Attack model and detection scheme for botnet on 6LoWPAN

Eung Jun Cho; Jin Ho Kim; Choong Seon Hong

doi:10.1007/978-3-642-04492-2_66

Attack model and detection scheme for botnet on 6LoWPAN

Eung Jun Cho, Jin Ho Kim, Choong Seon Hong

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

39 Citations (Scopus)

Abstract

Recently, Botnet has been used to launch spam-mail, key-logging, and DDoS attacks. Botnet is a network of bots which are controlled by attacker. A lot of detection mechanisms have been proposed to detect Botnet on wired network. However, in IP based sensor network environment, there is no detection mechanism for Botnet attacks. In this paper, we analyze the threat of Botnet on 6LoWPAN and propose a mechanism to detect Botnet on 6LoWPAN.

Original language	English
Title of host publication	Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings
Pages	515-518
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-04492-2_66
Publication status	Published - 2009
Event	12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009 - Jeju, Korea, Republic of Duration: 23 Sept 2009 → 25 Sept 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5787 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009
Country/Territory	Korea, Republic of
City	Jeju
Period	23/09/09 → 25/09/09

Bibliographical note

Funding Information:
This research was supported by the MKE, Korea, under the ITRC support program supervised by the IITA (IITA-2009-(C1090-0902-0016)).

Keywords

6LoWPAN
Attack Model
Botnet

Access to Document

10.1007/978-3-642-04492-2_66

Cite this

Cho, E. J., Kim, J. H., & Hong, C. S. (2009). Attack model and detection scheme for botnet on 6LoWPAN. In Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings (pp. 515-518). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5787 LNCS). https://doi.org/10.1007/978-3-642-04492-2_66

Cho, Eung Jun ; Kim, Jin Ho ; Hong, Choong Seon. / Attack model and detection scheme for botnet on 6LoWPAN. Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings. 2009. pp. 515-518 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Attack model and detection scheme for botnet on 6LoWPAN",

abstract = "Recently, Botnet has been used to launch spam-mail, key-logging, and DDoS attacks. Botnet is a network of bots which are controlled by attacker. A lot of detection mechanisms have been proposed to detect Botnet on wired network. However, in IP based sensor network environment, there is no detection mechanism for Botnet attacks. In this paper, we analyze the threat of Botnet on 6LoWPAN and propose a mechanism to detect Botnet on 6LoWPAN.",

keywords = "6LoWPAN, Attack Model, Botnet",

author = "Cho, {Eung Jun} and Kim, {Jin Ho} and Hong, {Choong Seon}",

note = "Funding Information: This research was supported by the MKE, Korea, under the ITRC support program supervised by the IITA (IITA-2009-(C1090-0902-0016)).; 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009 ; Conference date: 23-09-2009 Through 25-09-2009",

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Cho, EJ, Kim, JH & Hong, CS 2009, Attack model and detection scheme for botnet on 6LoWPAN. in Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5787 LNCS, pp. 515-518, 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Jeju, Korea, Republic of, 23/09/09. https://doi.org/10.1007/978-3-642-04492-2_66

Attack model and detection scheme for botnet on 6LoWPAN. / Cho, Eung Jun; Kim, Jin Ho; Hong, Choong Seon.
Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings. 2009. p. 515-518 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5787 LNCS).

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

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AU - Kim, Jin Ho

AU - Hong, Choong Seon

N1 - Funding Information: This research was supported by the MKE, Korea, under the ITRC support program supervised by the IITA (IITA-2009-(C1090-0902-0016)).

PY - 2009

Y1 - 2009

N2 - Recently, Botnet has been used to launch spam-mail, key-logging, and DDoS attacks. Botnet is a network of bots which are controlled by attacker. A lot of detection mechanisms have been proposed to detect Botnet on wired network. However, in IP based sensor network environment, there is no detection mechanism for Botnet attacks. In this paper, we analyze the threat of Botnet on 6LoWPAN and propose a mechanism to detect Botnet on 6LoWPAN.

AB - Recently, Botnet has been used to launch spam-mail, key-logging, and DDoS attacks. Botnet is a network of bots which are controlled by attacker. A lot of detection mechanisms have been proposed to detect Botnet on wired network. However, in IP based sensor network environment, there is no detection mechanism for Botnet attacks. In this paper, we analyze the threat of Botnet on 6LoWPAN and propose a mechanism to detect Botnet on 6LoWPAN.

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KW - Attack Model

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DO - 10.1007/978-3-642-04492-2_66

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SN - 9783642044915

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

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BT - Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings

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Cho EJ, Kim JH, Hong CS. Attack model and detection scheme for botnet on 6LoWPAN. In Management Enabling the Future Internet for Changing Business and New Computing Services - 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Proceedings. 2009. p. 515-518. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04492-2_66

Attack model and detection scheme for botnet on 6LoWPAN

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Keywords

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