Search Results - "Salahdine, Fatima"

Social Engineering Attacks: A Survey by Salahdine, Fatima, Kaabouch, Naima

“…The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive…”
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5G, 6G, and Beyond: Recent advances and future challenges by Salahdine, Fatima, Han, Tao, Zhang, Ning

“…With the high demand for advanced services and the increase in the number of connected devices, current wireless communication systems are required to expand…”
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A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning by Benazzouza, Salma, Ridouani, Mohammed, Salahdine, Fatima, Hayar, Aawatif

“…Cooperative network is a promising concept for achieving a high-accuracy decision of spectrum sensing in cognitive radio networks. It enables a collaborative…”
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Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions by Naitali, Amal, Ridouani, Mohammed, Salahdine, Fatima, Kaabouch, Naima

“…Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These…”
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A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks by Khazane, Hassan, Ridouani, Mohammed, Salahdine, Fatima, Kaabouch, Naima

“…With the rapid advancements and notable achievements across various application domains, Machine Learning (ML) has become a vital element within the Internet…”
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Towards Secure and Intelligent Network Slicing for 5G Networks by Salahdine, Fatima, Liu, Qiang, Han, Tao

“…Network slicing is one of the emerging technologies allowing resource sharing among different network entities in 5G networks. It enables delivering smart,…”
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Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks by Benazzouza, Salma, Ridouani, Mohammed, Salahdine, Fatima, Hayar, Aawatif

“…Recently, the chaotic compressive sensing paradigm has been widely used in many areas, due to its ability to reduce data acquisition time with high security…”
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Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey by Salahdine, Fatima, Kaabouch, Naima

“…Cyber-security threats and issues have been exponentially increasing over the last two decades, including in cognitive radio networks. These attacks and…”
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Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks by Salahdine, Fatima, Kaabouch, Naima, El Ghazi, Hassan

“…For wideband spectrum sensing, compressive sensing has been proposed as a solution to speed up the high dimensional signals sensing and reduce the…”
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Security in 5G and beyond recent advances and future challenges by Salahdine, Fatima, Han, Tao, Zhang, Ning

“…5G, 6G, and beyond (xG) technologies aim at delivering emerging services with new requirements and challenges, enabling full and hyper mobile connectivity over…”
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A survey on compressive sensing techniques for cognitive radio networks by Salahdine, Fatima, Kaabouch, Naima, El Ghazi, Hassan

“…In cognitive radio, one of the main challenges is wideband spectrum sensing. Existing spectrum sensing techniques are based on a set of observations sampled by…”
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A survey on sleep mode techniques for ultra-dense networks in 5G and beyond by Salahdine, Fatima, Opadere, Johnson, Liu, Qiang, Han, Tao, Zhang, Ning, Wu, Shaohua

“…The proliferation of mobile users with an attendant rise in energy consumption mainly at the base station has requested new ways of achieving energy efficiency…”
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A novel secure cooperative cognitive radio network based on Chebyshev map by Ridouani, Mohammed, Benazzouza, Salma, Salahdine, Fatima, Hayar, Aawatif

“…Cooperative networks have been proposed as an efficient solution to improve the detection capability of a cognitive radio system. This type of networks is…”
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A novel spectrogram based lightweight deep learning for IoT spectrum monitoring by Benazzouza, Salma, Ridouani, Mohammed, Salahdine, Fatima, Hayar, Aawatif

“…The integration of cognitive radio network (CRNet) with internet of things (IoT) holds tremendous potential for creating more intelligent and advanced…”
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A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks by Salahdine, Fatima, Kaabouch, Naima, El Ghazi, Hassan

“…Summary Compressive sensing has been proposed as a low‐cost solution for dynamic wideband spectrum sensing in cognitive radio networks. It aims to accelerate…”
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Short-Term Traffic Congestion Prediction with Deep Learning for LoRa Networks by Salahdine, Fatima, Aggarwal, Shobhit, Nasipuri, Asis

“…Real-time prediction of traffic congestion enables intelligent transportation systems to improve traffic mobility, reduce delays, and enhance road safety. In…”
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A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication by Arjoune, Youness, Salahdine, Fatima, Islam, Md. Shoriful, Ghribi, Elias, Kaabouch, Naima

“…Jamming attacks target a wireless network creating an unwanted denial of service. 5G is vulnerable to these attacks despite its resilience prompted by the use…”
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Compressive Spectrum Sensing for Cognitive Radio Networks by Salahdine, Fatima

“…A cognitive radio system has the ability to observe and learn from the environment, adapt to the environmental conditions, and use the radio spectrum more…”
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Spectrum Sensing Techniques For Cognitive Radio Networks by Salahdine, Fatima

“…In this chapter, we present the state of the art of the spectrum sensing techniques for cognitive radio networks as well and their comparisons. The rest of the…”
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A real time spectrum scanning technique based on compressive sensing for cognitive radio networks by Salahdine, Fatima, El Ghazi, Hassan

“…This paper describes a real time spectrum scanning method using software defined radio (SDR) units to perform and evaluate the wideband spectrum occupancy…”
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