Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies

Hsin Yi Chen; Siddharth Prakash Rao

doi:10.1007/978-3-030-91625-1_9

Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies

Hsin Yi Chen, Siddharth Prakash Rao^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Understanding attack patterns and attacker behavior has always been a prominent security research topic to provide insights into adversarial trends and defense strategies. In this paper, we demonstrate the process of analyzing adversarial trends in mobile communication systems using a conceptual threat modeling framework combined with graph analysis methodologies. We model 60 attacks using the Bhadra framework [30] and conduct graph-theory-based analysis to deduce insights. We observed the attack patterns, the diversity of attack paths given an attacker’s ability or target impact, and the importance of each technique from a network graph viewpoint and discussed potential defense strategies that mobile operators can deploy accordingly. Our main contribution is demonstrating the potential of Bhadra for analyzing the security posture of an operator’s network and simplifying the complexity of the mobile networks to communicate the security analysis results.

Original language	English
Title of host publication	Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings
Editors	Nicola Tuveri, Antonis Michalas, Billy Bob Brumley
Publisher	Springer
Pages	153-171
Number of pages	19
ISBN (Print)	9783030916244
DOIs	https://doi.org/10.1007/978-3-030-91625-1_9
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	Nordic Conference on Secure IT Systems - Virtual, Online Duration: 29 Nov 2021 → 30 Nov 2021 Conference number: 26

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13115 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Nordic Conference on Secure IT Systems
Abbreviated title	NordSec
City	Virtual, Online
Period	29/11/2021 → 30/11/2021

Keywords

Attack patterns
Mobile networks
Threat modeling

Access to Document

10.1007/978-3-030-91625-1_9

Cite this

Chen, H. Y., & Rao, S. P. (2021). Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies. In N. Tuveri, A. Michalas, & B. B. Brumley (Eds.), Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings (pp. 153-171). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13115 LNCS). Springer. https://doi.org/10.1007/978-3-030-91625-1_9

Chen, Hsin Yi ; Rao, Siddharth Prakash. / Adversarial Trends in Mobile Communication Systems : From Attack Patterns to Potential Defenses Strategies. Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings. editor / Nicola Tuveri ; Antonis Michalas ; Billy Bob Brumley. Springer, 2021. pp. 153-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e96426693d5e4c87bb1098a5ab745c11,

title = "Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies",

abstract = "Understanding attack patterns and attacker behavior has always been a prominent security research topic to provide insights into adversarial trends and defense strategies. In this paper, we demonstrate the process of analyzing adversarial trends in mobile communication systems using a conceptual threat modeling framework combined with graph analysis methodologies. We model 60 attacks using the Bhadra framework [30] and conduct graph-theory-based analysis to deduce insights. We observed the attack patterns, the diversity of attack paths given an attacker{\textquoteright}s ability or target impact, and the importance of each technique from a network graph viewpoint and discussed potential defense strategies that mobile operators can deploy accordingly. Our main contribution is demonstrating the potential of Bhadra for analyzing the security posture of an operator{\textquoteright}s network and simplifying the complexity of the mobile networks to communicate the security analysis results.",

keywords = "Attack patterns, Mobile networks, Threat modeling",

author = "Chen, {Hsin Yi} and Rao, {Siddharth Prakash}",

note = "Funding Information: Acknowledgement. The authors would like to thank Professor Tuomas Aura for providing constructive feedback and Nokia Bell Labs for funding the research work. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; Nordic Conference on Secure IT Systems, NordSec ; Conference date: 29-11-2021 Through 30-11-2021",

year = "2021",

doi = "10.1007/978-3-030-91625-1_9",

language = "English",

isbn = "9783030916244",

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

publisher = "Springer",

pages = "153--171",

editor = "Nicola Tuveri and Antonis Michalas and Brumley, {Billy Bob}",

booktitle = "Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings",

address = "Germany",

}

Chen, HY & Rao, SP 2021, Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies. in N Tuveri, A Michalas & BB Brumley (eds), Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13115 LNCS, Springer, pp. 153-171, Nordic Conference on Secure IT Systems, Virtual, Online, 29/11/2021. https://doi.org/10.1007/978-3-030-91625-1_9

Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies. / Chen, Hsin Yi; Rao, Siddharth Prakash.
Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings. ed. / Nicola Tuveri; Antonis Michalas; Billy Bob Brumley. Springer, 2021. p. 153-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13115 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Adversarial Trends in Mobile Communication Systems

T2 - Nordic Conference on Secure IT Systems

AU - Chen, Hsin Yi

AU - Rao, Siddharth Prakash

N1 - Conference code: 26

PY - 2021

Y1 - 2021

N2 - Understanding attack patterns and attacker behavior has always been a prominent security research topic to provide insights into adversarial trends and defense strategies. In this paper, we demonstrate the process of analyzing adversarial trends in mobile communication systems using a conceptual threat modeling framework combined with graph analysis methodologies. We model 60 attacks using the Bhadra framework [30] and conduct graph-theory-based analysis to deduce insights. We observed the attack patterns, the diversity of attack paths given an attacker’s ability or target impact, and the importance of each technique from a network graph viewpoint and discussed potential defense strategies that mobile operators can deploy accordingly. Our main contribution is demonstrating the potential of Bhadra for analyzing the security posture of an operator’s network and simplifying the complexity of the mobile networks to communicate the security analysis results.

AB - Understanding attack patterns and attacker behavior has always been a prominent security research topic to provide insights into adversarial trends and defense strategies. In this paper, we demonstrate the process of analyzing adversarial trends in mobile communication systems using a conceptual threat modeling framework combined with graph analysis methodologies. We model 60 attacks using the Bhadra framework [30] and conduct graph-theory-based analysis to deduce insights. We observed the attack patterns, the diversity of attack paths given an attacker’s ability or target impact, and the importance of each technique from a network graph viewpoint and discussed potential defense strategies that mobile operators can deploy accordingly. Our main contribution is demonstrating the potential of Bhadra for analyzing the security posture of an operator’s network and simplifying the complexity of the mobile networks to communicate the security analysis results.

KW - Attack patterns

KW - Mobile networks

KW - Threat modeling

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U2 - 10.1007/978-3-030-91625-1_9

DO - 10.1007/978-3-030-91625-1_9

M3 - Conference article in proceedings

AN - SCOPUS:85119857196

SN - 9783030916244

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

SP - 153

EP - 171

BT - Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings

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A2 - Michalas, Antonis

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Y2 - 29 November 2021 through 30 November 2021

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Chen HY, Rao SP. Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies. In Tuveri N, Michalas A, Brumley BB, editors, Secure IT Systems - 26th Nordic Conference, NordSec 2021, Proceedings. Springer. 2021. p. 153-171. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-91625-1_9

Adversarial Trends in Mobile Communication Systems: From Attack Patterns to Potential Defenses Strategies

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