MOHAMED Bahache

mahdi nour islam , boudiaf wissal

Towards digitizing the diplma service,university of msila

Chenih, Cheyma , Lakhneche, Fatima Lina

ANOMALY DIAGNOSIS IN WIRELESS BODY AREA NETWORKS

Roqiya Allal , Faten Aichaoui

Conception et Implémentation d'une Application Desktop Pour La Gestion D'un Cabinet Dentaire

Bendjeddou Ayda , Hafidi Hassiba, Debbache Achouak

Une application web pour l’évaluation continue

وحيد و ائل عبد الصمد، يتوجي , صهيب ، حويش ي

تصميم وتطوي ر برنامج لإدارة وتسيير جمعية محلية

راوية بوعزيز , هديل اية الهدى سعدي, وصال هبة الرحمان رداوي

موقع ويب حول عيادة طب العيون

Walid Amali , Ishak Amali, Yacine Mohadi,Izzeddine Geurgueb

A web application for cars rental agency management

Khalfallah Wafa , Benzerrouk Sabrine

ROUTING IN WBANs CLASSIFICATION AND IMPLEMENTATION

Khatim Nafiâ , Reguig Berra Haithem

Web application for distant education

Ramli, Safia , Rahmani, Wissal, Harouz, Nour Elhouda

Une application desktop pour la gestion d’une salle de sport multiples

Menasri, Yassine , Kabouya, Youssef Ramzi

A web application for primary education

Benlaiter mohamed , Touati safwatamel

Conception et réalisation d’une application pour la gestion d’un cabinet dentaire

Guerdouh Fares , Madi Abdelali, Lamri Belkacem

Un site web pour la vente en ligne

Amroune Adem Mahmoude , Lamani Abdelmajide, Baza mohamed nafea.

Application mobile pour gérer les rendez-vous médicaux pour les patients.

Wireless Sensor Networks (WSNs) are important technology for monitoring and gathering data in many applications such as military, environmental monitoring and smart cities. An important issue in WSNs is the efficient deployment of sensor nodes for achieving the network coverage and connectivity with minimum energy dissipation. These traditional methods are inadequate for dynamic or complicated terrains. The deployment of sensor nodes in Wireless Sensor Networks (WSNs) is an important factor that determines the coverage for the network, connectivity of sensor nodes, energy conservation, and operational lifecycle of the WSN.Conventional deployment techniques commonly have difficulty with issues of size and scale, flexibility, and being adaptable to optimize dynamic or large-scale deployment environments. Bioinspired algorithms such as genetic evolution, swarm intelligence, and ecological behaviors, offer robust solutions to these challenges. In this paper, we proposed a multi-objective sensor deployment strategy using the Moth-Flame Optimization (MFO) algorithm, a metaheuristic inspired by moth's action and behavior. The algorithms proposed could be defined as Mult-Objective MFO (MO-MFO) that were used to optimize individual metrics of sensor deployment that covers area, connectivity, and energy efficiency all at once. We constructed trade-offs between the multiple objectives and generated a Pareto-optimal deployment set of deployment solutions. According to simulation results, the MO-MFO algorithm is able to achieve more balanced and robust sensors than conventional and single-objective methods. It is clear to see that the MO-MFO algorithm uses advantageous features such as adaptability of the algorithm, convergence performance, and capability for use in an actual WSN environment with a variety of complexities and heterogeneous components

Citation

Mohamed Bahache , ,(2025-07-03), Optimizing Wireless Sensor Network Deployment Using Multi-Objective Bioinspired Algorithms,Multiple Objective Programming and Goal Programming (MOPGP 2025),Italy

As Internet and Communication Technologies (ICT) evolve, RFID (Radio Frequency Identification) has become essen- tial in healthcare for efficiently tracking and managing tagged medical devices. While RFID tags are extensively used on various healthcare assets, they are exposed to serious security and privacy risks, such as eavesdropping, data tampering, and interception, which threaten the confidentiality of healthcare professionals and patients. Despite the development of multiple lightweight RFID authentication schemes, many still suffer from vulnerabilities like replay, impersonation, and de-synchronization attacks. To address these limitations, we present a robust and efficient RFID authentication scheme designed specifically for IoT-enabled healthcare applications. By integrating Elliptic Curve Cryptog- raphy (ECC), our scheme delivers strong security with a low computational footprint, ensuring resilience against all evaluated attack types. Comprehensive security and performance testing demonstrate that our protocol offers an effective balance of security and efficiency, making it an ideal and secure choice for real-time healthcare environments.

Citation

Mohamed Bahache , Anwar Nour Eddine Bahache , NOUREDDINE Chikouche , FARES Mezrag , ,(2025-01-28), An Efficient ECC-Based Authentication Protocol for Secure RFID Healthcare Applications,THE INTERNATIONAL SYMPOSIUM ON INNOVATIVE INFORMATICS OF BISKRA,universite de Biskra

With the rise of Internet and Communication Technologies (ICT), RFID (Radio Frequency Identification) technology has become indispensable in healthcare for tracking and managing tagged medical devices. Widely deployed across numerous healthcare assets, RFID tags face critical security and privacy challenges, as adversaries can eavesdrop, alter, or intercept transmitted data, compromising the confidentiality of healthcare personnel and patients. Although various lightweight RFID authentication schemes have been proposed to address these risks, many remain vulnerable to attacks, including replay, impersonation, and de-synchronization. To overcome these security limitations, we propose a resilient and efficient RFID authentication scheme tailored for IoT-enabled healthcare applications. Leveraging Elliptic Curve Cryptography (ECC) to ensure high security with minimal computational load, our scheme demonstrates strong resistance to all assessed attack vectors. Rigorous security and performance evaluations confirm that our protocol achieves an optimal balance of security and efficiency, positioning it as a practical and secure solution for real-time healthcare environments.

Citation

NOUREDDINE Chikouche , Noureddine Anwar HEBICHE , FARES Mezrag , Mohamed Bahache , ,(2024-12-10), A new Authentication Protocol for RFID-based healthcare Application,ISIA 2024,Msila

Remote health care has become a necessity and an urgent need, because it ensures the patient’s control in a remote manner, especially concerning elderly peoples who usually suffer from chronic diseases such as diabetes, CVDs, and Parkinson’s, so it has an increasing interest either by industrial companies or academia research, this remote health can be achieved by implanting few internet of medical things or also body sensors on, in or around the patient’s body this is what is called WBANs(Wireless Body Area Networks), these body sensors characterized by their tiny sizes and limited resources (communication, processing or energy), faults is a challenge that must be handled when using or deploying this kind of networks, in this paper we have proposed an approach uses machine learning and exploits the correlation between the vital signs to detect faults in WBANs, the experiment results show that this technique deal better than several other techniques in this literature.

Citation

Mohamed Bahache , ,(2023-11-06), An Accurate Fault Detection System for Wireless Body Area Networks,The 1st National Conference on Electronics, Electrical Engineering, Telecommunications, and Computer Vision,Université de BOUMERDES

Remotely monitoring people’s healthcare is still among the most important research topics for researchers from both industry and academia. In addition, with the Wireless Body Networks (WBANs) emergence, it becomes possible to supervise patients through an implanted set of body sensors that can communicate through wireless interfaces. These body sensors are characterized by their tiny sizes, and limited resources (power, computing, and communication capabilities), which makes these devices prone to have faults and sensible to be damaged. Thus, it is necessary to establish an efficient system to detect any fault or anomalies when receiving sensed data. In this paper, we propose a novel, optimized, and hybrid solution between machine learning and statistical techniques, for detecting faults in WBANs that do not affect the devices’ resources and functionality. Experimental results illustrate that our approach can detect unwanted measurement faults with a high detection accuracy ratio that exceeds the 99.62%, and a low mean absolute error of 0.61%, clearly outperforming the existing state-of-art solutions.

Citation

Mohamed Bahache , Abdou El Karim Tahari, Jorge Herrera-Tapia, Nasreddine Lagraa, Carlos Tavares Calafate, Chaker Abdelaziz Kerrache, , (2022), Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques, Sensor-mdpi, Vol:22, Issue:15, pages:5893, MDPI

The WBAN (Wireless Body Area Network), is a subset of WSN (Wireless Sensor Network), where the fusion between, sensing, pervasive computing, intelligent information processing, and wireless communication is used, healthcare is one of the most important application domains, where a numbered body sensor nodes implanted on, in or around the Hyman body to supervise their vital signs, the limited software and hardware resources lets these body sensor nodes, exposed to faults, statistics, and machine learning techniques are a good choice for fault handling in WBANs, in this paper, we aim to achieve an efficiency comparison between these two techniques.

Citation

Mohamed Bahache , Abdou El Karim Tahari, Nasreddine Lagraa, Chaker Abdelaziz Kerrache, ,(2021), Machine Learning Against Statistics to Detect Faults in WBANs(Wireless Body Area Networks) in Healthcare,NCN2021 The 1st National Conference on recent advances in Networking and Computing Centre universitaire AFLOU-Laghouat-Algerie.,Aflou

With the Coronavirus pandemic showing no signs of abating, companies and governments around the world are spending millions of dollars to develop contactless sensor technologies that minimize the need for physical interactions between the patient and healthcare providers. As a result, healthcare research studies are rapidly progressing towards discovering innovative contactless technologies, especially for infants and elderly people who are suffering from chronic diseases that require continuous, real-time control, and monitoring. The fusion between sensing technology and wireless communication has emerged as a strong research candidate choice because wearing sensor devices is not desirable by patients as they cause anxiety and discomfort. Furthermore, physical contact exacerbates the spread of contagious diseases which may lead to catastrophic consequences. For this reason, research has gone towards sensor-less or contactless technology, through sending wireless signals, then analyzing and processing the reflected signals using special techniques such as frequency modulated continuous wave (FMCW) or channel state information (CSI). Therefore, it becomes easy to monitor and measure the subject’s vital signs remotely without physical contact or asking them to wear sensor devices. In this paper, we overview and explore state-of-the-art research in the field of contactless sensor technology in medicine, where we explain, summarize, and classify a plethora of contactless sensor technologies and techniques with the highest impact on contactless healthcare. Moreover, we overview the enabling hardware technologies as well as discuss the main challenges faced by these systems.

Citation

Mohamed Bahache , JOEL P LEMAYIAN, WENJIN WANG, JEHAD HAMAMREH, , (2020), An Inclusive Survey of Contactless Wireless Sensing: A Technology Used for Remotely Monitoring Vital Signs Has the Potential to Combating COVID-19, RS Open Journal on Innovative Communication Technologies, Vol:1, Issue:2, pages:29, RESEARCH STORE

Wireless sensor networks WSNs are emerging as a new paradigm which is used for a wide range of applications. The traditional architectures of WSN consist of a set of static nodes which are deployed over a geographical area in order to collect data. One of the major challenges in WSNs is the energy usage that has also a large influence on the lifetime of the network. Recently, a new WSN architecture based on mobile elements (MEs) has been proposed which introduces MEs to gather data from static sensors. In this paper, we propose a new cluster-based data gathering protocol in WSN-ME. To define the MEs path, we divide the network into several groups of sensors. Then, the ME visits the center of gravity of each group to collect data from static sensors.

Citation

Mohamed Bahache , ,(2014), Data Gathering Protocol For Wireless Sensor Networks with Mobile Node,ISIA2014,Université de M"sila