspect of the study the Internet theory andtechnology. It has important values and significance to study the realisation of the intelligentand creditable Internetware model in the dynamic and difficult-to-control environment. Assuch, this paper intends to study the Internetware creditability techniques. It proposes a newsecurity technique that adds the trust behaviour to the existing network security techniques,which has enhanced the dynamic processing of the network status and provided strategicfoundations to implement self-adaptive, robust and creditable Internetware. The researchfocus of this paper includes the following:(1) Based on the fundamental features the technique implantation methods, to propose anInternetware creditable evolution model, within which the software service entities achieveonline collaboration evolution in the Internet environment. To detail and analyse and the basicstructure of the model, the core mechanism and its detailed implementation process, and in particular, to detail how the model achieves the online evolution. The evolution model isbased on the runtime Internetware architecture (RIA). The RIA and the running systems havethe casual connections. The rules on the Internetware architecture during the design phase hasbeen detailed as the runtime Internetware architecture meta model (RIAMM), which isembedded in the running system and programmable. RIAMM can be modified dynamicallyvia a set of self-adaptive rules in order to achieve the dynamic evolution by controlling therunning systems at a deeper level. Based on the evolution model, to study the trust mechanismin the evolution layers and come up with a comprehensive evaluation algorithm to selectsoftware entities to join the system. In the end, to study the implementation of the softwareentities techniques in order to support the study the feasibility and the rationale of thecreditability model of subsequent Internetware at the theoretical level.(2) Based on the over architecture of the Internetware online evolution model, to studythe creditability measurement model of the Internetware. With regards to the problem that thefinal evaluation result is inaccurate due to the credibility measurement model granularitybeing rough, to propose a dynamic creditability measurement model based on multiple taskclassification. Based on the timeframe based dynamic creditability model, the model allocatesdifferent weights further to the classification different tasks and calculates the creditabilityvalues of the corresponding node, which has contributed to the granularity of the evaluationresult. In the meanwhile, considering the impacts on the recommended creditability and thefeedback credibility due to the difference of the individual experience, to introduce experiencefactors into the calculation of the feedback creditability, which has make up the evaluationinaccuracy problem caused by the insufficient experience of individuals. In this model, anentity node not only needs to evaluate the creditability of the nodes that it collaborates, butalso needs to evaluate itself in order to obtain the creditability information that other entitynodes calculate against itself. The purpose is to use the both evaluation results as the decisioncriteria for Bayesian game modeling.(3) With regards to the complicity of the creditability of the software entities within theopen Internetware and the feature of the trusting relationship through the trustworthycollaboration process which is similar to the one in the social society, to Bayesian gamemodeling against the trusting relationship between entity nodes. Since the Internetware entitynodes obtain incomplete information during the collaboration process and are unable to confirm the type of the entity nodes that they collaborate with, it is necessary to establish theBayesian game model of the node collaboration. This introduces the probability of natureselection and converts the game of incomplete information into the game of complete butimperfect information via the Harsanyi conversion. The focus is to use the creditabilitymeasurement information from the second part as the base for decision-making, guide thenode during the game, analyse and predict the game result effectively.(4) To study the incentive mechanism of the Internetware credibility model, using thegame theory. The analysis of the Bayesian game model shows that the selfish software entitieswithin the network have the“free riding” behaviour during the process collaboration witheach other, which traps the collaboration between selfish nodes to "the prisoner dilemma". Tosolve this problem, this paper establishes the repetitive game model between the selfishsoftware entities and looks for the proper strategy to encourage the software entitiescollaborate autonomously. Based on this, to discuss the evolution trend of the software entitypopulation using the evolution game model, to find the only stable evolution strategy inaccordance with the network evolution through the establishment of “Replicator dynamicequation”, and to discuss the incentive punishment mechanism in order to assist theInternetware in moving toward the stable evolution strategy.