物聯(lián)網(wǎng)安全與深度學(xué)習(xí)技術(shù)
定 價(jià):88 元
叢書名:物聯(lián)網(wǎng)在中國(guó)
- 作者:吳巍 等
- 出版時(shí)間:2022/6/1
- ISBN:9787121428913
- 出 版 社:電子工業(yè)出版社
- 中圖法分類:TP393.48
- 頁(yè)碼:204
- 紙張:
- 版次:01
- 開(kāi)本:16開(kāi)
本書從物聯(lián)網(wǎng)技術(shù)發(fā)展現(xiàn)狀、體系架構(gòu)及演進(jìn)趨勢(shì)入手,設(shè)計(jì)物聯(lián)網(wǎng)安全架構(gòu);在對(duì)物聯(lián)網(wǎng)典型安全事件進(jìn)行回顧的基礎(chǔ)上,梳理物聯(lián)網(wǎng)安全問(wèn)題分類,提煉安全威脅和安全需求,提出物聯(lián)網(wǎng)安全體系框架,引出物聯(lián)網(wǎng)身份安全的重要性;深入介紹物聯(lián)網(wǎng)安全認(rèn)證技術(shù),從傳統(tǒng)身份認(rèn)證機(jī)制、物聯(lián)網(wǎng)身份認(rèn)證方法入手,對(duì)基于生物特征的物聯(lián)網(wǎng)身份認(rèn)證方法和基于深度學(xué)習(xí)的聲紋識(shí)別技術(shù)進(jìn)行詳細(xì)描述;介紹了生物特征識(shí)別技術(shù)中能夠?qū)嵱没、商業(yè)化的深度學(xué)習(xí)算法,并對(duì)典型的深度學(xué)習(xí)框架和平臺(tái)進(jìn)行了分析。
吳巍,中國(guó)電子科技集團(tuán)有限公司第五十四研究所研究員,副總工程師,博士生導(dǎo)師,通信網(wǎng)信息傳輸與分發(fā)技術(shù)國(guó)家重點(diǎn)實(shí)驗(yàn)室主任,中國(guó)電子科技集團(tuán)公司首席科學(xué)家。長(zhǎng)期從事通信網(wǎng)技術(shù)研究與裝備研制工作,研究領(lǐng)域涉及通信網(wǎng)總體、組網(wǎng)與信息分發(fā)、路由交換、通信網(wǎng)絡(luò)安全技術(shù)等。先后主持完成了多項(xiàng)國(guó)家重大通信與信息系統(tǒng)科研與工程項(xiàng)目,獲國(guó)家科技進(jìn)步二等獎(jiǎng)1項(xiàng),省部級(jí)一等獎(jiǎng)5項(xiàng)、二等獎(jiǎng)6項(xiàng)。發(fā)表論文50余篇,獲發(fā)明專利授權(quán)19項(xiàng),出版專著3部。1993年獲國(guó)防科工委《光華科技基金會(huì)》二等獎(jiǎng),1996年享受國(guó)務(wù)院特殊津,2002年獲國(guó)防科工委"有突出貢獻(xiàn)中青年專家”稱號(hào)。
第1 章 物聯(lián)網(wǎng)技術(shù)基礎(chǔ)···········································································.001
1.1 物聯(lián)網(wǎng)發(fā)展現(xiàn)狀··········································································.001
1.1.1 美國(guó)·················································································.001
1.1.2 歐盟·················································································.002
1.1.3 日本·················································································.002
1.1.4 韓國(guó)·················································································.003
1.1.5 中國(guó)·················································································.003
1.2 物聯(lián)網(wǎng)體系架構(gòu)··········································································.004
1.2.1 感知層·············································································.005
1.2.2 網(wǎng)絡(luò)層·············································································.005
1.2.3 應(yīng)用層·············································································.006
1.3 物聯(lián)網(wǎng)信息的三大特性·······························································.007
1.3.1 高敏感性··········································································.007
1.3.2 高可靠性··········································································.007
1.3.3 高關(guān)聯(lián)性··········································································.007
1.4 物聯(lián)網(wǎng)體系架構(gòu)的發(fā)展·······························································.008
1.5 小結(jié)·······························································································011
第2 章 物聯(lián)網(wǎng)安全架構(gòu)··········································································.012
2.1 引言·····························································································.012
2.2 物聯(lián)網(wǎng)典型安全事件···································································.012
2.2.1 事件回顧··········································································.012
2.2.2 事件分析··········································································.016
2.3 物聯(lián)網(wǎng)安全問(wèn)題分類···································································.017
2.3.1 互聯(lián)網(wǎng)引入的安全問(wèn)題···················································.017
2.3.2 物聯(lián)網(wǎng)場(chǎng)景下的互聯(lián)網(wǎng)“安全”問(wèn)題····························.017
2.3.3 物聯(lián)網(wǎng)引入的安全問(wèn)題···················································.017
2.3.4 物聯(lián)網(wǎng)自身的安全問(wèn)題···················································.018
2.4 物聯(lián)網(wǎng)安全威脅分析···································································.018
2.4.1 感知層安全威脅······························································.019
2.4.2 網(wǎng)絡(luò)層安全威脅······························································.020
2.4.3 應(yīng)用層安全威脅······························································.022
2.5 物聯(lián)網(wǎng)安全需求分析···································································.023
2.5.1 縱橫聯(lián)動(dòng)的一體化安全保障支撐····································.024
2.5.2 感知層傳感器設(shè)備的身份鑒別與數(shù)據(jù)防護(hù)····················.026
2.5.3 網(wǎng)絡(luò)層異構(gòu)網(wǎng)絡(luò)規(guī);踩ヂ(lián)與全網(wǎng)統(tǒng)一監(jiān)管·········.027
2.5.4 應(yīng)用層數(shù)據(jù)多域安全共享···············································.028
2.6 物聯(lián)網(wǎng)安全體系框架···································································.029
2.6.1 技術(shù)體系··········································································.029
2.6.2 物聯(lián)網(wǎng)系統(tǒng)的安全信息流···············································.036
2.7 小結(jié)·····························································································.037
第3 章 物聯(lián)網(wǎng)安全認(rèn)證技術(shù)···································································.039
3.1 引言·····························································································.039
3.2 身份認(rèn)證方式··············································································.040
3.2.1 基于秘密信息的認(rèn)證方式···············································.040
3.2.2 基于信物的認(rèn)證方式·······················································.041
3.2.3 基于密鑰的認(rèn)證方式·······················································.041
3.2.4 基于生物特征的認(rèn)證方式···············································.042
3.3 物聯(lián)網(wǎng)身份認(rèn)證的特點(diǎn)·······························································.043
3.3.1 輕量級(jí)·············································································.043
3.3.2 非對(duì)稱·············································································.043
3.3.3 復(fù)雜性·············································································.043
3.4 幾種物聯(lián)網(wǎng)身份認(rèn)證方式···························································.044
3.4.1 基于RFID 的物聯(lián)網(wǎng)身份認(rèn)證方式·································.044
3.4.2 基于傳感網(wǎng)絡(luò)的物聯(lián)網(wǎng)認(rèn)證方式····································.044
3.4.3 基于藍(lán)牙的感知網(wǎng)絡(luò)認(rèn)證方式·······································.045
3.4.4 基于生物特征識(shí)別的認(rèn)證方式·······································.045
3.5 基于生物特征的物聯(lián)網(wǎng)身份認(rèn)證方法········································.047
3.5.1 生物特征身份認(rèn)證流程···················································.047
3.5.2 指紋識(shí)別··········································································.049
3.5.3 人臉識(shí)別··········································································.049
3.5.4 虹膜識(shí)別··········································································.051
3.5.5 指靜脈識(shí)別······································································.051
3.5.6 聲紋識(shí)別··········································································.052
3.6 基于深度學(xué)習(xí)的聲紋識(shí)別技術(shù)····················································.053
3.6.1 概述·················································································.053
3.6.2 聲紋識(shí)別的工作原理·······················································.054
3.6.3 聲紋識(shí)別的流程······························································.055
3.6.4 聲紋識(shí)別技術(shù)的三次突破···············································.059
3.6.5 基于深度學(xué)習(xí)的典型聲紋識(shí)別算法································.060
3.6.6 聲紋識(shí)別應(yīng)用趨勢(shì)··························································.063
3.7 小結(jié)·····························································································.066
本章參考文獻(xiàn)······················································································.066
第4 章 卷積神經(jīng)網(wǎng)絡(luò)技術(shù)······································································.068
4.1 卷積運(yùn)算······················································································.069
4.2 動(dòng)機(jī)·····························································································.072
4.3 池化·····························································································.077
4.4 將卷積與池化作為一個(gè)無(wú)限強(qiáng)的先驗(yàn)········································.082
4.5 基本卷積函數(shù)的變體···································································.083
4.6 結(jié)構(gòu)化輸出··················································································.093
4.7 數(shù)據(jù)類型······················································································.094
4.8 高效的卷積算法··········································································.095
4.9 隨機(jī)或無(wú)監(jiān)督的特征···································································.096
4.10 小結(jié)···························································································.097
本章參考文獻(xiàn)······················································································.098
第5 章 序列建模:循環(huán)和遞歸網(wǎng)絡(luò)·······················································.101
5.1 展開(kāi)計(jì)算圖··················································································.102
5.2 RNN·····························································································.105
5.2.1 Teacher Forcing 和輸出循環(huán)網(wǎng)絡(luò)····································.109
5.2.2 計(jì)算RNN 的梯度······························································111
5.2.3 作為有向圖模型的循環(huán)網(wǎng)絡(luò)·············································113
5.2.4 基于上下文的RNN 序列建!ぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁ117
5.3 雙向RNN ······················································································119
5.4 基于編碼-解碼的序列到序列架構(gòu)···············································.121
5.5 深度RNN ····················································································.123
5.6 遞歸神經(jīng)網(wǎng)絡(luò)··············································································.124
5.7 長(zhǎng)期依賴的挑戰(zhàn)··········································································.126
5.8 回聲狀態(tài)網(wǎng)絡(luò)··············································································.128
5.9 滲漏單元和其他多時(shí)間尺度的策略············································.130
5.9.1 時(shí)間維度的跳躍連接·······················································.130
5.9.2 滲漏單元和一系列時(shí)間尺度···········································.131
5.9.3 刪除連接··········································································.131
5.10 長(zhǎng)短期記憶和其他門控RNN ····················································.132
5.10.1 長(zhǎng)短期記憶····································································.133
5.10.2 其他門控RNN·······························································.135
5.11 優(yōu)化長(zhǎng)期依賴············································································.136
5.11.1 截?cái)嗵荻取ぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁ?136
5.11.2 引導(dǎo)信息流的正則化·····················································.138
5.12 外顯記憶····················································································.139
5.13 小結(jié)···························································································.142
本章參考文獻(xiàn)······················································································.142
第6 章 深度學(xué)習(xí)框架和平臺(tái)的分析與對(duì)比············································.148
6.1 概述·····························································································.148
6.2 深度學(xué)習(xí)框架··············································································.151
6.2.1 TensorFlow·······································································.152
6.2.2 Caffe ················································································.156
6.2.3 PyTorch ············································································.162
6.2.4 CNTK···············································································.164
6.2.5 MXNet ·············································································.166
6.3 深度學(xué)習(xí)框架的分析與對(duì)比·······················································.169
6.3.1 總體分析··········································································.169
6.3.2 深度學(xué)習(xí)框架的對(duì)比·······················································.170
6.3.3 深度學(xué)習(xí)框架對(duì)硬件的利用情況····································.178
6.4 深度學(xué)習(xí)平臺(tái)··············································································.180
6.4.1 華為深度學(xué)習(xí)服務(wù)DLS ··················································.180
6.4.2 阿里深度學(xué)習(xí)開(kāi)發(fā)平臺(tái)X-DeepLearning ························.184
6.4.3 百度深度學(xué)習(xí)開(kāi)發(fā)平臺(tái)PAddle·······································.189
6.4.4 幾種平臺(tái)的對(duì)比······························································.191
6.5 小結(jié)·····························································································.192