Reputation Aware Obfuscation for Mobile Opportunistic Networks
Reputation Aware Obfuscation for Mobile Opportunistic Networks
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DOI：
10.1109/tpds.2013.265
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发表时间：
2015
影响因子：
5.3
通讯作者：
M. Radenkovic;A. Benslimane;Derek McAuley
中科院分区：
文献类型：
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作者：
M. Radenkovic;A. Benslimane;Derek McAuley
当前移动的机会网络的匿名技术通常使用混淆算法将节点的身份隐藏在其他节点之后。这些算法不太适合稀疏和断开容易与大量的恶意节点和新的机会，自适应网络。因此，需要新的、机会主义的、自适应的完全本地化的机制来提高用户匿名性。提出了一种移动的机会网络中的信誉感知局部自适应混淆算法，该算法由两种互补技术组成：节点混淆行为的机会协作测试（OCOT）和多维自适应匿名化（AA）。OCOT-AA由显式和隐式声誉建立、复杂的图连接分析和混淆历史分析驱动。我们表明，OCOT-AA是非常有效的实现高水平的节点身份混淆和管理低延迟响应源和目的地之间的查询，同时使快速检测和避免恶意节点通常在实验持续时间内的一小部分时间。我们进行了大量的实验，比较OCOT-AA与其他几个竞争对手和基准协议，并表明它优于他们在一个月的现实生活中的GPS跟踪的一系列指标。为了更清楚地展示我们的提议，我们提出了新的指标，包括混淆路径的尽力最大长度和多样性、目的地真正匿名的源ID的实际百分比以及源和目的地之间的通信服务质量。
Current anonymity techniques for mobile opportunistic networks typically use obfuscation algorithms to hide node's identity behind other nodes. These algorithms are not well suited to sparse and disconnection prone networks with large number of malicious nodes and new opportunistic, adaptive. So, new, opportunistic, adaptive fully localized mechanisms are needed for improving user anonymity. This paper proposes reputation aware localized adaptive obfuscation for mobile opportunistic networks that comprises of two complementary techniques: opportunistic collaborative testing of nodes' obfuscation behaviour (OCOT) and multidimensional adaptive anonymisation (AA). OCOT-AA is driven by both explicit and implicit reputation building, complex graph connectivity analytics and obfuscation history analyses. We show that OCOT-AA is very efficient in terms of achieving high levels of node identity obfuscation and managing low delays for answering queries between sources and destinations while enabling fast detection and avoidance of malicious nodes typically within the fraction of time within the experiment duration. We perform extensive experiments to compare OCOT-AA with several other competitive and benchmark protocols and show that it outperforms them across a range of metrics over a one month real-life GPS trace. To demonstrate our proposal more clearly, we propose new metrics that include best effort biggest length and diversity of the obfuscation paths, the actual percentage of truly anonymised sources' IDs at the destinations and communication quality of service between source and destination.