[2605.28325] ISAC Privacy: Challenges and Solutions for 6G

-->

Computer Science > Information Theory

arXiv:2605.28325 (cs)

[Submitted on 27 May 2026]

Title:ISAC Privacy: Challenges and Solutions for 6G

Authors:Onur Günlü, Stefano Tomasin, João P. Vilela, Francesco Chiti, Prajnamaya Dass, Angeliki Alexiou, Utz Roedig<br>View a PDF of the paper titled ISAC Privacy: Challenges and Solutions for 6G, by Onur G\"unl\"u and Stefano Tomasin and Jo\~ao P. Vilela and Francesco Chiti and Prajnamaya Dass and Angeliki Alexiou and Utz Roedig

View PDF<br>HTML (experimental)

Abstract:Integrated sensing and communication (ISAC) is a promising feature of future communication networks. While spatial sensing can improve network performance and enable external services, it also creates privacy challenges that go beyond the confidentiality of communication content. Future networks using millimeter-wave (mmWave) and sub-terahertz (THz) frequencies may collect or infer detailed information about people, devices, bystanders, passive objects, and environments in a sixth-generation (6G) deployment area. Such sensing can reveal location and environment data, support behavioral profiling such as movement or activity recognition, and, in advanced cases, expose physiological information such as breathing frequency or heart-rate-related data. Thus, the capabilities of spatial sensing must be controlled to satisfy privacy requirements. In this work, we organize privacy-sensitive ISAC data into three sensing levels: location and environment data, behavioral data, and physiological data, and use this classification as the organizing principle throughout the paper. Based on this classification, we discuss internal and external ISAC applications, identify privacy challenges related to consent, transparency, data ownership, profiling, bystander exposure, and sensitive sensing data, review representative solution directions, and outline future research directions for privacy-preserving ISAC.

Subjects:

Information Theory (cs.IT); Cryptography and Security (cs.CR); Signal Processing (eess.SP); Systems and Control (eess.SY)

Cite as:<br>arXiv:2605.28325 [cs.IT]

(or<br>arXiv:2605.28325v1 [cs.IT] for this version)

https://doi.org/10.48550/arXiv.2605.28325

Focus to learn more

arXiv-issued DOI via DataCite

Submission history<br>From: Onur Günlü Prof. Dr.-Ing. [view email]<br>[v1]<br>Wed, 27 May 2026 11:25:39 UTC (270 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled ISAC Privacy: Challenges and Solutions for 6G, by Onur G\"unl\"u and Stefano Tomasin and Jo\~ao P. Vilela and Francesco Chiti and Prajnamaya Dass and Angeliki Alexiou and Utz Roedig<br>View PDF<br>HTML (experimental)<br>TeX Source

view license

Current browse context:

cs.IT

next >

new<br>recent<br>| 2026-05

Change to browse by:

cs<br>cs.CR<br>cs.SY<br>eess<br>eess.SP<br>eess.SY<br>math<br>math.IT

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)