A denial of service attack method for iot system in photovoltaic energy system

Lulu Liang; Kai Zheng; Qiankun Sheng; Wei Wang; Rong Fu; Xin Huang

doi:10.1007/978-3-319-64701-2_48

A denial of service attack method for iot system in photovoltaic energy system

Lulu Liang
, Kai Zheng^*
, Qiankun Sheng
, Wei Wang
, Rong Fu
, Xin Huang

^*Corresponding author for this work

Department of Computing

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

17 Citations (Scopus)

Abstract

The development of renewable energy system solve air pollution problems. Photovoltic (PV) energy system is one of widely used renewable energy system. The emergence of Internet of Tings (IoT) make the effective monitoring possible. In order to analyze potential threat of IoT in PV energy system, this paper shows DoS attack methods to nRF24l01 based IoT. The analysis of DoS attack will help the developers to find flaws in the IoT system.

Original language	English
Title of host publication	Network and System Security - 11th International Conference, NSS 2017, Proceedings
Editors	Zheng Yan, Refik Molva, Wojciech Mazurczyk, Raimo Kantola
Publisher	Springer Verlag
Pages	613-622
Number of pages	10
ISBN (Print)	9783319647005
DOIs	https://doi.org/10.1007/978-3-319-64701-2_48
Publication status	Published - 2017
Event	11th International Conference on Network and System Security, NSS 2017 - Helsinki, Finland Duration: 21 Aug 2017 → 23 Aug 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10394 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Network and System Security, NSS 2017
Country/Territory	Finland
City	Helsinki
Period	21/08/17 → 23/08/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DoS attack
IoT
PV energy system
nRF24l01

Access to Document

10.1007/978-3-319-64701-2_48

Cite this

Liang, L., Zheng, K., Sheng, Q., Wang, W., Fu, R., & Huang, X. (2017). A denial of service attack method for iot system in photovoltaic energy system. In Z. Yan, R. Molva, W. Mazurczyk, & R. Kantola (Eds.), Network and System Security - 11th International Conference, NSS 2017, Proceedings (pp. 613-622). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10394 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64701-2_48

Liang, Lulu ; Zheng, Kai ; Sheng, Qiankun et al. / A denial of service attack method for iot system in photovoltaic energy system. Network and System Security - 11th International Conference, NSS 2017, Proceedings. editor / Zheng Yan ; Refik Molva ; Wojciech Mazurczyk ; Raimo Kantola. Springer Verlag, 2017. pp. 613-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4d966f51f07043cb98f12732abe8451d,

title = "A denial of service attack method for iot system in photovoltaic energy system",

abstract = "The development of renewable energy system solve air pollution problems. Photovoltic (PV) energy system is one of widely used renewable energy system. The emergence of Internet of Tings (IoT) make the effective monitoring possible. In order to analyze potential threat of IoT in PV energy system, this paper shows DoS attack methods to nRF24l01 based IoT. The analysis of DoS attack will help the developers to find flaws in the IoT system.",

keywords = "DoS attack, IoT, PV energy system, nRF24l01",

author = "Lulu Liang and Kai Zheng and Qiankun Sheng and Wei Wang and Rong Fu and Xin Huang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 11th International Conference on Network and System Security, NSS 2017 ; Conference date: 21-08-2017 Through 23-08-2017",

year = "2017",

doi = "10.1007/978-3-319-64701-2\_48",

language = "English",

isbn = "9783319647005",

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

publisher = "Springer Verlag",

pages = "613--622",

editor = "Zheng Yan and Refik Molva and Wojciech Mazurczyk and Raimo Kantola",

booktitle = "Network and System Security - 11th International Conference, NSS 2017, Proceedings",

}

Liang, L, Zheng, K, Sheng, Q, Wang, W, Fu, R & Huang, X 2017, A denial of service attack method for iot system in photovoltaic energy system. in Z Yan, R Molva, W Mazurczyk & R Kantola (eds), Network and System Security - 11th International Conference, NSS 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10394 LNCS, Springer Verlag, pp. 613-622, 11th International Conference on Network and System Security, NSS 2017, Helsinki, Finland, 21/08/17. https://doi.org/10.1007/978-3-319-64701-2_48

A denial of service attack method for iot system in photovoltaic energy system. / Liang, Lulu; Zheng, Kai; Sheng, Qiankun et al.
Network and System Security - 11th International Conference, NSS 2017, Proceedings. ed. / Zheng Yan; Refik Molva; Wojciech Mazurczyk; Raimo Kantola. Springer Verlag, 2017. p. 613-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10394 LNCS).

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

TY - GEN

T1 - A denial of service attack method for iot system in photovoltaic energy system

AU - Liang, Lulu

AU - Zheng, Kai

AU - Sheng, Qiankun

AU - Wang, Wei

AU - Fu, Rong

AU - Huang, Xin

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - The development of renewable energy system solve air pollution problems. Photovoltic (PV) energy system is one of widely used renewable energy system. The emergence of Internet of Tings (IoT) make the effective monitoring possible. In order to analyze potential threat of IoT in PV energy system, this paper shows DoS attack methods to nRF24l01 based IoT. The analysis of DoS attack will help the developers to find flaws in the IoT system.

AB - The development of renewable energy system solve air pollution problems. Photovoltic (PV) energy system is one of widely used renewable energy system. The emergence of Internet of Tings (IoT) make the effective monitoring possible. In order to analyze potential threat of IoT in PV energy system, this paper shows DoS attack methods to nRF24l01 based IoT. The analysis of DoS attack will help the developers to find flaws in the IoT system.

KW - DoS attack

KW - IoT

KW - PV energy system

KW - nRF24l01

UR - https://www.scopus.com/pages/publications/85028466692

U2 - 10.1007/978-3-319-64701-2_48

DO - 10.1007/978-3-319-64701-2_48

M3 - Conference Proceeding

AN - SCOPUS:85028466692

SN - 9783319647005

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

SP - 613

EP - 622

BT - Network and System Security - 11th International Conference, NSS 2017, Proceedings

A2 - Yan, Zheng

A2 - Molva, Refik

A2 - Mazurczyk, Wojciech

A2 - Kantola, Raimo

PB - Springer Verlag

T2 - 11th International Conference on Network and System Security, NSS 2017

Y2 - 21 August 2017 through 23 August 2017

ER -

Liang L, Zheng K, Sheng Q, Wang W, Fu R, Huang X. A denial of service attack method for iot system in photovoltaic energy system. In Yan Z, Molva R, Mazurczyk W, Kantola R, editors, Network and System Security - 11th International Conference, NSS 2017, Proceedings. Springer Verlag. 2017. p. 613-622. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64701-2_48

A denial of service attack method for iot system in photovoltaic energy system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this