本文關(guān)鍵詞：智能交通燈系統(tǒng)中霧計算適用的車輛信息安全采集協(xié)議研究　出處：《華東師范大學》2017年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 智能交通系統(tǒng) 車載自組織網(wǎng)絡 交通燈控制 謎題

【摘要】：近年來,隨著社會的發(fā)展,車輛數(shù)目不斷增加,這使得交通擁堵成為了一個全球性問題。尤其在大城市里,出行高峰時段的交通擁堵已成為社會常態(tài)�！み@種問題不僅會給出行的人帶來經(jīng)濟損失和時間延誤,而且還會給我們賴以生存的環(huán)境帶來污染和資源浪費。在現(xiàn)階段,來自各國的科研學者們已對此問題投入了大量的精力,致力于改善交通擁堵狀況,進而提高交通運輸效率。設計智能交通系統(tǒng)的目的就是為了緩解交通擁堵并提高交通效率,而交通燈控制系統(tǒng)是其中的重要組成部分。智能交通燈控制系統(tǒng)對城市交通的影響巨大。它通常是利用智能交通系統(tǒng)中的無線網(wǎng)絡和傳感器對交通信息進行收集,然后利用計算服務對數(shù)據(jù)進行分析從而制定相應的信號策略。然而,這種方式因為結(jié)構(gòu)特性的原因而存在著缺陷,因此使得現(xiàn)存的智能交通燈控制系統(tǒng)面臨著一些挑戰(zhàn),例如如何避免路邊傳感器的大量部署,如何抵抗惡意車輛的攻擊以及怎樣避免單點失效等。為了能夠處理這些挑戰(zhàn),我們提出了兩個基于車載自組織網(wǎng)絡環(huán)境的霧計算適用智能交通燈安全控制方案,它們的安全性分別依賴于基于CDH問題的謎題難度和基于哈希碰撞問題的謎題難度。本文提出的兩個方案均假設以交通燈作為霧計算設備,第一個方案是近期的一個用于抵抗拒絕服務攻擊方案的簡單擴展。在這個方案里,由一個交通燈產(chǎn)生一些擁有指定難度的基于CDH問題的謎題,然后通過基于位置加密的方式將這些謎題廣播給附近的車輛。我們根據(jù)霧設備的特性表明了當車輛密度很高時這個方案將會是低效的。第二個方案是更加高效的并且是對霧設備友好的。一個交通燈只需要廣播一個使用位置加密的基于哈希碰撞問題的謎題給附近車輛。這樣即使車輛密度很高,交通燈仍然可以高效地對車輛進行有效性驗證。
[Abstract]:In recent years, with the development of society, the number of vehicles has been increasing, which makes traffic congestion become a global problem, especially in big cities. Traffic jams during rush hours have become the norm in society. This problem will not only bring economic loss and time delay to people who travel. And it will also bring pollution and waste of resources to the environment on which we live. At this stage, researchers from all over the world have devoted a lot of attention to this problem, committed to improve traffic congestion. It is designed to alleviate traffic congestion and improve traffic efficiency. Traffic light control system is an important part of it. Intelligent traffic light control system has a great impact on urban traffic. It usually uses wireless network and sensors in intelligent transportation system to collect traffic information. . Then the data are analyzed by computing service to make the corresponding signal strategy. However, there are some defects in this method because of the structural characteristics. Therefore, the existing intelligent traffic light control systems face some challenges, such as how to avoid the deployment of a large number of roadside sensors. In order to deal with these challenges, we propose two intelligent traffic light safety control schemes for fog computing based on vehicle-borne ad hoc network environment. Their security depends on the puzzle difficulty based on CDH problem and the puzzle difficulty based on hash collision problem respectively. The two schemes proposed in this paper assume that traffic lights are used as fog computing equipment. The first is a recent simple extension to a denial-of-service attack scheme in which a traffic light creates a puzzle with a specified difficulty based on the CDH problem. Then we broadcast these puzzles to nearby vehicles based on location encryption. According to the characteristics of fog equipment, we show that this scheme will be inefficient when vehicle density is high. The second scheme is more efficient. And it's fog-friendly. A traffic light only needs to broadcast a location-encrypted riddle based on the hash collision problem to a nearby vehicle, even if the density of the vehicle is high. Traffic lights can still efficiently verify the effectiveness of vehicles.
【學位授予單位】：華東師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN918;U495

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