Program - CSA 2024

CSA2024

CSA2024

The 6^th Conference on Computing Systems and Applications

23-24 April 2024, Algiers, Algeria

Program

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Day 1: April 23, 2024
07h30 – 08h45	Registration and Coffee
09h00 – 09h15	Opening Ceremony Amphi B
09h15 – 10h15	Keynote I Prof. Elhadj BENKHELIFA Amphi B Keynote I: How to do cyber Security that works and why it often doesn’t Prof. Elhadj BENKHELIFA, Staffordshire university, UK Conference Chairs : Prof. Riyadh BAGHDADI & Prof. Kadda BEGHDAD BEY 09h15 – 10h15 Amphi B Abstract: In the ever-evolving landscape of digital threats, the imperative for robust cybersecurity measures cannot be overstated. Despite over four decades of dedicated research and substantial investments to secure our systems and critical infrastructures, the persistent escalation in both the quantity and impact of cyber breaches remains undeniable. Leveraging my experience and research in the field, this presentation delves into the profound disparity between the theoretical underpinnings of effective cybersecurity and the practical obstacles that consistently hinder successful implementation. Drawing on my insights, I aim to persuade the audience of the underlying causes contributing to this "failure." While the conventional approaches of constructing cybersecurity solutions with a focus on fortified defences is undeniably crucial, an exclusive reliance on this approach falls short in today's dynamic threat landscape. Consequently, a pivotal shift towards embracing cybersecurity resilience has become imperative, for forward looking strategies. Cybersecurity resilience, characterised by an organisation's ability to foresee, withstand, recover from, and adapt to cyber threats, emerges as a decisive direction. This presentation advocates for a holistic cybersecurity approach, emphasising the necessity to revisit fundamental principles and consider unconventional solutions, where complex problems do not always demand intricate solutions. I will spotlight some of the ongoing and prospective projects undertaken by my team, showcasing practical applications of the principles discussed throughout the presentation.
10h15 – 10h55	Souvenir photo and Coffee-Break
11h00 – 12h00	Keynote II Prof. Riyadh BAGHDADI Amphi B Keynote II: Accelerating Deep Learning through Automatic Code Optimization Prof. Riyadh BAGHDADI, NYU Abu Dhabi Conference Chairs: Prof. Elhadj BENKHELIFA & Dr. Yacine AMARA 11h00 – 12h00 Amphi B Abstract: Accelerating deep learning is extremely important today. It enables the deployment of complex neural networks on embedded devices unlocking the power of deep learning and its applications in many areas, ranging from drones and driverless cars to smartphones and robots. It also enables the training of large neural networks more efficiently. In this presentation we will talk about a method to accelerate neural networks through compiler code optimizations. We propose a novel deep learning cost model that enables automatic code optimization in compilers.
12h15 – 13h35	Lunch
13h40 – 15h00	Oral Session 1 Artificial Intelligence and Data Science Amphi B Oral Session 1 Artificial Intelligence and Data Science Session Chairs : Prof. Sid-Ahmed BERRANI Dr. M’hamed MATAOUI 13h40 – 15h00 Amphi B Wafa MELLOUK and Wahida HANDOUZI, “Multimodal Contactless Human Stress Detection Using Deep Learning”. Ali BAALOUL, Nadjia BENBLIDIA, Abdelkader OUARED and Fatma Zohra REGUIEG, “Arabic lipreading using YOLO and CNN models”. Ilyes OUKID, Said Yacine BOULAHIA and Abdenour AMAMRA, “Investigating Person Attribute Recognition in Challenging Environments”. Fethi OURGHI, Abdenour AMAMRA and Youcef AZRI, “Layer-wise Compression Analysis of CNN Architectures: Insights from VGG16”.	Oral Session 2 Cyber Security and Privacy Amphi CEDOC 1 Oral Session 2 Cyber Security and Privacy Session Chairs : Prof. Hassina NACER Prof. Tayeb KENAZA 13h40 – 15h00 Amphi CEDOC 1 Abdelhak MESBAH, Ibtihel BADDARI and Mohamed Amine RIAHLA, “Longitudinal Evaluation of Android Malware Detection Using Deep Learning Classifiers”. Takieddine BOUMEDIRI, Islam DEBICHA and Tayeb KENAZA, “Addressing Poisoning Attacks against Federated Intrusion Detection Systems in Internet of Healthcare Things”. Salim KHEMIS and Yacine AMARA, “A Dynamic Heuristic Search for Textual Adversarial Attacks”. Chafika Amina LAMMARI, Naima BESSAH and Anfel BOUROUINA, “DDPG-PER for an IRS-Aided Secure Wireless Communication”.	Oral Session 3 Information Systems and Software Engineering Amphi CEDOC 2 Oral Session 3 Information Systems and Software Engineering Session Chairs : Prof. Samir KECHID Dr. Faouzi SEBBAK 13h40 – 15h00 Amphi CEDOC 2 Mohammed Bekkouche, “Model Checking-Enhanced Spectrum-Based Fault Localization”. Radouane BOUCHEKIR, Fatiha OUAZAR and Malika IOUALALEN, “SGSN: Tool Support for GSN Development”. Kanza OUARI, Malika IOUALALEN and Ahmed HAMMAD, “SysML model-driven development for digital twins”. Hadjer BECHINIA, Djamel BENMERZOUG and Nawres KHALIFA, “Enhanced ECG Signals Classification with Image-Driven Ensemble Deep Transfer Learning”.
15h05 – 15h35	Coffee-Break
15h40 – 17h00	Oral Session 4 Computer Vision and Graphics Amphi CEDOC 1 Oral Session 4 Computer Vision and Graphics Session Chairs : Prof. Saliha AOUAT Dr. Abdenebi ROUIGUEB 15h40 – 17h00 Amphi CEDOC 1 Elias BOULHAM, Mokhtar TAFFAR and Mouad BENSOUILAH, “Efficient End-To-End Deep Learning Model For Algerian Drug Label Recognition”. Youcef AZRI, Abdenour AMAMRA, Yacine AMARA and Fethi OURGHI, “Exploring the Extremes of Two-Layer Convolutional Autoencoders Architecture in Image Inpainting”. Mahdi HADEF, Lotfi GANA, Said Yacine BOULAHIA and Abdenour AMAMRA, “Enhancing Diabetic Retinopathy Identification through Novel Image Representation and Hybrid CNN-Transformer Segmentation”. Faycal TOUAZI, Djamel GACEB, Nesrine BOUDISSA and Siham ASSAS, “Enhancing Breast Mass Cancer Detection Through Hybrid Vit-Based Image Segmentation Model”.		Oral Session 5 Computer Networks Amphi CEDOC 2 Oral Session 5 Computer Networks Session Chairs : Prof. Fayçal BOUYAKOUB Dr. Zakaria SAHRAOUI 15h40 – 17h00 Amphi CEDOC 2 Omar KERMIA, Ibrahim MEZZAH and Ramdane KECHAD, “Memory-aware Scheduling for Time-sensitive Many-core Systems”. Yakoub MORDJANA, Badis DJAMAA and Mustapha Reda SENOUCI, “Efficient Congestion and Popularity-aware Caching Solution for Named Data Networking”. Issam Eddine LAKHLEF, Badis DJAMAA and Mustapha Reda SENOUCI, “Multicast Routing over Industrial Internet of Things”. Mhamed El Amine AMEUR, Habiba DRIAS and Bouziane BRIK, “When Curriculum Learning Meets Multi-agent DRL in Connected Autonomous Vehicles” .

Day 2: April 24, 2024
08h30 – 09h50	Oral Session 6 Distributed Systems Amphi CEDOC 1 Oral Session 6 Distributed Systems Session Chairs Prof. Mustapha Reda SENOUCI Dr. Badis DJAMAA 08h30 – 09h50 Amphi CEDOC 1 Ahmed ABDELLI, Ali YACHIR and Abdenour AMAMRA, “Multi-agent Deep Reinforcement Learning for Self-organized Aggregation of a Swarm of Robots”. Hadjira Belaidi, Fethi Demim, Adel Mezhary, Abdenebi Rouigueb, Sofiane Yahoui and Abdelkrim Nemra, “Enhanced Navigation based Obstacle Avoidance and Target Tracking with Raspberry-Pi for Mobile Robots”. Fatma Zohra LEBIB, Ichrak DJEBRIT and Khadidja MAHMOUDI, “Matrix Factorization for cloud service recommendation based on social trust”. Khaled aimen HAFIANI, Adil Imad Eddine HOSNI, Islam BAIRA, Hichem MERINI and Kadda BEGHDAD BEY, “Adaptive Approach for Rumors Influence Minimization in Dynamic Social Networks”.		Oral Session 7 Optimisation and Operational Research Amphi CEDOC 2 Oral Session 7 Optimisation and Operational Research Session Chairs: Prof. Hamamache KHEDDOUCI Dr. Mohamed MAIZA 08h30 – 09h50 Amphi CEDOC 2 Abdelbaki BENAYAD, Amel BOUSTIL, Yassine MERAIH, Selma YAHIA and Sylia MEKHMOUK, “Solving LEDs Placement Problem in Indoor VLC System using an efficient Coronavirus Herd Immunity Optimizer”. Hind ABDI and Ali BERRICHI, “Assuming Carbon Tax in a Simultaneous Production & Maintenance Planning Optimization”. Abdelkader HADJ-ATTOU, Yacine KABIR and Farid YKHLEF, “IoT Based Road Surface Condition Monitoring using Spatiotemporal Feature Learning”. Oussama Sohaib MAZARI, Abderrazak SEBAA and Francisco MARTÍNEZ-ÁLVAREZ, “Space-Time clustering of seismicity in Algeria”.
09h50 – 10h50	Coffee-Break and Poster Session Coffee-Break and Poster Session Poster Session Session Chairs: Dr. Oualid DEMIGHA Dr. Abdelhamid BOUDANE Dr. Akram BENATIA Dr. Said Yacine BOULAHIA 09h50 – 10h50 HALL CEDOC Nassima DIF, Mohamed Amine ABDELALI, Mohamed El Amine BOUDINAR, Jesia Asma BENCHOUK, Sidi Mohamed BENSLIMANE, “ Breast Density Prediction from Mammograms: a Comprehensive Review”. Mohamed Chakib AMRANI, Mhamed MATAOUI, Kadda BEGHDAD BEY and Abdellah HAMOUDA SIDHOUM, “Leveraging Large Language Models and Knowledge Graphs for Advanced Biomedical Question Answering Systems”. Dehbia AHMED ZAID, Badis DJAMAA and Akrem BENATIA, “Learning N:M Structured Sparse Neural Networks from Scratch: a Comparative Study”. Nesrine BOUDOUKHANI, Zakaria ELBERRICHI and Latefa OULLADJI, “Deep Learning for Effective Tuberculosis Detection from Chest Radiographs: A Comparative Study”. Amina BRIBER and Youcef CHIBANI, “Effective Writer Identification from Text Fragments Using Lightweight Convolutional Autoencoder”. Ghania BOUKHELIFA and Youcef CHIBANI , “On the Joint Use of CNN and OC-PCA Classifier for Cross-Domain Potato Disease Identification”. Souhila BOUTARFA and Smara Youcef, “New Adaptive PolSAR Speckle Filtering based on Sigma Edge Detection”. Amel SEKKIOU, Ouassila HIOUAL and Ouided HIOUAL, “Fault tolerant Aware scheduling on IoT Systems: a Comparative Study”. Hichem MERINI, Adil imad eddine HOSNI and Kadda BEGHDAD BEY, “Graph Neural Network based Approach CHEfor Restraining Misinformation Propagation in Online Social Networks”.
11h00 – 12h00	Keynote III Prof. Hamamache KHEDDOUCI Amphi B Keynote II: Bridges between graph-theoretical models and real graphs Prof. Hamamache KHEDDOUCI, Claude Bernard Lyon 1 University, France Conference Chairs: Prof. Kadda BEGHDAD-BEY & Dr. Lamia SADEG 11h00 – 12h00 Amphi B Abstract: The recent advances in data acquisition and production have led to the generation of very large volumes of (complex) data. Indeed, conventional systems are not able to respond to the issues related to the storage, exploration and analysis of Big Data. Graphs are powerful models that can capture different relationships between data, give them a better representation and facilitate their exploration. However, the graphs obtained from these large datasets are usually too large and heterogenous. Their exploration requires new and effective tools. This brings new research issues. In this talk, we will discuss some real graph data locks and their equivalent issues in graph theory. We will present some theoretical results on graphs that could contribute to solve big data and cybersecurity issues.
12h00 – 12h30	Closing Ceremony and Best Paper Award Amphi B

Computing Systems and Applications Conference, EMP, 2024.