IDFE:面向物联网设备识别的指纹深度提取方法

TP391; 传统物联网设备指纹提取方法通常将流量中的隐私数据用于生成设备指纹并且采用手工设计特征的方式,在形成安全隐患的同时限制了模型的性能.针对上述问题,提出一种基于设备行为的物联网设备指纹深度提取方法(IoT device deep fingerprint extraction,IDFE).IDFE将网络流量pcap文件划分为多个会话(sessions),并提取非隐私信息构建会话信息矩阵,设计了会话信息矩阵不同信息序列之间的依赖关系和会话数据包之间的时序依赖关系建模方法和融合方法,利用设计的全卷积Transformer提取融合后的会话特征矩阵中设备行为特征并生成设备指纹.在UNSW和Yo...

Full description

Saved in:
Bibliographic Details
Published in计算机工程与应用 Vol. 60; no. 17; pp. 117 - 128
Main Authors 唐跃中, 卢士达, 钱李烽, 位雪银, 顾荣斌, 黄君, 李静
Format Journal Article
LanguageChinese
Published 国网上海市电力公司,上海 200122%南京航空航天大学 计算机科学与技术学院/人工智能学院,南京 211106%国网上海市电力公司 信息通信公司,上海 200072 01.09.2024
Subjects
behavior features
安全隐患
信息融合
information fusion
device fingerprint
IoT devices
设备指纹
security risks
物联网设备
行为特征
Online AccessGet full text
ISSN1002-8331
DOI10.3778/j.issn.1002-8331.2306-0161

Cover

Abstract TP391; 传统物联网设备指纹提取方法通常将流量中的隐私数据用于生成设备指纹并且采用手工设计特征的方式,在形成安全隐患的同时限制了模型的性能.针对上述问题,提出一种基于设备行为的物联网设备指纹深度提取方法(IoT device deep fingerprint extraction,IDFE).IDFE将网络流量pcap文件划分为多个会话(sessions),并提取非隐私信息构建会话信息矩阵,设计了会话信息矩阵不同信息序列之间的依赖关系和会话数据包之间的时序依赖关系建模方法和融合方法,利用设计的全卷积Transformer提取融合后的会话特征矩阵中设备行为特征并生成设备指纹.在UNSW和YourThings两个公开数据集上进行了广泛的实验,验证了该方法的有效性.
AbstractList TP391; 传统物联网设备指纹提取方法通常将流量中的隐私数据用于生成设备指纹并且采用手工设计特征的方式,在形成安全隐患的同时限制了模型的性能.针对上述问题,提出一种基于设备行为的物联网设备指纹深度提取方法(IoT device deep fingerprint extraction,IDFE).IDFE将网络流量pcap文件划分为多个会话(sessions),并提取非隐私信息构建会话信息矩阵,设计了会话信息矩阵不同信息序列之间的依赖关系和会话数据包之间的时序依赖关系建模方法和融合方法,利用设计的全卷积Transformer提取融合后的会话特征矩阵中设备行为特征并生成设备指纹.在UNSW和YourThings两个公开数据集上进行了广泛的实验,验证了该方法的有效性.
Abstract_FL Traditional IoT device fingerprint extraction methods usually use the private data in traffic to generate device fingerprints and adopt the method of manually designing features.It also limits the performance of the model while creating security risks.Aiming at the above problems,the IoT device deep fingerprint extraction(IDFE)method based on network traffic is proposed.IDFE first divides the network traffic pcap file into multiple sessions,and extracts the non-private information to build the session information matrix.Then it designs the modeling method and fusion method of the depen-dency between the different information sequences of the session information matrix and the temporal dependency between the session data packets.Finally,the designed full convolution transformer is used to extract the device behavior features in the fused session feature matrix and generate the device fingerprint.
Author 卢士达
黄君
位雪银
李静
唐跃中
钱李烽
顾荣斌
AuthorAffiliation 国网上海市电力公司,上海 200122%南京航空航天大学 计算机科学与技术学院/人工智能学院,南京 211106%国网上海市电力公司 信息通信公司,上海 200072
AuthorAffiliation_xml – name: 国网上海市电力公司,上海 200122%南京航空航天大学 计算机科学与技术学院/人工智能学院,南京 211106%国网上海市电力公司 信息通信公司,上海 200072
Author_FL LU Shida
WEI Xueyin
QIAN Lifeng
HUANG Jun
LI Jing
GU Rongbin
TANG Yuezhong
Author_FL_xml – sequence: 1
  fullname: TANG Yuezhong
– sequence: 2
  fullname: LU Shida
– sequence: 3
  fullname: QIAN Lifeng
– sequence: 4
  fullname: WEI Xueyin
– sequence: 5
  fullname: GU Rongbin
– sequence: 6
  fullname: HUANG Jun
– sequence: 7
  fullname: LI Jing
Author_xml – sequence: 1
  fullname: 唐跃中
– sequence: 2
  fullname: 卢士达
– sequence: 3
  fullname: 钱李烽
– sequence: 4
  fullname: 位雪银
– sequence: 5
  fullname: 顾荣斌
– sequence: 6
  fullname: 黄君
– sequence: 7
  fullname: 李静
BookMark eNo9jbtKA0EUQKeIYIz5CTuLXe-d2ddoJTHRQMBG6zCP3ZBFNuAgsqUgRkFIAppCsBERRFDEQhLQv9mHf6GgWB04xTlLpJIMkpCQFQSb-X6wFtt9YxIbAagVMIY2ZeBZgB5WSPXfLpK6MX0JLjLf9Rmvko32Vqu5_nV7l40nxcVjeXJVfEzK58_sfli-nGXnT8XNaX45LOaz_P01mz_ko3E2mubTWf52vUwWInFgwvofa2S_1dxr7Fid3e12Y7NjGQQPLepw6WrOpeI0cJQOPSoAItcNUQQChdQ68IBryalkQiFHnylGwdGKCkkpq5HV3-6xSCKR9Lrx4Ogw-Tl2YxP3VJqmFKiDPiCyb7-uYR8
ClassificationCodes TP391
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.3778/j.issn.1002-8331.2306-0161
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL IDFE:Fingerprint Deep Extraction Method for IoT Device Identification
EndPage 128
ExternalDocumentID jsjgcyyy202417011
GrantInformation_xml – fundername: 国家电网有限公司总部科技项目
  funderid: (5108-202218280A-2-152-XG)
GroupedDBID -0Y
2B.
4A8
5XA
5XJ
92H
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CUBFJ
CW9
PSX
TCJ
TGT
U1G
U5S
ID FETCH-LOGICAL-s1061-249b5d99bc9284cde62a00f55e1a8a1abdd8609db92b3ac19173c3204dc2ab223
ISSN 1002-8331
IngestDate Thu May 29 04:10:55 EDT 2025
IsPeerReviewed false
IsScholarly false
Issue 17
Keywords behavior features
安全隐患
信息融合
information fusion
device fingerprint
IoT devices
设备指纹
security risks
物联网设备
行为特征
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1061-249b5d99bc9284cde62a00f55e1a8a1abdd8609db92b3ac19173c3204dc2ab223
PageCount 12
ParticipantIDs wanfang_journals_jsjgcyyy202417011
PublicationCentury 2000
PublicationDate 2024-09-01
PublicationDateYYYYMMDD 2024-09-01
PublicationDate_xml – month: 09
  year: 2024
  text: 2024-09-01
  day: 01
PublicationDecade 2020
PublicationTitle 计算机工程与应用
PublicationTitle_FL Computer Engineering and Applications
PublicationYear 2024
Publisher 国网上海市电力公司,上海 200122%南京航空航天大学 计算机科学与技术学院/人工智能学院,南京 211106%国网上海市电力公司 信息通信公司,上海 200072
Publisher_xml – name: 国网上海市电力公司,上海 200122%南京航空航天大学 计算机科学与技术学院/人工智能学院,南京 211106%国网上海市电力公司 信息通信公司,上海 200072
SSID ssib051375739
ssib001102935
ssj0000561668
ssib023646291
ssib057620132
Score 1.9729553
Snippet TP391; 传统物联网设备指纹提取方法通常将流量中的隐私数据用于生成设备指纹并且采用手工设计特征的方式,在形成安全隐患的同时限制了模型的性能.针对上述问题,提出一种基于设备行为的物联网设备指纹深度提取方法(IoT device deep fingerprint...
SourceID wanfang
SourceType Aggregation Database
StartPage 117
Title IDFE:面向物联网设备识别的指纹深度提取方法
URI https://d.wanfangdata.com.cn/periodical/jsjgcyyy202417011
Volume 60
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxQxFB9qe9GD-InfFDF4KFsnmZl86CmzO0sV68UWeiubmd1KDyvY9tDeBLEKQlvQHgQvIoIIiniQFvS_2d36X_heJrszdlWqeBmyb34veR_ZzEtIXjzvCsQgJmoFtNJKRVYJwyavSGmiSkRFluL3gNlMTNN3-NRseGsumhsZu1ratbSybCbTtV-eK_kXrwIN_IqnZP_Cs4NKgQBl8C88wcPwPJCPb9bqCWBJooiqEc1IEhHlE0VJIohURCuSSIgViQqREtfsK0l0QuIEwRoiSWEpdSI5UiSUYwQrTSRwcSKrFgPsmsQKKTGUKYKBornF1LFdZIeCpcDTgQOS32_ZD4GdANoKCQUlLL6KtWGdQIzsK5AcJAlJDIXENZcrAk892IJrlQ5t-xK5ZeCYikyTVrK-gXRgNZRogjgpIGBDZvXiaExs0dYVl2oJ0YRQEWJjonPDA4SX105YONgclvd2K2CMrIUPcq20NZDVGdUDCnPqARFl1siIBRC76uwLMFYdrgFzQ1LGCIuctmjX0LqoanuBtAIL7BRo6QHF9gLsKXnBiqLBWHzij54SCFV0gC55iqNc0ndg6FoFBuyl0A-s7oT7yekc3zrhAmuwYcbqsHoTDD6lPneq_1dTT1j-urUBx38SaqPs9iBdenVgD_mitMxObZzQP0vo4oT83ov-eChKX33qfuUBJM2zHeyPTQIhpI1NsIXJQQt4EgPX9PIrCfblfl9cWlxIV1dXse_ixQn0kDfGhMD9KGO6Nn37bjHzgYmCKmY-eC0EZ0UarIgGIhJFAuAIYiDfJW111yBwyt3BYSdZnqIZxb72e6HtWcd2q9FeKIXlM8e8o24-Pa7zwfG4N7J274R3pJRl9aR3A4fJ699fve5sbvWevtt7-Lz3dWvvw7fOm_W9j487T973Xj7qPlvv7e50v3zq7L7tbmx2Nra72zvdzy9OebP1ZKY6VXF3xlSWcHGrwkJlokwpkyoIvNOsyVnD91tR1KQN2aANk2WS-yozipmgkeJqVZAGzA-zlDUMzJVOe6Pt--3mGW88SKO0adKMmqYMVRqaVgrxSlMKExnKDD3rXXaqz7tvwtL8kMPOHQR03jtcjE4XvNHlByvNizDXWTaXnJ9_ADU460g
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=IDFE%3A%E9%9D%A2%E5%90%91%E7%89%A9%E8%81%94%E7%BD%91%E8%AE%BE%E5%A4%87%E8%AF%86%E5%88%AB%E7%9A%84%E6%8C%87%E7%BA%B9%E6%B7%B1%E5%BA%A6%E6%8F%90%E5%8F%96%E6%96%B9%E6%B3%95&rft.jtitle=%E8%AE%A1%E7%AE%97%E6%9C%BA%E5%B7%A5%E7%A8%8B%E4%B8%8E%E5%BA%94%E7%94%A8&rft.au=%E5%94%90%E8%B7%83%E4%B8%AD&rft.au=%E5%8D%A2%E5%A3%AB%E8%BE%BE&rft.au=%E9%92%B1%E6%9D%8E%E7%83%BD&rft.au=%E4%BD%8D%E9%9B%AA%E9%93%B6&rft.date=2024-09-01&rft.pub=%E5%9B%BD%E7%BD%91%E4%B8%8A%E6%B5%B7%E5%B8%82%E7%94%B5%E5%8A%9B%E5%85%AC%E5%8F%B8%2C%E4%B8%8A%E6%B5%B7+200122%25%E5%8D%97%E4%BA%AC%E8%88%AA%E7%A9%BA%E8%88%AA%E5%A4%A9%E5%A4%A7%E5%AD%A6+%E8%AE%A1%E7%AE%97%E6%9C%BA%E7%A7%91%E5%AD%A6%E4%B8%8E%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2%2F%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%AD%A6%E9%99%A2%2C%E5%8D%97%E4%BA%AC+211106%25%E5%9B%BD%E7%BD%91%E4%B8%8A%E6%B5%B7%E5%B8%82%E7%94%B5%E5%8A%9B%E5%85%AC%E5%8F%B8+%E4%BF%A1%E6%81%AF%E9%80%9A%E4%BF%A1%E5%85%AC%E5%8F%B8%2C%E4%B8%8A%E6%B5%B7+200072&rft.issn=1002-8331&rft.volume=60&rft.issue=17&rft.spage=117&rft.epage=128&rft_id=info:doi/10.3778%2Fj.issn.1002-8331.2306-0161&rft.externalDocID=jsjgcyyy202417011
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjsjgcyyy%2Fjsjgcyyy.jpg