Tootfinder

Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
Debopriya Roy Dipta, Thore Tiemann, Berk Gulmezoglu, Eduard Marin Fabregas, Thomas Eisenbarth
https://arxiv.org/abs/2404.10715

Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
The cloud computing landscape has evolved significantly in recent years, embracing various sandboxes to meet the diverse demands of modern cloud applications. These sandboxes encompass container-based technologies like Docker and gVisor, microVM-based solutions like Firecracker, and security-centric sandboxes relying on Trusted Execution Environments (TEEs) such as Intel SGX and AMD SEV. However, the practice of placing multiple tenants on shared physical hardware raises security and privacy co…

Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
Jo\~ao Morais, Ahmed Alkhateeb
https://arxiv.org/abs/2403.09614 https://

Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
Localization in outdoor wireless systems typically requires transmitting specific reference signals to estimate distance (trilateration methods) or angle (triangulation methods). These cause overhead on communication, need a LoS link to work well, and require multiple base stations, often imposing synchronization or specific hardware requirements. Fingerprinting has none of these drawbacks, but building its database requires high human effort to collect real-world measurements. For a long time,…

This https://arxiv.org/abs/2310.16406 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmitting source. Recent advances in Machine Learning, particularly in Deep Learning (DL), have improved the ability of RFF systems to extract and learn complex features that make up the …

Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
Jo\~ao Morais, Ahmed Alkhateeb
https://arxiv.org/abs/2403.09614 https://

Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
Localization in outdoor wireless systems typically requires transmitting specific reference signals to estimate distance (trilateration methods) or angle (triangulation methods). These cause overhead on communication, need a LoS link to work well, and require multiple base stations, often imposing synchronization or specific hardware requirements. Fingerprinting has none of these drawbacks, but building its database requires high human effort to collect real-world measurements. For a long time,…

I've been participating in a long-term test whether my browsers are trackable via fingerprinting:
https://browser-fingerprint.cs.fau.de/
and oooof, they are ;(

Study on Browser Fingerprinting

Optic Fingerprint: Enhancing Security in Visible Light Communication Networks
Chen Xuanbang, Liu Ziqi, Zhang Xun, Wang Yuhao, Shi Dayu, Liu Xiaodong
https://arxiv.org/abs/2404.08369

Optic Fingerprint: Enhancing Security in Visible Light Communication Networks
In addressing physical layer security issues, hardware fingerprinting has been proven to be a reliable method. Additionally, Visible Light Communication (VLC) technology offers a solution to the spectrum congestion in next-generation wireless communications and is noteworthy for its high security. However, there is currently a lack of a comprehensive and systematic description of the hardware fingerprints and their extraction mechanisms for VLC devices. This study aims to bridge this gap by tho…

@…: Your Firefox addon, when not in its Private Mode and when only the 404 option is checked, the addon still communicates with your servers when I pop its UI opened and mouse over it (no clicking), even when not on a 404 page. Worse, it also triggers your servers to visit the same page I'm viewing (a fingerprinting risk).
Is there a way to suppress everything in the addon unless there's a 404 page or actually click a button that needs a network call to function?

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Yuran Zhu, Guanhua Wang, Yuning Gu, Walter Zhao, Jiahao Lu, Junqing Zhu, Christina J. MacAskill, Andrew Dupuis, Mark A. Griswold, Dan Ma, Chris A. Flask, Xin Yu
https://arxiv.org/abs/2405.00513

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Quantitative MRI enables direct quantification of contrast agent concentrations in contrast-enhanced scans. However, the lengthy scan times required by conventional methods are inadequate for tracking contrast agent transport dynamically in mouse brain. We developed a 3D MR fingerprinting (MRF) method for simultaneous T1 and T2 mapping across the whole mouse brain with 4.3-min temporal resolution. We designed a 3D MRF sequence with variable acquisition segment lengths and magnetization preparat…

Optic Fingerprint: Enhancing Security in Visible Light Communication Networks
Chen Xuanbang, Liu Ziqi, Zhang Xun, Wang Yuhao, Shi Dayu, Liu Xiaodong
https://arxiv.org/abs/2404.08369

Optic Fingerprint: Enhancing Security in Visible Light Communication Networks
In addressing physical layer security issues, hardware fingerprinting has been proven to be a reliable method. Additionally, Visible Light Communication (VLC) technology offers a solution to the spectrum congestion in next-generation wireless communications and is noteworthy for its high security. However, there is currently a lack of a comprehensive and systematic description of the hardware fingerprints and their extraction mechanisms for VLC devices. This study aims to bridge this gap by tho…

#Google, #Meta, #Spotify apparently use device fingerprinting on #iOS to track users. Does this surprise anybody?

Weil es kürzlich gefragt wurde: Ein ganz kurzer Test der Suchmaschine @…
Die Suchmaschine ist auch in der werbefinanzierten Variante datenschutzkonform. Keine Cookies, kein Web-Storage, kein Fingerprinting - daher auch kein Einwilligungsbanner.
Microsoft und Yahoo erhalten allerdings Anfragen und man muss mit Branchenerfahrung damit rechnen, dass die…

DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
Ruoyu Li, Qing Li, Tao Lin, Qingsong Zou, Dan Zhao, Yucheng Huang, Gareth Tyson, Guorui Xie, Yong Jiang
https://arxiv.org/abs/2404.12738

DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
Device fingerprinting can be used by Internet Service Providers (ISPs) to identify vulnerable IoT devices for early prevention of threats. However, due to the wide deployment of middleboxes in ISP networks, some important data, e.g., 5-tuples and flow statistics, are often obscured, rendering many existing approaches invalid. It is further challenged by the high-speed traffic of hundreds of terabytes per day in ISP networks. This paper proposes DeviceRadar, an online IoT device fingerprinting f…

This https://arxiv.org/abs/2312.07038 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Broadband near-ultraviolet dual comb spectroscopy
The highly energetic photons of ultraviolet light drive electronic and rovibronic transitions in all molecular species. This radiation is thus a prime tool for strongly selective spectroscopic fingerprinting and real-time environmental monitoring if broad spectral coverage, short acquisition times and high spectral resolution is achieved - requirements that are in mutual competition in traditional applications. As a novel approach with intrinsic potency in all three aspects, here we introduce u…

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting
Sarwan Ali, Prakash Chourasia, Murray Patterson
https://arxiv.org/abs/2403.19844

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting
This study introduces a novel approach, combining substruct counting, $k$-mers, and Daylight-like fingerprints, to expand the representation of chemical structures in SMILES strings. The integrated method generates comprehensive molecular embeddings that enhance discriminative power and information content. Experimental evaluations demonstrate its superiority over traditional Morgan fingerprinting, MACCS, and Daylight fingerprint alone, improving chemoinformatics tasks such as drug classificati…

OpenVPN is Open to VPN Fingerprinting
Diwen Xue, Reethika Ramesh, Arham Jain, Michalis Kallitsis, J. Alex Halderman, Jedidiah R. Crandall, Roya Ensafi
https://arxiv.org/abs/2403.03998

OpenVPN is Open to VPN Fingerprinting
VPN adoption has seen steady growth over the past decade due to increased public awareness of privacy and surveillance threats. In response, certain governments are attempting to restrict VPN access by identifying connections using "dual use" DPI technology. To investigate the potential for VPN blocking, we develop mechanisms for accurately fingerprinting connections using OpenVPN, the most popular protocol for commercial VPN services. We identify three fingerprints based on protocol features s…

Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges
Navin Kamuni, Sathishkumar Chintala, Naveen Kunchakuri, Jyothi Swaroop Arlagadda Narasimharaju, Venkat Kumar
https://arxiv.org/abs/2402.13957

Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges
Audio fingerprinting, exemplified by pioneers like Shazam, has transformed digital audio recognition. However, existing systems struggle with accuracy in challenging conditions, limiting broad applicability. This research proposes an AI and ML integrated audio fingerprinting algorithm to enhance accuracy. Built on the Dejavu Project's foundations, the study emphasizes real-world scenario simulations with diverse background noises and distortions. Signal processing, central to Dejavu's model, in…

Look all you have to do Serco is employ two people to follow around every employee who opts out of fingerprinting. I hear it works for Telehouse.
https://ico.org.uk/about-the-ico/media-centre/news-and-blogs…

Secure Information Embedding and Extraction in Forensic 3D Fingerprinting
Canran Wang, Jinwen Wang, Mi Zhou, Vinh Pham, Senyue Hao, Chao Zhou, Ning Zhang, Netanel Raviv
https://arxiv.org/abs/2403.04918

Secure Information Embedding and Extraction in Forensic 3D Fingerprinting
The prevalence of 3D printing poses a significant risk to public safety, as any individual with internet access and a commodity printer is able to produce untraceable firearms, keys, counterfeit products, etc. To aid government authorities in combating these new security threats, several approaches have been taken to tag 3D-prints with identifying information. Known as fingerprints, this information is written into the object using various bit embedding techniques; examples include varying the …

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Yuran Zhu, Guanhua Wang, Yuning Gu, Walter Zhao, Jiahao Lu, Junqing Zhu, Christina J. MacAskill, Andrew Dupuis, Mark A. Griswold, Dan Ma, Chris A. Flask, Xin Yu
https://arxiv.org/abs/2405.00513

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Quantitative MRI enables direct quantification of contrast agent concentrations in contrast-enhanced scans. However, the lengthy scan times required by conventional methods are inadequate for tracking contrast agent transport dynamically in mouse brain. We developed a 3D MR fingerprinting (MRF) method for simultaneous T1 and T2 mapping across the whole mouse brain with 4.3-min temporal resolution. We designed a 3D MRF sequence with variable acquisition segment lengths and magnetization preparat…

Secure Information Embedding and Extraction in Forensic 3D Fingerprinting
Canran Wang, Jinwen Wang, Mi Zhou, Vinh Pham, Senyue Hao, Chao Zhou, Ning Zhang, Netanel Raviv
https://arxiv.org/abs/2403.04918

Secure Information Embedding and Extraction in Forensic 3D Fingerprinting
The prevalence of 3D printing poses a significant risk to public safety, as any individual with internet access and a commodity printer is able to produce untraceable firearms, keys, counterfeit products, etc. To aid government authorities in combating these new security threats, several approaches have been taken to tag 3D-prints with identifying information. Known as fingerprints, this information is written into the object using various bit embedding techniques; examples include varying the …

Since political text spam in the US is ramping up over the next few months, I just wanted to give a shoutout to an app I discovered last year called Robokiller. I used to get 1-2 spam texts a day, now I'm down to 1-2 a year. No affiliation, just a happy customer https://apps.apple.com/us/a…

‎Robokiller: Spam Call Blocker
‎Eliminate up to 99% of spam calls with Robokiller. Robokiller’s global database of 1.4 Billion analyzed calls instantly protects you from known phone scams. Our patented audio fingerprinting technology uses machine learning to stop your phone from ringing with annoying, unwanted calls. You can live…

Positional-Unigram Byte Models for Generalized TLS Fingerprinting
Hector A. Valdez, Sean McPherson
https://arxiv.org/abs/2405.07848 https://

Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes
Victor S. Portella, Nick Harvey
https://arxiv.org/abs/2404.17714

Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes
We prove lower bounds on the number of samples needed to privately estimate the covariance matrix of a Gaussian distribution. Our bounds match existing upper bounds in the widest known setting of parameters. Our analysis relies on the Stein-Haff identity, an extension of the classical Stein's identity used in previous fingerprinting lemma arguments.

Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
Adam M. Krajewski, Jonathan W. Siegel, Zi-Kui Liu
https://arxiv.org/abs/2404.02849

Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
Structure-informed materials informatics is a rapidly evolving discipline of materials science relying on the featurization of atomic structures or configurations to construct vector, voxel, graph, graphlet, and other representations useful for machine learning prediction of properties, fingerprinting, and generative design. This work discusses how current featurizers typically perform redundant calculations and how their efficiency could be improved by considering (1) fundamentals of crystallo…

This https://arxiv.org/abs/2402.05042 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks
In the wake of increasing numbers of attacks on radio communication systems, a range of techniques are being deployed to increase the security of these systems. One such technique is radio fingerprinting, in which the transmitter can be identified and authenticated by observing small hardware differences expressed in the signal. Fingerprinting has been explored in particular in the defense of satellite systems, many of which are insecure and cannot be retrofitted with cryptographic security. …

This https://arxiv.org/abs/2303.14312 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting
Radio frequency fingerprinting has been proposed for device identification. However, experimental studies also demonstrated its sensitivity to deployment changes. Recent works have addressed channel impacts by developing robust algorithms accounting for time and location variability, but the impacts of receiver impairments on transmitter fingerprints are yet to be solved. In this work, we investigate the receiver-agnostic transmitter fingerprinting problem, and propose a novel two-stage supervi…

Since political text spam in the US is ramping up over the next few months, I just wanted to give a shoutout to an app I discovered last year called Robokiller. I used to get 1-2 spam texts a day, now I'm down to 1-2 a year. No affiliation, just a happy customer https://apps.apple.com/us/a…

‎Robokiller: Spam Call Blocker
‎Eliminate up to 99% of spam calls with Robokiller. Robokiller’s global database of 1.4 Billion analyzed calls instantly protects you from known phone scams. Our patented audio fingerprinting technology uses machine learning to stop your phone from ringing with annoying, unwanted calls. You can live…

This https://arxiv.org/abs/2401.12255 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Instructional Fingerprinting of Large Language Models
The exorbitant cost of training Large language models (LLMs) from scratch makes it essential to fingerprint the models to protect intellectual property via ownership authentication and to ensure downstream users and developers comply with their license terms (e.g. restricting commercial use). In this study, we present a pilot study on LLM fingerprinting as a form of very lightweight instruction tuning. Model publisher specifies a confidential private key and implants it as an instruction backdo…

Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
Adam M. Krajewski, Jonathan W. Siegel, Zi-Kui Liu
https://arxiv.org/abs/2404.02849

Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
Structure-informed materials informatics is a rapidly evolving discipline of materials science relying on the featurization of atomic structures or configurations to construct vector, voxel, graph, graphlet, and other representations useful for machine learning prediction of properties, fingerprinting, and generative design. This work discusses how current featurizers typically perform redundant calculations and how their efficiency could be improved by considering (1) fundamentals of crystallo…

This https://arxiv.org/abs/2307.11692 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Compressed Sensing of Field-resolved Molecular Fingerprints Beyond the Nyquist Frequency
Ultrashort time-domain spectroscopy and field-resolved spectroscopy of molecular fingerprints are gold standards for detecting samples' constituents and internal dynamics. However, they are hindered by the Nyquist criterion, leading to prolonged data acquisition, processing times, and sizable data volumes. In this work, we present the first experimental demonstration of compressed sensing on field-resolved molecular fingerprinting by employing random scanning. Our measurements enable pinpointin…

This https://arxiv.org/abs/2308.03417 has been replaced.
link: https://scholar.google.com/scholar?q=a

PURL: Safe and Effective Sanitization of Link Decoration
While privacy-focused browsers have taken steps to block third-party cookies and mitigate browser fingerprinting, novel tracking techniques that can bypass existing countermeasures continue to emerge. Since trackers need to share information from the client-side to the server-side through link decoration regardless of the tracking technique they employ, a promising orthogonal approach is to detect and sanitize tracking information in decorated links. To this end, we present PURL (pronounced pur…