1 / 17

CIS 6930: Workshop III Encounter-based Networks

CIS 6930: Workshop III Encounter-based Networks. Presenter: Sapon Tanachaiwiwat stanachai@gmail.com Instructor: Dr. Helmy 2/5/2007. Agenda. Introduction Motivation Examples of Encounter based networking Encounter-based worm interactions Experiment for our class Reference. Introduction.

cassia
Download Presentation

CIS 6930: Workshop III Encounter-based Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CIS 6930: Workshop IIIEncounter-based Networks Presenter: Sapon Tanachaiwiwat stanachai@gmail.com Instructor: Dr. Helmy 2/5/2007

  2. Agenda • Introduction • Motivation • Examples of Encounter based networking • Encounter-based worm interactions • Experiment for our class • Reference

  3. Introduction • What is Encounter-based networking • Networking relying on encounter or relationships between nodes (Social networking) • Wireless ad hoc networks • Discontinuous path (Intermittent connection) • Store-and-forward (Bundles) • Similar to delay-and-disruption-tolerant-networking • Large delay • Low data rate • High loss rate • Basic assumptions of each node • Persistent storage • Willing to participate • Limitation of Power • Short Radio Range

  4. Motivation • Why we need encounter-based networks • Reasons? • What we can learn from Experiment 1 and 2 • Wireless LAN Coverage on Campus is good for any where and any time computing? • How can you analyze of the potential of encounter-based networking? • Step 1: Look where the holes on campus? • Step 2: Analyze the encounter characteristic based on WLAN • Step 3: Do Experiment number 3 • Step 4: ?

  5. Examples of encounter-based networks • Military tactical networks • Disaster relief • ZebraNet • Interplanetary networks • Rural village networks • Underwater acoustic networks • Other?

  6. http://www.cs.rice.edu/~animesh/comp620/presentations/JFP04_D.pdfhttp://www.cs.rice.edu/~animesh/comp620/presentations/JFP04_D.pdf

  7. Epidemic Routing

  8. Encounter-based worms • Future direction on worm attacks!! (Cabir, ComWar) • Rely on encounter pattern/relationships between users. • Close to flooding, i.e. Epidemic routing. • Propagate via Bluetooth connection (10-meter range) • Question: How can we alleviate this problem? • Traditional prevention at gateway such as firewall not effective against fully distributed attacks • Disconnected networks  No centralized update • Inspired by War of the Worms: CodeGreen worms launched to terminate CodeRed worms • Approach: Deploy automated generated predator worm to terminate prey worm  worm interaction

  9. Encounter-based worm interaction Susceptible Predator Prey Prey and predator’s infection rate rely only on encounter characteristics

  10. Analysis of Worm Interaction S=Susceptible IA= Prey infected hosts IB = Predator infected hosts β = Contact rate

  11. Simulation Results Encounter level simulation with 1000 mobile nodes having uniform encounter Reaction time Reaction time Mathematical Model Simulation Based on aggressive one-sided interaction encounter rate = contact rate Closely estimate the infectives when varying reaction times (off 3.8%)

  12. Worm Propagation Based On Encounter Derived from WLAN Trace

  13. Worm Interaction Based on Bluetooth i-Mote Traces

  14. Experiment Setup • Goal: To answer the following questions • Is the UF campus the good target for worm propagation, given that it propagates via Bluetooth? • If so, what places are most vulnerable? • If you want to stop the propagation with other worm, how can you do it effectively? • Equipments: iPAQs, your laptops, your strategies • Software: Modified Bluechat, Bluetooth Explorer,Netstumbler, AirSnort, etc. • Trace format of Modified Bluechat: • Name of device (brand) [MAC Address] Month/Date/Year Hour/Minute/Second

  15. Experiment • Bluetooth device discovery • Distribution of Bluetooth devices that you encounter during the day • E.g. Type of devices such as cell phone or lap top, brand of such devices such as Nokia, Motorola, etc. • Bluetooth game Design the strategies for • Largest of encounter rate per day • Largest number of unique devices • Largest number of stable devices (long-duration encounters) • Different roles between teams e.g. Cops and Cons • Bluetooth and WLAN relationships • Can you derive the correlation between them?

  16. Example of Bluetooth map

  17. Reference • E. Anderson, K. Eustice, S. Markstrum, M. Hansen, P. L. Reiher , “Mobile Contagion: Simulation of Infection and Defense” PADS 2005: 80-87 • S. Capkun, J. P. Hubaux, and L. Buttyan "Mobility Helps Security in Ad Hoc Networks" Fourth ACM Symposium on Mobile Networking and Computing (MobiHoc), June 2003 • F. Castaneda, E.C. Sezer, J. Xu, “WORM vs. WORM: preliminary study of an active counter-attack mechanism”, ACM workshop on Rapid malcode, 2004 • A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, R. Gass and J. Scott, “Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms” IEEE INFOCOM, April 2006 • W. Hsu, A. Helmy, "On Nodal Encounter Patterns in Wireless LAN Traces", The 2nd IEEE Int.l Workshop on Wireless Network Measurement (WiNMee), April 2006 • S.Tanachaiwiwat, A. Helmy, "Encounter-based Worms: Analysis and Defense", IEEE Conference on Sensor and Ad Hoc Communications and Networks (SECON) 2006 Poster/Demo Session, VA, September 2006 • A. Vahdat and D. Becker. Epidemic routing for partially connected ad hoc networks. Technical Report CS-2000.

More Related