City-Hunter: Hunting Smartphones in Urban Areas

Xuefeng LIU; Jiaqi WEN; Shaojie TANG; Jiannong CAO; Jiaxing SHEN

doi:10.1109/ICDCS.2017.148

City-Hunter: Hunting Smartphones in Urban Areas

Xuefeng LIU
, Jiaqi WEN
, Shaojie TANG
, Jiannong CAO
, Jiaxing SHEN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

The security issue of public WiFi is gaining more and more concern. By listening to probe requests, an adversary can obtain the SSID list of the APs to which a smartphone previously connected, and utilizes this information to trick the smartphone into associating to it. However, with the enhancement of security level, most smartphones now do not proactively disclose their SSID lists, making these attacks obsolete. In this paper, we propose City-Hunter, an attacker that can lure nearby smartphones without knowing their SSID information. City-Hunter establishes and maintains an SSID database by integrating both offline and online information. Meanwhile, it smartly chooses some SSIDs to hit a smartphone according to the past record and freshness. We evaluate the performance of City-Hunter in different public places. The results demonstrate that City-Hunter is able to successfully hit 12% ∼ 18% smartphones without knowing their SSID information, which is about 4 ∼ 8 times improvement compared to the similar attacks like KARMA and MANA.

Original language	English
Title of host publication	2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
Editors	Kisung LEE, Ling LIU
Publisher	IEEE
Pages	162-171
Number of pages	10
ISBN (Electronic)	9781538617922
DOIs	https://doi.org/10.1109/ICDCS.2017.148
Publication status	Published - 2017
Externally published	Yes
Event	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States Duration: 5 Jun 2017 → 8 Jun 2017

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems
ISSN (Print)	1063-6927
ISSN (Electronic)	2575-8411

Conference

Conference	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/Territory	United States
City	Atlanta
Period	5/06/17 → 8/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ICDCS.2017.148

Cite this

@inproceedings{f6b0259911e84150828a98064abf4b92,

title = "City-Hunter: Hunting Smartphones in Urban Areas",

abstract = "The security issue of public WiFi is gaining more and more concern. By listening to probe requests, an adversary can obtain the SSID list of the APs to which a smartphone previously connected, and utilizes this information to trick the smartphone into associating to it. However, with the enhancement of security level, most smartphones now do not proactively disclose their SSID lists, making these attacks obsolete. In this paper, we propose City-Hunter, an attacker that can lure nearby smartphones without knowing their SSID information. City-Hunter establishes and maintains an SSID database by integrating both offline and online information. Meanwhile, it smartly chooses some SSIDs to hit a smartphone according to the past record and freshness. We evaluate the performance of City-Hunter in different public places. The results demonstrate that City-Hunter is able to successfully hit 12\% ∼ 18\% smartphones without knowing their SSID information, which is about 4 ∼ 8 times improvement compared to the similar attacks like KARMA and MANA.",

author = "Xuefeng LIU and Jiaqi WEN and Shaojie TANG and Jiannong CAO and Jiaxing SHEN",

year = "2017",

doi = "10.1109/ICDCS.2017.148",

language = "English",

series = "Proceedings - International Conference on Distributed Computing Systems",

publisher = "IEEE",

pages = "162--171",

editor = "Kisung LEE and Ling LIU",

booktitle = "2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)",

note = "37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 ; Conference date: 05-06-2017 Through 08-06-2017",

}

LIU, X, WEN, J, TANG, S, CAO, J & SHEN, J 2017, City-Hunter: Hunting Smartphones in Urban Areas. in K LEE & L LIU (eds), 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Proceedings - International Conference on Distributed Computing Systems, IEEE, pp. 162-171, 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, United States, 5/06/17. https://doi.org/10.1109/ICDCS.2017.148

City-Hunter: Hunting Smartphones in Urban Areas. / LIU, Xuefeng; WEN, Jiaqi; TANG, Shaojie et al.
2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). ed. / Kisung LEE; Ling LIU. IEEE, 2017. p. 162-171 (Proceedings - International Conference on Distributed Computing Systems).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - City-Hunter: Hunting Smartphones in Urban Areas

AU - LIU, Xuefeng

AU - WEN, Jiaqi

AU - TANG, Shaojie

AU - CAO, Jiannong

AU - SHEN, Jiaxing

PY - 2017

Y1 - 2017

N2 - The security issue of public WiFi is gaining more and more concern. By listening to probe requests, an adversary can obtain the SSID list of the APs to which a smartphone previously connected, and utilizes this information to trick the smartphone into associating to it. However, with the enhancement of security level, most smartphones now do not proactively disclose their SSID lists, making these attacks obsolete. In this paper, we propose City-Hunter, an attacker that can lure nearby smartphones without knowing their SSID information. City-Hunter establishes and maintains an SSID database by integrating both offline and online information. Meanwhile, it smartly chooses some SSIDs to hit a smartphone according to the past record and freshness. We evaluate the performance of City-Hunter in different public places. The results demonstrate that City-Hunter is able to successfully hit 12% ∼ 18% smartphones without knowing their SSID information, which is about 4 ∼ 8 times improvement compared to the similar attacks like KARMA and MANA.

AB - The security issue of public WiFi is gaining more and more concern. By listening to probe requests, an adversary can obtain the SSID list of the APs to which a smartphone previously connected, and utilizes this information to trick the smartphone into associating to it. However, with the enhancement of security level, most smartphones now do not proactively disclose their SSID lists, making these attacks obsolete. In this paper, we propose City-Hunter, an attacker that can lure nearby smartphones without knowing their SSID information. City-Hunter establishes and maintains an SSID database by integrating both offline and online information. Meanwhile, it smartly chooses some SSIDs to hit a smartphone according to the past record and freshness. We evaluate the performance of City-Hunter in different public places. The results demonstrate that City-Hunter is able to successfully hit 12% ∼ 18% smartphones without knowing their SSID information, which is about 4 ∼ 8 times improvement compared to the similar attacks like KARMA and MANA.

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DO - 10.1109/ICDCS.2017.148

M3 - Conference paper (refereed)

AN - SCOPUS:85027246447

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SP - 162

EP - 171

BT - 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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Y2 - 5 June 2017 through 8 June 2017

ER -

City-Hunter: Hunting Smartphones in Urban Areas

Abstract

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UN SDGs

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