Data Siphoning in ICSs: Attack Tree and Role of Cryptoperiods

Siphoning of in-transit operational data is an especially concerning type of attack on modern-day industrial control systems (ICSs) - a type that can be conducted on its own or used as a reconnaissance stage for subsequent cyber-physical attacks. This is the first known research work to study the problem of operational data siphoning in ICSs from the perspective of threat modeling. The work introduces a comprehensive attack tree that outlines different options available to an adversary, as well as certain execution challenges, when conducting this type of attack. The attack tree is intended to serve as a roadmap for the development of more effective defences against data siphoning. The paper also discusses the important role of cryptoperiods as a critical defensive mechanism against data siphoning that is largely understudied in academic research and insufficiently elaborated on in industrial standards. Finally, the work points to the need for better coverage of data siphoning in MITRE ATT&CK framework, specifically its ICS matrix.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679460
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Siphoning in ICSs: Attack Tree and Role of Cryptoperiods

Natalija Vlajic, Gabriele Cianfarani, Robert Noce
Chaos-based Image/Signal Encryption
article

Data Siphoning in ICSs: Attack Tree and Role of Cryptoperiods

Natalija Vlajic, Gabriele Cianfarani, Robert Noce
article en

Abstract

Siphoning of in-transit operational data is an especially concerning type of attack on modern-day industrial control systems (ICSs) - a type that can be conducted on its own or used as a reconnaissance stage for subsequent cyber-physical attacks. This is the first known research work to study the problem of operational data siphoning in ICSs from the perspective of threat modeling. The work introduces a comprehensive attack tree that outlines different options available to an adversary, as well as certain execution challenges, when conducting this type of attack. The attack tree is intended to serve as a roadmap for the development of more effective defences against data siphoning. The paper also discusses the important role of cryptoperiods as a critical defensive mechanism against data siphoning that is largely understudied in academic research and insufficiently elaborated on in industrial standards. Finally, the work points to the need for better coverage of data siphoning in MITRE ATT&CK framework, specifically its ICS matrix.

York University (CA), Systems, Applications & Products in Data Processing (Canada) (CA)
Openalex Percentile: Top 84%
Chaos-based Image/Signal Encryption
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data Siphoning in ICSs: Attack Tree and Role of Cryptoperiods — Natalija Vlajic, Gabriele Cianfarani, et al. · (2024) | TGRS Research Map | TGRS