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Improving DRX Performance For Emerging Use Cases In 5G

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

All you need is love: Affective practices of caring in Social Enterprises

Social Enterprise (SE) concerns tackling social issues or fulfilling a social mission driven by compassion and empathy, underpinned by an ethic of care (Andre and Pache, 2016). However, market-driven societies have become permeated by a business rationale whereby SE success is too often measured by growth (Chell et al., 2010; Davies et al. 2018). This paper examines transformations in the affectiv

3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting

3D human pose and shape estimation plays a vital role in many computer vision applications. There are many deep learning based methods attempting to solve the problem only relying on single-view RGB images for training the network. However, since some public datasets are captured from multi-view cameras system, we propose a novel method to tackle the problem by putting optimization-based multi-vie

On-demand Key Distribution for Cloud Networks

Emerging fine-grained cloud resource billing creates incentives to review the software execution footprint in virtual environments. Operators can use novel virtual execution environments with ever lower overhead: from virtual machines to containers, to unikernels and serverless functions. However, the execution footprint of security mechanisms in virtualized deployments has either remained the sam

Lic-Sec: An enhanced AppArmor Docker security profile generator

Along with the rapid development of cloud computing technology, containerization technology has drawn much attention from both industry and academia. In this paper, we perform a comparative measurement analysis of Docker-sec, which is a Linux Security Module proposed in 2018, and a new AppArmor profile generator called Lic-Sec, which combines Docker-sec with a modified version of LiCShield, which

Enhancing Resilience of FSO Networks to Adverse Weather Conditions

Optical wireless networks realized by means of gigabit optical wireless communication (OWC) systems are becoming, in a variety of applications, an important alternative, or a complementary solution, to their fiber-based counterparts. However, performance of the OWC systems can be considerably degraded in periods of unfavorable weather conditions, such as heavy fog, which temporarily reduce the eff

Flowrider: Fast On-Demand Key Provisioning for Cloud Networks

Increasingly fine-grained cloud billing creates incentives to review the software execution footprint in virtual environments. For example, virtual execution environments move towards lower overhead: from virtual machines to containers, unikernels, and serverless cloud computing. However, the execution footprint of security components in virtualized environments has either remained the same or eve

Unconventional sources of error in high-resolution wide-swath SAR systems based on scan-on-receive

The scan-on-receive (SCORE) is a key digital beamforming (DBF) technique for future high-resolution wide-swath synthetic aperture radar (SAR) systems. A sharp and high gain receive beam, steered in real time towards the expected direction of arrival (DoA) of the backscattering signal, allows for improved SAR imaging performance with respect to a conventional approach. Nevertheless, it also exposes

Secure Ownership Transfer for Resource Constrained IoT Infrastructures

Internet of Things or IoT deployments are becoming more and more common. The list of use-cases for IoT is getting longer and longer, but some examples are smart home appliances and wireless sensor networks. When IoT devices are deployed and used over an extended time, it is not guaranteed that one owner will control the IoT devices over their entire lifetime. If the ownership of an IoT system shal

Cybersecurity Education in Universities : A Comprehensive Guide to Curriculum Development

The widespread deployment of digital technologies has made the globe an interconnected world. Among other necessities of the digitalized world, cybersecurity is a crucial component. Therefore, education and proper training of the cybersecurity workforce are essential for building a strong national and global community. However, a significant shortage of proficient cybersecurity experts is reported

Empirical formulation for multiple groups of primary biological ice nucleating particles from field observations over Amazonia

To resolve the various types of biological ice nuclei (IN) with atmospheric models, an extension of the empirical parameterization (EP) is proposed to predict the active IN from multiple groups of primary biological aerosol particles (PBAPs). Our approach is to utilize coincident observations of PBAP sizes, concentrations, biological composition, and ice nucleating ability. The parameterization or

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

CCA Security with Short AEAD Tags

The size of the authentication tag represents a significant overhead for applications that are limited by bandwidth or memory. Hence, some authenticated encryption designs have a smaller tag than the required privacy level, which was also suggested by the NIST lightweight cryptography standardization project. In the ToSC 2022, two papers have raised questions about the IND-CCA security of AEAD sch

Practical Privacy-Preserving Ride Sharing Protocol with Symmetric Key

The advancement of mobile technologies and their ability to utilize the Global Positioning System (GPS) to accurately locate their substantial number of users, prompt Location-Based Services (LBS) significantly. Ride-sharing is a popular means of transportation that utilizes LBS. With the rapid development of smart cities and their impact on addressing the critical issues of urban life such as tra

Investigating the impact of tropical deforestation on Indian monsoon hydro-climate: a novel study using a regional climate model

This study uses a state-of-the-art regional climate model (RCM) to examine how tropical deforestation affects the meteorology of the Indian Summer Monsoon (ISM). Incorporating insights from existing research on deforestation by climate scientists, alongside evidence of environmental deterioration in semi-arid, hilly and tropical regions of Southeast Asia, this research seeks to elucidate the criti

Revisiting the Concrete Security of Goldreich's Pseudorandom Generator

Local pseudorandom generators are a class of fundamental cryptographic primitives having very broad applications in theoretical cryptography. Following Couteau et al.’s work at ASIACRYPT 2018, this paper further studies the concrete security of one important class of local pseudorandom generators, i.e., Goldreich’s pseudorandom generators. Our first attack is of the guess-and

Improved guess-and-determine and distinguishing attacks on snow-v

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

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