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In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as indu
Software-Defined Networking (SDN) is a novel architectural model for cloud network infrastructure, improving resource utilization, scalability and administration. SDN deployments increasingly rely on virtual switches executing on commodity operating systems with large code bases, which are prime targets for adversaries attacking the network infrastructure. We describe and implement TruSDN, a frame
In this paper, we investigate the security of SNOW-V, demonstrating two guess-and-determine (GnD) attacks against the full version with complexities 2384 and 2378, respectively, and one distinguishing attack against a reduced variant with complexity 2303 . Our GnD attacks use enumeration with recursion to explore valid guessing paths, and try to truncate as many invalid guessing paths as possible
NTRU is a public-key cryptosystem, where the underlying mathematical problem is currently safe against large-scale quantum computer attacks. The system is not as well investigated, as for example RSA, and the company behind NTRU has created the NTRU Challenges, to remedy this. These challenges consist of 27 different public keys of increasing size, where the task in each challenge is to calculate
Scheduling library for efficient scheduling of time intervals and merging of schedules.
Random wireless network scenario generator.
Guo et al. recently presented a reaction attack against the QC-MDPC McEliece cryptosystem. Their attack is based on the observation that when a bit-flipping decoding algorithm is used in the QC-MDPC McEliece, then there exists a dependence between the secret matrix H and the failure probability of the bit-flipping algorithm. This dependence can be exploited to reveal the matrix H which constitutes
Kubernetes (K8s) is one of the best options available to deploy applications in large-scale infrastructures. Security has been a big concern for all practitioners in the K8s eco-system. Almost all cloud vendors have their security solution for K8s cluster, pods, workloads, etc. In recent years, a large number of open-source tools and projects related to K8s security have emerged to meet the increa
The learning with errors (LWE) problem is one of the main mathematical foundations of post-quantum cryptography. One of the main groups of algorithms for solving LWE is the Blum–Kalai–Wasserman (BKW) algorithm. This paper presents new improvements of BKW-style algorithms for solving LWE instances. We target minimum concrete complexity, and we introduce a new reduction step where we partially reduc
In this paper, we present a side-channel attack on a first-order masked implementation of IND-CCA secure Saber KEM. We show how to recover both the session key and the long-term secret key from 24 traces using a deep neural network created at the profiling stage. The proposed message recovery approach learns a higher-order model directly, without explicitly extracting random masks at each executio
This thesis proposes approaches and models to increase the energy saving of the User Equipment (UE) in Long-Term Evolution (LTE) and 5G. The focus is mainly on Discontinuous Reception (DRX), the UE energy saving mechanism that was first introduced in LTE and will play an important role in 5G too.In this thesis, we take two main approaches. The first approach is based on joint optimization of DRX a
Svenska elitidrottares mentala träningsvanor undersöktes genom en webbaserad enkätundersökning som besvarades av 47 aktiva idrottare (28 män, 19 kvinnor, ålder 16-37, M=25) inom fotboll, friidrott, handboll, ishockey och tennis. Studien visade att svenska elitidrottare i genomsnitt ägnar 41 minuter i veckan åt olika mentala träningsformer, dock med stor individuell spridning. Mängden mental träninThis paper aimed to study to what extent Swedish elite athletes engage themselves in psychological skills training (PST). The study was conducted through a web-based survey with 47 respondents (28 men, 19 women, age 16-37, M=25) from five sports; handball, ice hockey, soccer, tennis and track and field. The results showed that the athletes spend on average 41 minutes a week on different types of m
Det har visat sig att fysisk aktivitet minskar risken för en rad olika sjukdomar. Studien syftade till att undersöka fysisk aktivitet i olika kontexter och på olika nivåer för att bidra med ny kunskap om eventuella hälsofördelar med fysisk aktivitet. Då det är betydelsefullt för organisationens effektivitet och produktivitet att de anställda mår bra är det också viktigt att organisationen arbetar Physical activity has been shown to reduce the risk of several illnesses. The study aimed to investigate physical activity in different contexts and on different levels to contribute with new knowledge about possible health benefits linked to physical activity. Since the health of the employees is crucial for the organization’s efficiency and productivity it is important that organizations promote
When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and expertise. We are convinced th
Despite their tiny eyes and brains, nocturnal insects have remarkable visual abilities. Recent work-particularly on fast-flying moths and bees and on ball-rolling dung beetles-has shown that nocturnal insects are able to distinguish colors, to detect faint movements, to learn visual landmarks, to orient to the faint pattern of polarized light produced by the moon, and to navigate using the stars.
Mechanisms of the aerosol indirect effects (AIEs) from ice nucleating particles (INPs) are investigated with the cloud-resolving “aerosol–cloud” (AC) model with a hybrid bin–bulk microphysics scheme coupled with a radiation scheme in 1) continental deep convection observed during the Midlatitude Continental Convective Clouds Experiment (MC3E) over Oklahoma and 2) supercooled stratiform clouds obse
This paper investigates resilient performance of Air Traffic Management with future Artificial Intelligence (AI)-based tools. A case study was performed on an early prototype of an AI-enabled Flight Information Service (FIS) tool, using a survey of flight instructors and air traffic controllers, and a focus group with controllers with flying experience. The study focused on what characterizes good
Association of fever and infections with the subsequent risk of atopic diseases in children with genetic susceptibility for T1D: Results from the TEDDY cohort study Pediatr Allergy Immunol. 2025;36:e70209. | 1 of 11 https://doi.org/10.1111/pai.70209 wileyonlinelibrary.com/journal/pai Received: 5 February 2025 | Revised: 9 September 2025 | Accepted: 12 September 2025 DOI: 10.1111/pai.70209 O R I
