Name
Abstract | ||
|---|---|---|
Mobile Healthcare Networks (MHN) continuously collect the patients' health data sensed by wearable devices, and analyze the collected data pre-processed by servers combined with medical histories, such that disease diagnosis and treatment are improved, and the heavy burden on the existing health services is released. However, the network is vulnerable to Sybil attacks, which would degrade network performance, disrupt proceedings, manipulate data or cheat others maliciously. What's more, the user is reluctant to leak identity privacy, so the identity privacy preserving makes Sybil defenses more difficult. One of the best choices is mutually authenticating each other with no identity information involved. Thus, we propose a fine-grained authentication scheme based on Attribute-Based Signature (ABS) using lattice assumption, where a signer is authorized by an attribute set instead of single identity string. This ABS scheme uses Fiat-Shamir framework and supports flexible threshold signature predicates. Moreover, to anonymously guarantee integrity and availability of health data in MHN, we design an anonymous anti-Sybil attack protocol based on our ABS scheme, so that Sybil attacks are prevented. As there is no linkability between identities and services, the users' identity privacy is protected. Finally, we have analyzed the security and simulated the running time for our proposed ABS scheme. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/Trustcom/BigDataSE/ICESS.2017.298 | 2017 16TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS / 11TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING / 14TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS |
Field | DocType | ISSN |
Health care,Authentication,Computer security,Computer science,Server,Computer network,Sybil attack,Identity privacy,Wearable technology,Analytics,Network performance | Conference | 2324-9013 |
ISBN | Citations | PageRank |
9781509049059 | 0 | 0.34 |
References | Authors | |
11 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Zhang | 1 | 11 | 3.57 |
| Zhang Xiafei | 2 | 0 | 0.34 |
| xiaoqiang sun | 3 | 30 | 5.09 |
| Joseph K. Liu | 4 | 1134 | 67.24 |
| Yu Jianping | 5 | 0 | 0.34 |
| Zoe L. Jiang | 6 | 7 | 1.82 |
| P Zhang | 7 | 2 | 1.06 |
| X Zhang | 8 | 27 | 5.29 |
| X. Sun | 9 | 60 | 9.72 |
| Joseph K. Liu | 10 | 535 | 48.58 |
| J Yu | 11 | 4 | 1.76 |
| ZL Jiang | 12 | 23 | 1.61 |