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Second review
The document describes the SORT peer-to-peer trust model which aims to decrease malicious activity by establishing trust relationships among peers based on their interactions. The model involves peers uploading and downloading files, calculating trust and recommendation metrics based on interactions, and observing peers to identify strangers and acquaintances in order to isolate malicious peers and form trusted groups. Key components of the model include modules for service creation, peer establishment, file sharing, and calculating recommendation and trust metrics.
Second review
- 1. SORT A Self OrganizingTrust model for peer-to-peer systems
- 2. 4.4 Modules Description: 1.SORTservice creation 2.Peers establishment 3.Files uploading, downloading 4.Recommendation metric 5.Trust metric
- 3. 4.4.Modules Description: SORT servicecreation: There is no central server in most P2P systems, peers organize themselves to store and manage trust information about each other .Management of trust information is dependent to the structure of P2P network. distributed hash table (DHT)- based approaches, each peer becomes a trust holder by storing feedbacks about other peers .
- 4. Peers establishment: Self-ORganizing Trustmodel (SORT) that aims to decrease malicious activity in a P2P system by establishing trust relations among peers in their proximity. Peers do not try to collect trust information from all peers. Each peer develops its own local view of trust about the peers interacted in the past. In this way, good peers form dynamic trust groups in their proximity and can isolate malicious peers.
- 5. Files uploading, downloading: peersare assumed to be strangers to each other at the beginning. A peer becomes an acquaintance of another peer after providing a service, e.g., uploading a file. If a peer has no acquaintance, it chooses to trust strangers. An acquaintance is always preferred over a stranger if they are equally trustworthy. Using a service of a peer is an interaction, which is evaluated based on weight (importance) and recentness of the interaction, and satisfaction of the requester.
- 6. Recommendation metric: Recommendation isevaluated based on recommender’s trustworthiness. It contains the recommender’s own experience about the peer, information collected from the recommender’s acquaintances, and the recommender’s level of confidence in the recommendation. If the level of confidence is low, the recommendation has a low value in evaluation and affects less the trustworthiness of the recommender.
- 7. Trust metric: SORT definesthree trust metrics. Reputation metric is calculated based on recommendations. It is important when deciding about strangers and new acquaintances. Reputation loses its importance as experience with an acquaintance increases. Service trust and recommendation trust are primary metrics to measure trustworthiness in the service and recommendation contexts, respectively. The service trust metric is used when selecting service providers. The recommendation trust metric is important when requesting
- 8. Unified Modeling LanguageUnifiedModeling Language Use Case Diagram Sequence Diagram Collaboration Diagram State Chat Diagram Activity Diagram Component Diagram Deployment Diagram Class Diagram DFD
- 10. Use Case DiagramUseCase Diagram Observe Graph for Recommendation & Trustmetric Strore Peers Info Upload info Download info Trust Metric SORT Recommendation Pass node id neighbour count nodes creation Upload files Download File Observe Strangers & Acruitances SORT-Peer
- 11. 1. Whatever tocreate the use cases converts as a objects in sequence diagram. 2. Exchanges the messages from one object to another object representation process. 3. User it can perform the operations like create the UML diagram, draw the with some number of events to match the results with consistency rules. 4. We are going to providing as a final sequence diagram specification.
- 12. Sequence DiagramSequence Diagram SORTSORTSORT PeerSORT Peer Store Peer Info Pass node Id Neighbour count Upload Files Download File Check Matrics Graph Generation
- 13. 1. We arerepresented like sequence number of information. 2. It can executes from bottom to top.
- 14. Collaboration DiagramCollaboration Diagram SORTSORT Peer 1: Store Peer Info 2: Pass node Id 3: Neighbour count 4: Upload Files 5: Download File 6: Check Matrics 7: Graph Generation
- 15. 1. Transfer theinformation from one state to another state with the help of user activities specification. 2. All system oriented activities we are going to place inside the state chart diagram in between of initial state to final state specification process. 3. System it can takes decision making for performing the events of information.
- 16. State Chat DiagramStateChat Diagram Pass peerid Node count Create Neighbour node as Strangers Upload Info Download Info Observe Acquitances Check Graph Recommendation and Trustmetric
- 17. 1. All useroriented activities we are place inside the activity diagram representation. 2. We are going to all kinds of activities from starting to ending state specification process. 3. It can contains complete activities of application.
- 18. Activity DiagramActivity Diagram Create Peer Upload Files Download Files CheckRecommedation Values observe Graph
- 19. Class DiagramClass Diagram Main intid Strat() Peer Reciver int pid int ppt run() Peer Fram pid dsiplay neighbours() Peerdetails uplist filelist
- 20. Component DiagramComponent Diagram SORT-Peer FIle I nfo Node Observe St rangers & Acruit ances
- 21. Deployment DiagramDeployment Diagram SORT ObserverGraph Pass node id Neighbour count Check Mat rics Graph Generat ion Upload Peer I nfo Upload FI le
- 22. Context Level DFDContextLevel DFD
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