Q2SWinet '20: Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks
2020 Proceeding- General Chair:
- Cheng Li,
- Program Chair:
- Ahmed Mostefaoui
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Abstract
With great pleasure, we welcome you to the 2020 ACM symposium on QoS and Security for Wireless and Mobile Networks (ACM Q2SWinet 2020). This year edition was initially planned to be held at Alicante (Spain), but unfortunately, due to Covid-19 pandemic, we moved to remote meeting through video-conferencing tools. Despite this world-wide pandemic situation, Q2SWinet is still attracting academic and industrial interest and confirmed its place as a known meeting point for exchanging ideas, sharing experiences and discussing solutions among researches and professionals. This year's edition proposes an exciting program covering broad issues on QoS and security in wireless and mobile networked systems as well as in IoT systems.
The call for paper attracted submissions from Europe (France, Italy, etc.), North America (USA and Canada), South America (Brazil, etc.), Asia (China, etc.) and Africa as well, which demonstrate the international dimension of the symposium. The program committee reviewed all papers and accepted 17 technical papers for presentation, which represents an acceptance ratio of 27%.
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SESSION: Session 1: Radio Communication
research-article
Evaluation of SAC-OCDMA System Performance in Terms of BER and Q-Factor Using FBGs and M-Sequence Code
In this paper, we investigate the performance of Spectral Amplitude Coding $-$ Optical Code Division Multiple Access (SAC-OCDMA) system using the m-sequence code as a signature sequence for the coding and the decoding processes. The first simulations ...
research-article
A Robust Optimization Approach for Designing FTTx Networks Integrating Free Space Optics under Weather Uncertainty
We address the problem of designing a 3-architecture telecommunication access networks that combines optical fiber- and copper-based access technologies with Free Space Optics (FSO) technology. We propose a mixed integer linear programming model for ...
research-article
What can Machine Learning do for Radio Spectrum Management?
The opening of the unlicensed radio spectrum creates new opportunities and new challenges for communication technology that can be faced by Machine Learning techniques. In this work, we discuss the potential benefits and the challenges with reference to ...
SESSION: Session 2: Security 1
section
research-article
Novelty-based Intrusion Detection of Sensor Attacks on Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) have proven to be a useful technology in numerous industries including industrial control systems surveillance, law enforcement, and military operations. Due to their heavy reliance on wireless protocols and hostile ...
research-article
A Memory-efficient Group Key Managment for Communicating Things
Recent advances in emerging technologies gave birth to new parading of networks calledInternet of Things (IoT). The emergence of such communicating objects has led practitioners to envision networking a large number of sensors for event monitoring, data ...
research-article
Network Anomaly Detection Using LSTM Based Autoencoder
Anomaly detection aims to discover patterns in data that do not conform to the expected normal behaviour. One of the significant issues for anomaly detection techniques is the availability of labeled data for training/validation of models. In this paper,...
SESSION: Session 3: QoS
section
research-article
Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices
Video streaming on mobile devices necessitates a balance between a users' Quality of Experience (QoE) and energy consumption. Given large data sizes from video, extensive amounts of battery power are required for downloading, processing, and playing ...
research-article
A Supervised Machine Learning Approach for DASH Video QoE Prediction in 5G Networks
Future fifth generation (5G) networks are envisioned to provide improved Quality-of-Experience (QoE) for applications by means of higher data rates, low and ultra-reliable latency and very high reliability. Proving increasing beneficial for mobile ...
research-article
SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading
With the pervasiveness and growth in media technology, user-generated content has become intertwined with our day-to-day life. Such advancements, however, have enabled the exponential growth in media file sizes, which leads to shortage of storage on ...
SESSION: Session 4: IoT Systems
section
research-article
Data Redundancy Management in Connected Environments
Connected environments are typically defined as physical infrastructures (e.g., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include ...
research-article
Deep Learning for Resource-Limited Devices
In recent years, deep neural networks have revolutionized the development of intelligent systems and applications in many areas. Despite their numerous advantages and potentials, these intelligent models still suffer from several issues. Among them, the ...
research-article
A Vertex-centric Markov Chain Algorithm for Network Clustering based on b-Coloring
The massive size and complexity of big datasets such as those coming from social, natural and sensor environments raise utmost challenges to unsupervised cluster analysis methods in terms of performance scalability in designing algorithms, also ...
SESSION: Session 5:Mobile/Edge Computing
research-article
Hybrid Inspector-Inspectee-Agent Games in Mobile Cloud Computing
Within the paradigm of Mobile Cloud Computing (MCC) mobile devices such as mobile phones and tablets can unload computation to a local Cloud consisting of both static and mobile devices. Due to the proximity, such Cloud can better fulfill service and ...
research-article
Model-Oriented Methodology for Developing a Social Based Healthcare System
Globally, the number of dependent elderly people is expected to increase significantly in the coming years. This increase requires the need to develop remote health care monitoring systems to meet the major challenges associated with aging. These issues ...
research-article
An Energy Efficient Architecture of self-sustainable WSN based on Energy Harvesting and Wireless Charging with Consideration of Deployment Cost
Energy efficiency is a major issue in self-sustainable Wireless Sensor Networks (WSNs) since they operate without battery replacement.Recent works introduce the Energy Harvesting (EH) technique that limits battery dependency of sensors to benefit from ...
SESSION: Session 6: Security 2
section
research-article
Adversarial Patches-based Attacks on Automated Vehicle Make and Model Recognition Systems
The recent works on automated vehicle make and model recognition (VMMR) have embraced the use of advanced deep learning models such as convolutional neural networks. In this work, we introduce an adversarial attack against such VMMR systems through ...
research-article
A Realistic Model for Rescue Operations after an Earthquake
When a natural disaster occurs, emergency responders need information and real-time imagery in order to make better decisions and save time. Unmanned aerial vehicles (UAVs) used by emergency services, such as police officers or firefighters, can rapidly ...
research-article
A Performance Evaluation of Time-Series Mobility Prediction for Connected Vehicular Networks
The role of connected vehicular networks has become vital for the future of smart and modern cities, as it can be envisioned as a stand alone connected network or a bridge between various networks, and end-users. Vehicular networks design provides ...
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(auto-classified)Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks