摘要翻译：
便携式无线计算和通信设备的普遍存在刺激了恶意代码（无线蠕虫）的出现，这些代码能够在空间邻近的设备之间传播。当蠕虫在设备间移动时，它们可能会在设备间机会传播，因此人类的移动模式将对流行病的传播产生影响。我们在本文中讨论的场景是来自具有短距离通信范围的快速接触式无线设备的邻近攻击，如支持蓝牙的智能手机。介绍了一个基于个体的移动设备模型，研究了群体特征和设备行为对暴发动力学的影响。我们通过大量的模拟表明，在上述场景中，只要接触率一致地从底层移动性模型导出，所得到的大规模活动流行病模型仍然适用。该模型给出了有用的解析表达式，据此可以开发和测试更精细的蠕虫传播模拟。
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英文标题：
《The Opportunistic Transmission of Wireless Worms between Mobile Devices》
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作者：
C. J. Rhodes and M. Nekovee
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最新提交年份：
2008
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Networking and Internet Architecture        网络和因特网体系结构
分类描述：Covers all aspects of computer communication networks, including network architecture and design, network protocols, and internetwork standards (like TCP/IP). Also includes topics, such as web caching, that are directly relevant to Internet architecture and performance. Roughly includes all of ACM Subject Class C.2 except C.2.4, which is more likely to have Distributed, Parallel, and Cluster Computing as the primary subject area.
涵盖计算机通信网络的所有方面，包括网络体系结构和设计、网络协议和网络间标准（如TCP/IP）。还包括与Internet体系结构和性能直接相关的主题，如web缓存。大致包括除C.2.4以外的所有ACM主题类C.2，后者更有可能将分布式、并行和集群计算作为主要主题领域。
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Computer Science        计算机科学
二级分类：Cryptography and Security        密码学与安全
分类描述：Covers all areas of cryptography and security including authentication, public key cryptosytems, proof-carrying code, etc. Roughly includes material in ACM Subject Classes D.4.6 and E.3.
涵盖密码学和安全的所有领域，包括认证、公钥密码系统、携带证明的代码等。大致包括ACM主题课程D.4.6和E.3中的材料。
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英文摘要：
  The ubiquity of portable wireless-enabled computing and communications devices has stimulated the emergence of malicious codes (wireless worms) that are capable of spreading between spatially proximal devices. The potential exists for worms to be opportunistically transmitted between devices as they move around, so human mobility patterns will have an impact on epidemic spread. The scenario we address in this paper is proximity attacks from fleetingly in-contact wireless devices with short-range communication range, such as Bluetooth-enabled smart phones. An individual-based model of mobile devices is introduced and the effect of population characteristics and device behaviour on the outbreak dynamics is investigated. We show through extensive simulations that in the above scenario the resulting mass-action epidemic models remain applicable provided the contact rate is derived consistently from the underlying mobility model. The model gives useful analytical expressions against which more refined simulations of worm spread can be developed and tested.
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PDF链接：
https://arxiv.org/pdf/802.2685