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Modeling and simulating the sample complexity of solving LWE using BKW-style algorithms

The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for solving the Learning Parity with Noise (LPN) problem, performs well, especially for certain parameter settings with cryptographic importance. The BKW a

Research

Processing of personal data within researchThe lawful ground for personal data processing within research is almost always that it is carried out in the public interest. This means that it is permitted to process personal data if it is necessary for a research project.Depending on the purpose of the research project, you determine which types of personal data need to be processed. Collecting and p

https://www.staff.lu.se/support-and-tools/legal-records-management-and-data-protection/personal-data-and-data-protection-gdpr/area-specific-information/research - 2026-06-07

Intelligent Crossroads Testbed : Toward Autonomous Intersection Management Systems

In the rapidly advancing domain of autonomous vehicle technology, the management of intersection traffic emerges as a demanding challenge. This paper describes the development and implementation of a novel testbed designed for the investigation of an autonomous intersection management system (AIMS). The research primarily focuses on the complex coordination required among autonomous vehicles for e

Cookie policy

This website, lunduniversity.lu.se, uses cookies. A cookie is a small file that is sent to your device when you visit a website. It contains information about how you use the site. This page explains how we use cookies and how you can accept or decline cookies. Cookies help us improve the websiteStatistical cookies help us to understand how visitors use and interact with the website. We use this i

https://www.lunduniversity.lu.se/about-this-website/cookie-policy - 2026-06-07

Constructive Dissonance in the Cloud: Adaptive Out-of-Phase Scheduling for Periodic Tasks

In the realm of cloud computing, the prevalence of intra-phase congestion due to concurrent periodic requests from a multitude of clients frequently results in heightened resource consumption, elongated queuing times, and prolonged response durations. To tackle these challenges, this paper presents a groundbreaking 'Adaptive Out-of-Phase Scheduling' technique, utilizing a server-side PID controlle

The present role of the UN and the adaptation of the UN Charter - The examples of Somalia and the terror attack in N.Y. in 2001

Created in the aftermath of the Second World War, the main task of the UN is the maintenance of international peace and security. Although the UN Charter, signed in San Francisco in 1945, has remained almost the same, the world has changed. In order to adapt the Charter to new upcoming problems two main possibilities exist. The Charter can either be changed itself, following the procedure set fort

Scheduling for Industrial Control Traffic Using Massive MIMO and Large Intelligent Surfaces

Industry 4.0, with its focus on flexibility and customizability, is pushing in the direction of wireless communication in future smart factories, in particular massive multiple-input multiple-output (MIMO), and its future evolution Large Intelligent Surfaces (LIS), which provide more reliable channel quality than previous technologies. As such, there arises the need to perform efficient scheduling

No More Bets: Labour Trafficking through Online Scams in Southeast Asia

This thesis examines an unconventional issue of human trafficking, which has arisen very recently in the Southeast Asia region. An increasing number of scam centres have been identified, wherein trafficking victims were recruited to operate online fraudulent schemes. This emerging trafficking phenomenon exhibits distinctive characteristics compared to the traditional one, including the flow of mig

Systematic fire protection work (SBA)

How we work According to the Swedish law LU Acc, as your landlord, needs to carry out “Systematiskt BrandSkyddsarbete” SBA (Systematic Fire Protection Work).  The things that you as a tenant might notice the most is that the Caretakers carry out monthly accommodation checking’s according to a checklist. This checklist includes making sure that all doors and fire extinguishers are functional, escap

https://www.luaccommodation.lu.se/student-accommodation/living-us/fire-safety/systematic-fire-protection-work-sba - 2026-06-07

Ongoing studies

Here are our ongoing studies! Studies on parent-child relationships and attachment development with joint parental custodyHow does attachment develop when very young children who grow up with joint parental custody (JPC) and alternating between both parents’ homes? Research shows that children in JPC who share their time between the two parental homes seem to be able to develop secure attachment r

https://www.psy.lu.se/en/research/developmental-psychology/evidence-over-conviction/ongoing-studies - 2026-06-07

Lightweight Machine Learning for Seizure Detection on Wearable Devices

For patients with epilepsy, automatic epilepsy monitoring, i.e., the process of direct observation of the patient’s health status in real time, is crucial. Wearable systems provide the possibility of real-time epilepsy monitoring and alerting caregivers upon the occurrence of a seizure. In the context of the ICASSP 2023 Seizure Detection Challenge, we pro- pose a lightweight machine-learning frame

Scheduling of Industrial Control Traffic for Dynamic RAN Slicing with Distributed Massive MIMO †

Industry 4.0, with its focus on flexibility and customizability, is pushing in the direction of wireless communication in future smart factories, in particular, massive multiple-input-multiple-output (MIMO) and its future evolution of large intelligent surfaces (LIS), which provide more reliable channel quality than previous technologies. At the same time, network slicing in 5G and beyond systems

A Comprehensive Robustness Analysis of Storj DCS Under Coordinated DDoS Attack

Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Fil

Italian Deterrence Policies: An examination of the State´s non-entrée policies in response to the migration crisis

The migration crisis of 2015 started when an unprecedented influx of irregular migrants arrived in the EU from the global south. The response from the countries of destination was increased securitization and policies aimed at deterring migrant crossings over the Mediterranean Sea and entering the EU, so called policies of non-entrée. Non-governmental organisations, formed for the purpose of opera

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of state-of-the-art studies in the epilepsy domain currently explore modern machine learning techniques, e.g., deep neural networks, to accurately

Towards Practical Cell-Free 6G Network Deployments: An Open-Source End-to-End Ray Tracing Simulator

The advent of 6G wireless communication marks a transformative era in technological connectivity, bringing forth challenges and opportunities alike. This paper unveils an innovative, open-source simulator, meticulously crafted for cell-free 6G wireless networks. This simulator is not just a tool but a gateway to the future, blending cutting-edge channel models with the simulation of both physical

Enhancing Traffic Flow and Safety in Mixed Vehicle Fleets: Mitigating the Influence of Non-Cooperative Vehicles on Autonomous Intersection Management Systems

With the rapid advancement of autonomous vehicle technology, integrating mixed autonomous and non-autonomous vehicles that are not cooperative in vehicular network has become a significant challenge. This paper presents an innovative Autonomous Intersection Management (AIM) system designed to optimize traffic flow and enhance intersection safety in such mixed traffic scenarios. By utilizing vehicl