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Doctoral Dissertation Research Proposal

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1 Doctoral Dissertation Research Proposal
Anand Patwardhan eBiquity Research Group CSEE Dept., UMBC Ph.D. Committee Dr. Anupam Joshi (Advisor and Chair), UMBC Dr. Timothy Finin, UMBC Dr. Yelena Yesha, UMBC Dr. Zary Segall, UMBC Dr. Bhavani Thuraisingham, UT Dallas Dr. Tom Karygiannis, NIST © Anand Patwardhan

2 Education Publications
M.S. in Computer Science and Engineering, Oregon Graduate Institute, March 2002. (GPA 3.74/4.00) B.E. in Computer Engineering, University of Pune, August 2000. (First Class with Distinction, all years) Publications “Secure Routing and Intrusion Detection in Ad Hoc Networks,” Proceedings of the 3rd International Conference on Pervasive Computing and Communications, March 2005. “Enforcing Policies in Pervasive Environments,” Proceedings of the 1st International Conference on Mobile and Ubiquitous Systems: Networking and Services, August 2004. © Anand Patwardhan

3 Outline Background Motivation Proposed Approach Research Issues
Preliminary Work Timeline Summary © Anand Patwardhan

4 Information infrastructure
Evolution Information infrastructure Micro-transactions Pervasive Peer-to-peer File sharing Distributed Transactions CompactFlash MMC SD Federated Microdrives Hard disks Centralized Cellphones Tape Drives Handhelds Laptops Supercomputers Fibre Optics Relations Ethernet Technology 802.11a,b,g ACID Files Bluetooth RFID Sensory data Single Copy Versions Belief Neighborhood consistency Trustworthy Data © Anand Patwardhan

5 On-demand functionality
Television Handheld GPS Navigator Mp3 player Game console Cell phone Camera Credit Card CF Storage SmartCard RFID Reader Video © Anand Patwardhan

6 Motivation Portability and mobility Autonomy and collaboration
Wireless connectivity Small form factors Autonomy and collaboration Personal goals Collective goals Abundant storage Services To-Go Reputation management Evolving application scenarios Omnipresent services Peer-to-peer relations Pervasive (distributed) trust © Anand Patwardhan

7 Research Challenges Security for resources Trust in other resources
Malicious behavior (Activity monitoring) Misuse (Resource protection) Response/recourse (Accountability) Trust in other resources Dependence on recommendations (Identities and Reputations) Reliability of information © Anand Patwardhan

8 Challenges (contd.) Privacy Information sources Storage Management
Anonymity (Surveillance) Information sources Local, distributed, and serendipitous Response latency Storage Management Buffers and pro-active caching Updates and consistency © Anand Patwardhan

9 Research Focus Distributed Trust Resource management
Independent domains Unbounded spaces Malls, freeways, and University campuses No single or federated “authority” Limited Connectivity Continuous connectivity improbable or infeasible Scalability Potentially innumerable devices Common Access Medium Wireless communication Ad hoc networks highly collaborative Resource management Efficiency Success rates Response latency Distributed processing Reliability and trustworthiness Protection © Anand Patwardhan

10 © Anand Patwardhan Weather Beacon Directions Denial of service Time
Attacker Response Pack Formation (shoal) Context Resources © Anand Patwardhan

11 Thesis Statement Pervasive trust can be achieved by collaboration and reputation management. Pack formations will enable reliable and trustworthy Resource Management Frameworks for Pervasive Environments. © Anand Patwardhan

12 Proposed Approach Pervasive Trust Resource management
Persistent Identities SUCV [Mo02], CGA[Au04] Reputations Resource management Pack formation Search Activity monitoring Recommendations Accusations [Pa05] Proactive and reactionary measures Dominions Immediate response Exclusion © Anand Patwardhan

13 Related Work MoGATU, UMBC [Pe02] Telegraph Project, UCB [Ch02] PGP
Profile based data management Beliefs, Desires, and Intentions Telegraph Project, UCB [Ch02] Streaming data Queries over streaming data PGP Distributed trust Key management © Anand Patwardhan

14 Conceptual Model Interactions Routing Substrate
Trust evolution and Reputation Management Beliefs, recommendations, and pack formation Routing Substrate Interactions © Anand Patwardhan

15 Our Previous Work Enforcing Policies in Pervasive Environments
Secure routing and Intrustion Detection in MANETs AODV TCP IPv6 Ethernet Frame { RREQ, RREP, RERR } { TCP Sequence no., TCP checksum } Update in-memory hashtable Build and Maintain Neighbor table (mac, ipv6) pairs And route status From the packet capture library (pcap) in Promiscuous mode Packets that should be forwarded © Anand Patwardhan

16 Trust Evolution and Reputation Management
Mechanisms Activity monitoring Recommendations Social networks Context Benefits Protect connectivity (routes) Reliability and accuracy of data © Anand Patwardhan

17 Device View Activity Monitoring Data Management Trust Evolution
Context Management Reputation Storage Sensory Devices Network Interfaces Bandwidth Social Network Neighborhood Pack Mobile Device

18 Global View Mobile Device Social Network Pack Neighborhood
© Anand Patwardhan

19 Pack formation and dominions
Mechanisms Context (neighborhood, time, goal) Beliefs, desires and intention – common intent Proximity Trustworthiness Incentives (sharing resources) Benefits Accomplish complex tasks Foster trust relationships Improved latency Collective, proactive, and reactive response (dominion) © Anand Patwardhan

20 Collaborative Interactions
Mechanisms Pack formations Reliable data routing substrate Primitives Benefits Increased scope Fast and reliable responses Improved success rates Trust evolution © Anand Patwardhan

21 Research Plan Phase 1 Phase 2 Phase 3
Assume trust relationships, persistent identities Simulate trust evolution and reputation management using activity monitoring and existing trust relations Phase 2 Prototype implementation Routing Substrate and interaction primitives Dynamic pack formation algorithms Phase 3 Privacy preserving interactions Incentives and penalties for motivating cooperative behavior © Anand Patwardhan

22 Preliminary work GlomoSim Simulation 150 x 150 m2
5 to 10 collaborators 40 to 100% knowledge Random waypoint, 5 s waiting, upto 5 m/s AODV routing © Anand Patwardhan

23 © Anand Patwardhan

24 Proposed approach and expected contribution
Pack formation Pervasive Trust Context Assisted Reputation Management Accountability Trustworthy Data Routing Substrate Activity monitoring Collaborative Query Processing © Anand Patwardhan

25 Expected Contributions
Context assisted trust evolution Pack formation Primitives Algorithms Reputation management system Trustworthy data routing substrate Collaborative query processing framework © Anand Patwardhan

26 Timeline Reputation Management Data routing substrate
Preliminary trust evolution models Integration into prototype Testing and validation Privacy preserving interactions Metrics and cost models Data routing substrate Interaction primitives Simulation and design Prototype Implementation Testing and validation Collaborative Framework Prototype Pack formation primitives Implementation Incentive models Interaction modeling Integration with reputation maintenance module Testing and validation Thesis writing and review Review, refine design of algorithms and implementation, analyze and document results J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D © Anand Patwardhan 2005 2006 2007

27 Summary Pervasive trust Reputation management Data routing substrate
Distributed Autonomy Reputation management Social networks and contexts Pack formation Activity monitoring Data routing substrate Reliable and trustworthy data © Anand Patwardhan

28 References [Mo02] G. Montenegro and C. Castelluccia. Statistically Unique and Cryptographically Verifiable(SUCV) identifiers and addresses. citeseer.ist.psu.edu/montenegro02statistically.html, 2002. [Au04] T. Aura. Internet Draft: Cryptographically Generated Addresses (CGA). February 2004. [Pa05] A. Patwardhan, J. Parker, A. Joshi, M. Iorga, and T. Karygiannis. Secure Routing and Intrusion Detection in Ad Hoc Networks. In Proceedings of the 3rd International Conference on Pervasive Computing and Communications (to appear), Kauai Island, Hawaii, March 2005. [Pe01] F. Perich. MoGATU: Data Management in Pervasive Computing Enviroments [Ch02] S. Chandrasekaran and M. J. Franklin. Streaming Queries over Streaming Data. In Proceedings of the28th VLDB conference, 2002. © Anand Patwardhan

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