'Honest nodes' diaporamas de présentation

Network Security: WLAN Security

Network Security: WLAN Security. Tuomas Aura. Outline. Wireless LAN technology Threats against WLANs Weak security mechanisms and WEP 802.1X, WPA, 802.11i, WPA2 WLAN mobility. Wireless LAN technology. Wireless LAN (WLAN) standards.

937 views • 67 slides

DSybil: Optimal Sybil-Resistance for Recommendation Systems

DSybil: Optimal Sybil-Resistance for Recommendation Systems. Ennan Zhai Peking University enzhai@pku.edu.cn. What is the Sybil Attack ?. Sybil Nodes. Honest Nodes. How about the Current Work ?. SybilGuard SybilLimit DSybil SumUp Approach using Puzzles.

493 views • 35 slides

SocialFilter: Introducing Social Trust to Collaborative Spam Mitigation

SocialFilter: Introducing Social Trust to Collaborative Spam Mitigation. Michael Sirivianos Telefonica Research Joint work with Kyungbaek Kim (UC Irvine) and Xiaowei Yang (Duke). Motivation. Spam is becoming increasingly sophisticated Millions of malicious email senders (bots)

351 views • 28 slides

SybilInfer: How to Win the Zombie Wars!

SybilInfer: How to Win the Zombie Wars!. Prateek Mittal, George Danezis ( MSRC Intern ) ( MSR Cambridge ). Motivation. Distributed Systems Security Byzantine Consensus Secure routing in DHTs Reputation Systems Assumption : bound on fraction of dishonest identities

503 views • 28 slides

Group Spreading: A Protocol for Provably Secure Distributed Name Service

Group Spreading: A Protocol for Provably Secure Distributed Name Service. Christian Scheideler Dept. of Computer Science Johns Hopkins University Joint work with Baruch Awerbuch. Name Service. Peer: entity with a unique identity, i.e. identified by (Name(p), IP(p))

376 views • 27 slides

Leveraging Social Networks to Defend against Sybil attacks

Leveraging Social Networks to Defend against Sybil attacks. Krishna Gummadi Networked Systems Research Group Max Planck Institute for Software Systems Germany. Sybil attack. Fundamental problem in distributed systems Attacker creates many fake identities (Sybils)

523 views • 23 slides

Leveraging Social Networks to Defend against Sybil attacks

Leveraging Social Networks to Defend against Sybil attacks. Krishna Gummadi Networked Systems Research Group Max Planck Institute for Software Systems Germany. Sybil attack. Fundamental problem in distributed systems Attacker creates many fake identities (Sybils)

502 views • 23 slides

Kanta MATSUURA (Institute of Industrial Science, The University of Tokyo)

Presentation at Scaling Bitcoin Workshop 2019 in Tel Aviv. 2018 ? 6 ? 25 ?. Proof-of-Verification for Proof-of-Work: Miners Must Verify the Signatures on Bitcoin Transactions. Kanta MATSUURA (Institute of Industrial Science, The University of Tokyo). Introduction. Resolution ? Day.

256 views • 23 slides

Robust Mixing for Structured Overlay Networks

337 views • 22 slides

BitCoin

157 views • 15 slides

DIGITAL MONEY

Bithitcoin ICO

97 views • 9 slides

A Judgment Mechanism for Key Revocation

A Judgment Mechanism for Key Revocation. Abstract In this paper we present a new key-revocation scheme for ad hoc network environments with the following characteristics: Distributed: Our scheme does not require a permanently available central authority.

89 views • 1 slides