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Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment

Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compa

Context Committing Security of Leveled Leakage-Resilient AEAD

During recent years, research on authenticated encryption has been thriving through two highly active and practice-motivated research directions: provably secure leakage-resilience schemes and key- or context-commitment security. However, the intersection of both fields had been overlooked until very recently. In ToSC 1/2024, Struck and Weish\"aupl studied generic compositions of Encryption scheme

Estimation of Impulse Responses for a Moving Source Using Optimal Transport Regularization

The estimation of impulse responses (IRs) is fundamental to various audio applications, including active noise control, telecommunication, and sound zone control. Despite its long history, estimating impulse responses remains challenging when dealing with short signals and with signals having poor spectral excitation. However, in many applications the source is moving such that one has access to s

Impulse Response Interpolation Using Optimal Transport

The spatial impulse response (IR) interpolation problem is of general interest, e.g. for imaging of subsurface structures based on seismic waves, rendering of audio and radar IRs, as well as for numerous spatial audio applications. A commonly used model represents the occurring reflections as equivalent source positions, often being determined using a sparse re-construction framework employing spa

A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

Meta-analysis is a statistical method used in evidence synthesis for combining, analyzing and summarizing studies that have the same target endpoint and aims to derive a pooled quantitative estimate using fixed and random effects models or network models. Differences among included studies depend on variations in target populations (ie, heterogeneity) and variations in study quality due to study d

Find the Bad Apples: An efficient method for perfectkey recovery under imperfect SCA oracles– A case study of Kyber

Side-channel resilience is a crucial feature when assessing whether a postquantum cryptographic proposal is sufficiently mature to be deployed. In this paper, we propose a generic and efficient adaptive approach to improve the sample complexity (i.e., the required number of traces) of plaintext-checking (PC) oracle-based sidechannel attacks (SCAs), a major class of key recovery chosen-ciphertext S

Contributions to Securing Software Updates in IoT

The Internet of Things (IoT) is a large network of connected devices. In IoT, devices can communicate with each other or back-end systems to transfer data or perform assigned tasks. Communication protocols used in IoT depend on target applications but usually require low bandwidth. On the other hand, IoT devices are constrained, having limited resources, including memory, power, and computational

Insight of Anomaly Detection with NWDAF in 5G

Data analytics is regarded as an important function of 5G networks. The Network Data Analytics Function (NWDAF) is standardized in 3GPP to enhance 5G network performance by analyzing data from network functions and user equipment. Abnormal behavior detection, which is part of the NWDAF framework, has the potential to be a powerful tool to improve 5G network security. Despite this, only limited res

Semiarid ecosystems

• Semiarid regions control a large fraction of the interannual variability in the global terrestrial CO2 sink and of atmospheric CO2 growth rate. • Semiarid ecosystems are characterized by recurring disturbances that alter the regional C budgets. As disturbances are expected to become more frequent or intense in the future, quantifying their contribution to semiarid C balance is crucial. • We revi

Secure Cloud Storage with Joint Deduplication and Erasure Protection

This work proposes a novel design for secure cloud storage systems using a third party to meet three seemingly opposing demands: reduce storage requirements on the cloud, protect against erasures (data loss), and maintain confidentiality of the data. More specifically, we achieve storage cost reductions using data deduplication without requiring system users to trust that the cloud operates honest

Attacks on the Firekite Cipher

Firekite is a synchronous stream cipher using a pseudo-random number generator (PRNG) whose security is conjectured to rely on the hardness of the Learning Parity with Noise (LPN) problem. It is one of a few LPN-based symmetric encryption schemes, and it can be very efficiently implemented on a low-end SoC FPGA. The designers, Bogos, Korolija, Locher and Vaudenay, demonstrated appealing properties

Trilateration Using Motion Models

In this paper, we present a framework for doing localization from distance measurements, given an estimate of the local motion. We show how we can register the local motion of a receiver, to a global coordinate system, using trilateration of given distance measurements from the receivers to senders in known positions. We describe how many different motion models can be formulated within the same t

Learning-Enabled Robust Control with Noisy Measurements

We present a constructive approach to bounded l2-gain adaptive control with noisy measurements for linear time-invariant scalar systems with uncertain parameters belonging to a finite set. The gain bound refers to the closed-loop system, including the learning procedure. The approach is based on forward dynamic programming to construct a finite-dimensional information state consisting of H-infinit

Security framework in digital twins for cloud-based industrial control systems : intrusion detection and mitigation

With the help of modern technologies and advances in communication systems, the functionality of Industrial control systems (ICS) has been enhanced leading toward to have more efficient and smarter ICS. However, this makes these systems more and more connected and part of a networked system. This can provide an entry point for attackers to infiltrate the system and cause damage with potentially ca

Punctual Cloud : Unbinding Real-time Applications from Cloud-induced Delays

Cloud computing has become a prominent technology for the computing paradigm in various industrial sectors nowadays. For most industrial applications to perform in real-time, the support of periodic computing is required. However, it remains a challenge when the computing is executed in a cloud, since both the network connection and the cloud environment are uncertain. In this paper, we propose a

Mathematics and physics at upper secondary school: an analysis of two lectures

A physics lecture and a mathematics lecture, by the same teacher and partly thesame students, were studied at upper secondary school. Both lectures coveredordinary differential equations. The main aim of the present paper was to investigate the teacher’s different and similar ways to handle related mathematicalcontent in the two school subjects. The findings show a structural use of mathematics wi

Correlation Attacks on Stream Ciphers

Correlation attacks apply mainly to stream ciphers and can be considered as an extension of the idea of distinguishing attacks to collect information on secret key bits. The original correlation attack was proposed by Siegenthaler on nonlinear combination generators. In a nonlinear combination generator, the keystream is generated as the output of a Boolean function with inputs being sequences fro

On Decentralized Cloud Storage Security and an Efficient Post-Quantum Encryption Scheme

In this thesis, we address three main security problems related to cryptography andcloud storage. To tackle the challenge posed by a quantum computer, we needencryption that is resistant to quantum computers. This category of cryptographyis called post-quantum cryptography. In the first paper, we solve a challengein one of the lattice-based cryptographic protocols called Nth-degree Truncatedpolyno