A delay step based geolocation data verification method

Zhang Xiaoming; Wang Zhanfeng; Wei Xianglin; Zhuo Zihan; Hu Chao

doi:10.1007/978-3-030-00009-7_39

A delay step based geolocation data verification method

Zhang Xiaoming
, Wang Zhanfeng^*
, Wei Xianglin
, Zhuo Zihan
, Hu Chao

^*Corresponding author for this work

National Computer Network Emergency Response Technical Team/Coordination Center of China
Southeast University, Nanjing
Nanjing Telecommunication Technology Research Institute
Peoples Liberation Army Engineering University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

IP Geolocation technology is widely used in network security, especially in attack tracing, cyberspace security situation analysis and display, which has attracked attentions both in academic research and commercial applications. At present, there are many commercial or open source IP geolocation databases on the Internet. These databases have different geolocation accuracy, can not provide consistent positioning results, and seriously affect the user’s confidence in these databases. To create an accurate geolocation database, a delay step based geolocation data verification method was proposed to find suspicious data in the geolocation database, and then an adaptive localization algorithm is introduced to verify the questionable data and improve the accuracy of geolocation database. Experiments show that by this method nearly half of the geolocation data can be verified, and results on the test data show the proposed method can efficiently improve the geolocation database.

Original language	English
Title of host publication	Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers
Editors	Xingming Sun, Zhaoqing Pan, Elisa Bertino
Publisher	Springer Verlag
Pages	426-438
Number of pages	13
ISBN (Print)	9783030000080
DOIs	https://doi.org/10.1007/978-3-030-00009-7_39
State	Published - 2018
Externally published	Yes
Event	4th International Conference on Cloud Computing andSecurity, ICCCS 2018 - Haikou, China Duration: 8 Jun 2018 → 10 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11064 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Cloud Computing andSecurity, ICCCS 2018
Country/Territory	China
City	Haikou
Period	8/06/18 → 10/06/18

Keywords

Attack tracing
IP geolocation
Landmark
Network measurement

Access to Document

10.1007/978-3-030-00009-7_39

Cite this

Xiaoming, Z., Zhanfeng, W., Xianglin, W., Zihan, Z., & Chao, H. (2018). A delay step based geolocation data verification method. In X. Sun, Z. Pan, & E. Bertino (Eds.), Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers (pp. 426-438). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11064 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00009-7_39

Xiaoming, Zhang ; Zhanfeng, Wang ; Xianglin, Wei et al. / A delay step based geolocation data verification method. Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. editor / Xingming Sun ; Zhaoqing Pan ; Elisa Bertino. Springer Verlag, 2018. pp. 426-438 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{2184e508080a42a989c30d94935d5bf8,

title = "A delay step based geolocation data verification method",

abstract = "IP Geolocation technology is widely used in network security, especially in attack tracing, cyberspace security situation analysis and display, which has attracked attentions both in academic research and commercial applications. At present, there are many commercial or open source IP geolocation databases on the Internet. These databases have different geolocation accuracy, can not provide consistent positioning results, and seriously affect the user{\textquoteright}s confidence in these databases. To create an accurate geolocation database, a delay step based geolocation data verification method was proposed to find suspicious data in the geolocation database, and then an adaptive localization algorithm is introduced to verify the questionable data and improve the accuracy of geolocation database. Experiments show that by this method nearly half of the geolocation data can be verified, and results on the test data show the proposed method can efficiently improve the geolocation database.",

keywords = "Attack tracing, IP geolocation, Landmark, Network measurement",

author = "Zhang Xiaoming and Wang Zhanfeng and Wei Xianglin and Zhuo Zihan and Hu Chao",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 4th International Conference on Cloud Computing andSecurity, ICCCS 2018 ; Conference date: 08-06-2018 Through 10-06-2018",

year = "2018",

doi = "10.1007/978-3-030-00009-7\_39",

language = "英语",

isbn = "9783030000080",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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}

Xiaoming, Z, Zhanfeng, W, Xianglin, W, Zihan, Z & Chao, H 2018, A delay step based geolocation data verification method. in X Sun, Z Pan & E Bertino (eds), Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11064 LNCS, Springer Verlag, pp. 426-438, 4th International Conference on Cloud Computing andSecurity, ICCCS 2018, Haikou, China, 8/06/18. https://doi.org/10.1007/978-3-030-00009-7_39

A delay step based geolocation data verification method. / Xiaoming, Zhang; Zhanfeng, Wang; Xianglin, Wei et al.
Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. ed. / Xingming Sun; Zhaoqing Pan; Elisa Bertino. Springer Verlag, 2018. p. 426-438 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11064 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A delay step based geolocation data verification method

AU - Xiaoming, Zhang

AU - Zhanfeng, Wang

AU - Xianglin, Wei

AU - Zihan, Zhuo

AU - Chao, Hu

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - IP Geolocation technology is widely used in network security, especially in attack tracing, cyberspace security situation analysis and display, which has attracked attentions both in academic research and commercial applications. At present, there are many commercial or open source IP geolocation databases on the Internet. These databases have different geolocation accuracy, can not provide consistent positioning results, and seriously affect the user’s confidence in these databases. To create an accurate geolocation database, a delay step based geolocation data verification method was proposed to find suspicious data in the geolocation database, and then an adaptive localization algorithm is introduced to verify the questionable data and improve the accuracy of geolocation database. Experiments show that by this method nearly half of the geolocation data can be verified, and results on the test data show the proposed method can efficiently improve the geolocation database.

AB - IP Geolocation technology is widely used in network security, especially in attack tracing, cyberspace security situation analysis and display, which has attracked attentions both in academic research and commercial applications. At present, there are many commercial or open source IP geolocation databases on the Internet. These databases have different geolocation accuracy, can not provide consistent positioning results, and seriously affect the user’s confidence in these databases. To create an accurate geolocation database, a delay step based geolocation data verification method was proposed to find suspicious data in the geolocation database, and then an adaptive localization algorithm is introduced to verify the questionable data and improve the accuracy of geolocation database. Experiments show that by this method nearly half of the geolocation data can be verified, and results on the test data show the proposed method can efficiently improve the geolocation database.

KW - Attack tracing

KW - IP geolocation

KW - Landmark

KW - Network measurement

UR - https://www.scopus.com/pages/publications/85057361426

U2 - 10.1007/978-3-030-00009-7_39

DO - 10.1007/978-3-030-00009-7_39

M3 - 会议稿件

AN - SCOPUS:85057361426

SN - 9783030000080

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 426

EP - 438

BT - Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers

A2 - Sun, Xingming

A2 - Pan, Zhaoqing

A2 - Bertino, Elisa

PB - Springer Verlag

T2 - 4th International Conference on Cloud Computing andSecurity, ICCCS 2018

Y2 - 8 June 2018 through 10 June 2018

ER -

Xiaoming Z, Zhanfeng W, Xianglin W, Zihan Z, Chao H. A delay step based geolocation data verification method. In Sun X, Pan Z, Bertino E, editors, Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. Springer Verlag. 2018. p. 426-438. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00009-7_39

A delay step based geolocation data verification method

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Keywords

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