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Providing Robust and Ubiquitous Security Support for Mobile Ad-Hoc Networks. Georgios Georgiadis. 6/5/2008. Introduction. Mobile Adhoc Networks (MANETs): widely spread networking solutions, expected to grow more in the future Security of transmission mediums, Air vs Wire: 0-1
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Providing Robust and Ubiquitous Security Support for Mobile Ad-Hoc Networks Georgios Georgiadis 6/5/2008
Introduction • Mobile Adhoc Networks (MANETs): widely spread networking solutions, expected to grow more in the future • Security of transmission mediums, Air vs Wire: 0-1 • Absolute security not feasible, nodes become corrupted eventually • But users demand security anywhere, anytime • Who do you trust?
Overview • Motivation • Proposed solution • Design • Architecture (What to do) • Protocol (How to do it) • Evaluation • Q&A (mine) • Q&A, round 2 (your turn)
Motivation • We need security services to be: • Intrusion-tolerant • Available anywhere, anytime • Scalable • We have security services that are: • Centralized: fails on all three accounts • Hierarchical: succeeds on scalability, concerns about the other two
Proposed solution • Two branch solution: • Threshold secret sharing • Secret share updates • Intrusion-tolerant: works with < K-1 adversarial nodes in the neighborhood • Availability: experiments show high availability, even with high mobility • Scalable: all nodes provide security services
Design Challenges • Users of MANETs demand security anywhere, anytime. • Volatile nature of MANETs: mobility of agents, frequent joins/leaves, node failures, channel errors. • Attractive to attackers (air as transmission medium).
Intrusion model • Case #1: • The intruder cannot get the secret key of an entity in time less than the secret key update. • All other information freely accessible. • Case #2: • The intruder can get the secret key… • …but cannot forge the entity ID (intrusion detection mechanisms exist). • We discuss only case #1!
Architecture - Preliminaries • System key pair: RSA(PK,SK) • Each entity maintains: • Unique ID ui • Key pair RSA(pki,ski) • Certificate certi={ui,pki,Tsign,Texpire} • Secret share (of SK) Pui • Certificate revocation list CRL
Architecture - Services • Certification service requests service responses with SKi An entity requests certification services from its neighbors. Each neighbor computes SKi from Pui and sends it back. Once the entity has >K SKs, signs its certificate with system key. 3 1 2 3 1 2
Architecture - Services • Secret share dealing • Initially, secret shares are distributed by a trusted central authority. • Once K secret shares are out there, new shares can be produced without a central authority. • Secret share updates • It’s a secret! • Explicit certificate revocation • If a cert is considered compromised, a counter-cert is flooded over the network.
Protocol – Background • Secret polynomial • SK={d,n}, polynomial of degree K-1: • Secret shares • ≥K entities can produce d (Langrage interpolation): • But in this way, the secret d can be revealed! (Langrage coefficients)
Protocol – Certification • Multi-signature protocol: • The entity sends certificate M to be signed. • Its neighbors sign it with SKi and send back the partially signed certificate . • The entity constructs , which is . • Using K-bounded coalition offsetting, acquires which is the signed certificate. • Note: the secret d has not been revealed!
Protocol – Secret share dealing • Systemwide SK={d,n} • Secret d, secret share of entity ui: • Self-initialization • If already K shares exist in the neighborhood of … • Complete shuffling scheme (using nonces)
Protocol – Secret share update • Initially: version 1, ID 0 • At each update: version++ • Self-initialization protocol for new version propagation • In case of version conflicts, lowest ID wins
Evaluation • Real world evaluation: UNIX RSA, cert vs key size (K=5)Cert vs K (key=1024bits) SPEC 20.5 SPEC 12.1 SPEC 1.37
Evaluation • Simulations: NS2
Evaluation • Simulations: NS2
Evaluation • Simulations: NS2
Q&A, round 1 • Why certificates? • Standard solution, only anywhere, anytime needs solving • Why threshold secret sharing? • Fits well with MANETs: “1 out of N”, “N out of N” • Why secret share updates? • The MANET will be compromised, SK not easy to change
Q&A, round 1 • What about DoS? • Compromised nodes offer false partial certificates • The answer: Verifiable Secret Sharing • What about <K neighbors? • Retry somewhere, sometime! • What about bookkeeping? (Cert Revoc Lists) • Implicit revocation helps keep short lists • In any case: 128-256kb/counter-cert and N<1000 but Pr{compromise}<<1
Q&A, round 2 • Hit me!