PhD in Electrical and Computer Engineering, Ryerson University, Toronto, Canada
RESEARCH, TEACHING, or OTHER INTERESTS
Communication, Electrical and Electronic Engineering
11
Scopus Publications
101
Scholar Citations
6
Scholar h-index
5
Scholar i10-index
Scopus Publications
Malware Analysis in Cyber Security based on Deep Learning; Recognition and Classification Mohamed Elalem, Tahani Jabir Proceeding 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering Mi Sta 2023, 2023 Cyber security in wireless communications can be an unwieldy subject, given the amount of malware that has been increasing rapidly in the last few years. This generates serious security problems for public agencies and the government institutions. In order to mitigate the influence of malware deployment and pervasiveness, new recent identification and classification algorithms for malware that adapt deep learning techniques are studied and figured out based on their features and behaviors. This study introduces a deep learning algorithm to identify different malware families. To implement the proposed approach, malware color-based images (RBG) are used directly. Then these malware images are identified and classified by considering the benefits of leveraged Convolutional Neural Networks (CNNs), which have the ability to automatically extract those features. A challenging malware classification experiment using the MaleVis dataset confirms that the adapted model outperforms better functional classification compared to the traditional machine learning models and achieves very good accuracy based on the MaleVis dataset.
Effective capacity with interference constraints in multichannel spectrum sharing system Mohamed Elalem International Conference on Research and Innovation in Information Systems Icriis, 2013 The performance of multichannel transmission in spectrum sharing system is studied in this paper. Both QoS constraints and interference limitations are considered. The activities of the primary users (PU)s are initially detected by secondary users (SU)s who perform sensing process over multiple channels. They transmit in a single channel at variable power and rates depending on the channel sensing decisions and the fading environment. The cognitive operation is modeled as a state transition model in which all possible scenarios are studied. The QoS constraint of the secondary users is investigated through statistical analysis. Analytical form for the effective capacity of the cognitive radio channel is found. Optimal power allocation and optimal channel selection criterion are obtained. Impact of several parameters on the transmission performance, as channel sensing parameters, number of available channels, fading and others, are identified through numerical example.
Effective capacity optimization for cognitive radio network based on underlay scheme in gamma fading channels M. Elalem, Lian Zhao 2013 International Conference on Computing Networking and Communications Icnc 2013, 2013 As fundamental spectrum sensing and access techniques in cognitive radio networks (CRN) matured in last decade, the satisfaction of quality-of-service (QoS) demands for cognitive users (CU) has attracted lots of research attention. In this paper, we study how the delay QoS requirements affect the dynamic spectrum access (DSA) strategy on network performance. We first treat the delay-QoS in interference constrained cognitive radio network by applying the effective capacity theory, focusing on the dominant DSA scheme: underlay. We show that the roles that the transmit-power/interference-power constraints play in optimizing CUs' throughput vary significantly with the delay QoS requirements. Performance analysis and numerical evaluations are provided to demonstrate the effective capacity of CRN based on underlay scheme, taking into consideration the impact of delay QoS requirements and other related parameters.
Effective capacity optimization based on overlay cognitive radio network in gamma fading environment Mohamed Elalem, Lian Zhao IEEE Wireless Communications and Networking Conference Wcnc, 2013 Traditionally, the frequency spectrum is licensed to users who have the exclusive right to access the allocated band. However, an unlicensed (cognitive) user may share a frequency band with a licensed (primary) owner as long as the interference is below a certain threshold. This makes capacity analysis a critical important issue in these networks. Lots of research on cognitive radio (CR) networking have now focused on the satisfaction of quality-of-service (QoS) demands for cognitive users (CU). In this paper, we study how the delay QoS requirements affect the dynamic spectrum access (DSA) strategy on network performance. We treat the delay-QoS in interference constrained cognitive radio network by applying the effective capacity concept, focusing on one of the dominant DSA schemes: overlay. Optimal power allocation scheme is obtained. This scheme considers the transmit-power/interference-power constraints and the primary user activity. Performance analysis and numerical evaluations demonstrate the proposed effective capacity optimization on the DSA overlay scheme. The impact of delay QoS requirements and other related parameters are evaluated as well.
Optimal access strategy for capacity optimization in cognitive radio system Mohamed Elalem, Lian Zhao IEEE Wireless Communications and Networking Conference Wcnc, 2013 Well-established fact shows that fixed spectrum allocation policy conveys to the low spectrum utilization. The cognitive radio technique promises to improve the low efficiency. This paper proposes an optimized access strategy combining overlay scheme and underlay scheme for the cognitive radio. We model the service state of the system as a continuous-time Markov model. Based on the service state, the overlay manner or the underlay manner is used by the secondary users. When the primary user is not transmitting and only one secondary user has the requirement to transmit, the secondary system adopts the overlay scheme. When the primary user is transmitting and the secondary users want to transmit simultaneously, an underlay scheme with an access probability is adopted. We obtain the optimal access probability which maximizes the overall system throughput.
Effective capacity and interference constraints in multichannel cognitive radio network Mohamed Elalem, Lian Zhao IEEE Wireless Communications and Networking Conference Wcnc, 2013 In this paper, the performance of multichannel transmission in cognitive radio is studied. Both QoS constraints and interference limitations are considered. The activities of the primary user (PU) are initially detected by cognitive user (CU) who performs sensing process over multiple channels. The CU transmits over a single channel at variable power and rates depending on the channel sensing decision and the fading environment. The cognitive operation is modeled as a state transition model in which all possible scenarios are studied. The QoS constraint of the cognitive user is investigated through statistical analysis. Analytical form for the effective capacity of the cognitive radio channel is found. Optimal power allocation and optimal channel selection criterion are obtained. Impact of several parameters on the transmission performance, as channel sensing parameters, number of available channels, fading and others, is demonstrated through numerical example.
Novel power control algorithm by decomposed Geometric Programming method for CDMA cognitive radio networks Mohamed Elalem IEEE International Conference on Communications, 2012 Traditionally, the frequency spectrum is licensed to users in a rigid manner where the licensee has the exclusive right to access the allocated band. However, an unlicensed (cognitive) user may share a frequency band with a licensed (primary) owner as long as the interference is below a certain threshold. This makes power control a critical important issue in these networks. In this paper, we consider a decentralized power control algorithm that satisfies the most two significant metrics in cognitive radio network, capacity of cognitive network and total interference to primary users. The problem might be formulated as a power optimization problem, where rate allocation and power control are modeled through the objective function in which each user utility depends not only on its variables but also on the variables of other user utilities. Geometric Programming (GP) Problem is used to convert nonconvex optimization problem to convex optimization problem by introducing auxiliary variables and adding extra equality constraints, thus transferring the coupling in the objective to coupling in the constraints, which can be decoupled by primal-dual decomposition method, then can be efficiently solved even with a large number of users. The benefits of the method are illustrated through numerical results.
Traditional distributed power control algorithms for cognitive radio network Mohamed Elalem, Lian Zhao Proceedings of the 2011 6th International Icst Conference on Communications and Networking in China Chinacom 2011, 2011 In order to utilize the spectrum efficiently, the FCC announced Cognitive Radio (CR) technology as a candidate to implement negotiated or opportunistic spectrum sharing. It has received a great attention due to the ability to improve the spectrum utilization. In such a CR network, power control can increase the efficiency by adjusting the transmission power of the secondary users (SU). In this paper, we propose an adaptive distributed power control scheme for CR networks where the conventional power control schemes used in cellular system are modified to be used in cognitive radio network to consider the QoS requirements of both the Primary User (PU) and the SU simultaneously. Since the transmission power of each SU is constrained so that the interference temperature at the primary receiver caused by all SUs does not exceed the interference tolerance of the PU. As a result, the QoS requirement for the PU is always guaranteed.
Interference mitigation using power control in cognitive radio networks Mohamed Elalem, Lian Zhao, Zaiyi Liao IEEE Vehicular Technology Conference, 2010 One of the challenging problems of cognitive radio networks is the interference which occurs when a cognitive radio accesses a licensed band but fails to notice the presence of the licensed user. To allow the cognitive radio to access the same spectrum band where the primary user is operating creates a problem, the cognitive radio may interfere with the primary system, and hence degrading the quality of service for the primary receiver. This paper presents an adaptive power control scheme for cognitive radio. The proposed scheme estimates the distance between the primary user and the cognitive radio, using the SNR as proxy for distance. On the basis of this information the cognitive radio adaptively changes its maximal transmit power to prevent the primary user from harmful interference. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.
Realistic user distribution and its impact on capacity and coverage for a WCDMA mobile network Mohamed Elalem, Lian Zhao 2009 IEEE Sarnoff Symposium Sarnoff 2009 Conference Proceedings, 2009 WCDMA is becoming widely accepted as one of the most promising solutions to meet the increasing demand for high-capacity wireless networks of the future. The most important inherent characteristic of WCDMA systems is their interference-limited capacity. The user distribution is a very important issue. In most previous studies it is assumed that the spatial distribution of the users is uniform within the cell. This paper presents a study of the effect of a selected user distribution on the performance of a WCDMA cellular system. A more realistic user distribution is chosen with specific parameters and a new interference distribution factor is developed as a function of these parameters. The capacity and coverage are compared for the uniform and nonuniform user distributions.
Uplink Capacity Coverage Product in CDMA mobile networks Proceedings of the 8th IASTED International Conference on Wireless and Optical Communications Woc 2008, 2008
RECENT SCHOLAR PUBLICATIONS
Modulation Scheme Recognition Based on CNN Deep Learning Techniques S Abdalnour, M Elalem 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences … , 2026 2026
Enhancing Indoor Localization Accuracy: A Comparative Study of Decision Tree and Random Forest Algorithms as Successors to KNN-based Approaches M Aboughalia, MA Elalem 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences … , 2026 2026
Particle Swarm-Optimized Hybrid Beamforming for Spectral Efficiency in mmWave MIMO Systems I Ismail, M Elalem 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences … , 2026 2026
Machine Learning Approaches for Indoor Positioning: a Case Study on KNN vs WKNN-Inv and WKNN-Cos M Aboughlia, MA Elalem Gharyan University Journal of Engineering Science (GUJES) 2 (1), 1-10 , 2026 2026 Citations: 1
Scalable Uplink Combining in Cell-Free Massive MIMO under Practical Fading and Centrized Processing MH Abuzgaia, MA Elalem Gharyan University Journal of Engineering Science (GUJES) 2 (1), 47-62 , 2026 2026
Implementing Zigbee Networks for Monitoring and Tracking Electricity Meters MA Mohammed Altayib ,Mohamed A. Elalem (2024): The Sixth Conference to Engineering Sciences and Technology (CEST-6 … , 2024 2024
Malware Analysis in Cyber Security based on Deep Learning; Recognition and Classification M Elalem, T Jabir 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences … , 2023 2023 Citations: 12
Advanced Communication Systems M Elalem 2023
Dynamic Pricing to Maximize Mobile Network Revenue:(Almadar Aljadeed: Case Study) M Elalem Elmergib Journal Of Electrical and Electronic Engineering ISSN: 2959-0450 1 … , 2022 2022
BER Performance of SISO-OFDM Scheme based on FFT over an AWGN Channel N Ahwaas, M A, Elalem International Journal of Advances in Computer and Electronics Engineering … , 2021 2021 Citations: 1
Average Delay with Different Priorities for SecondaryUser in Cognitive Radio Networks S Merad, A Eshahiry, M Elalem International Journal of Latest Engineering Research and Applications … , 2021 2021
Decision-Making Rules in Cooperative Cognitive Radio Networks: Evaluation and Comparison MA Abunab, MA Elalem 2020
Open Transport Network OTN A Shahran, M Elalem International Journal of Latest Engineering Research and Applications … , 2019 2019
Optimization of coverage and handover for heterogeneous networks R Almosbahi, M Elalem International Journal of Advanced Research and Publications 3 (3), 213-219 , 2019 2019 Citations: 2
Proceedings of First Conference for Engineering Sciences and Technology M Elalem CEST-2018 1 , 2018 2018
Wirelessly Monitoring Patients Based on E-Health Sensors M Elalem Scientific and Engineering Journal, Higher Institution of Sciences and … , 2018 2018 Citations: 1
Effective Capacity Analysis for Cognitive Networks under qos Satisfaction M Elalem, L Zhao Journal of Information Sciences and Computing Technologies 5 (3), 498-518 , 2016 2016 Citations: 3
Capacity maximization in dynamic spectrum sharing based on optimal access probabilities M Elalem 2014 4th International Conference on Wireless Mobile Communication and … , 2014 2014 Citations: 1
Capacity optimization for radio resource allocation in cognitive networks M Elalem Toronto Metropolitan University , 2014 2014
Effective capacity with interference constraints in multichannel spectrum sharing system M Elalem 2013 International Conference on Research and Innovation in Information … , 2013 2013 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Interference mitigation using power control in cognitive radio networks M Elalem, L Zhao, Z Liao 2010 IEEE 71st Vehicular Technology Conference, 1-5 , 2010 2010 Citations: 18
Realistic user distribution and its impact on capacity and coverage for a WCDMA mobile network M Elalem, L Zhao 2009 IEEE Sarnoff Symposium, 1-5 , 2009 2009 Citations: 14
Effective capacity optimization for cognitive radio network based on underlay scheme in gamma fading channels M Elalem, L Zhao 2013 International Conference on Computing, Networking and Communications … , 2013 2013 Citations: 13
Malware Analysis in Cyber Security based on Deep Learning; Recognition and Classification M Elalem, T Jabir 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences … , 2023 2023 Citations: 12
Effective capacity and interference constraints in multichannel cognitive radio network M Elalem, L Zhao 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2993-2998 , 2013 2013 Citations: 10
Novel power control algorithm by decomposed geometric programming method for CDMA cognitive radio networks M Elalem 2012 IEEE International Conference on Communications (ICC), 1656-1660 , 2012 2012 Citations: 6
Effective capacity optimization based on overlay cognitive radio network in gamma fading environment M Elalem, L Zhao 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2999-3004 , 2013 2013 Citations: 5
Optimal access strategy for capacity optimization in cognitive radio system M Elalem, L Zhao 2013 IEEE Wireless Communications and Networking Conference (WCNC), 3382-3386 , 2013 2013 Citations: 4
Effective capacity and interference analysis in multiband dynamic spectrum sensing M Elalem Communications and Network , 2013 2013 Citations: 4
Effective Capacity Analysis for Cognitive Networks under qos Satisfaction M Elalem, L Zhao Journal of Information Sciences and Computing Technologies 5 (3), 498-518 , 2016 2016 Citations: 3
Optimization of coverage and handover for heterogeneous networks R Almosbahi, M Elalem International Journal of Advanced Research and Publications 3 (3), 213-219 , 2019 2019 Citations: 2
Effective capacity with interference constraints in multichannel spectrum sharing system M Elalem 2013 International Conference on Research and Innovation in Information … , 2013 2013 Citations: 2
Throughput maximization based on optimal access probabilities in cognitive radio system M Elalem, L Zhao Journal of Communication and Network (CN), to appear , 2013 2013 Citations: 2
Machine Learning Approaches for Indoor Positioning: a Case Study on KNN vs WKNN-Inv and WKNN-Cos M Aboughlia, MA Elalem Gharyan University Journal of Engineering Science (GUJES) 2 (1), 1-10 , 2026 2026 Citations: 1
BER Performance of SISO-OFDM Scheme based on FFT over an AWGN Channel N Ahwaas, M A, Elalem International Journal of Advances in Computer and Electronics Engineering … , 2021 2021 Citations: 1
Wirelessly Monitoring Patients Based on E-Health Sensors M Elalem Scientific and Engineering Journal, Higher Institution of Sciences and … , 2018 2018 Citations: 1
Capacity maximization in dynamic spectrum sharing based on optimal access probabilities M Elalem 2014 4th International Conference on Wireless Mobile Communication and … , 2014 2014 Citations: 1
Traditional distributed power control algorithms for Cognitive Radio Network M Elalem, L Zhao 2011 6th International ICST Conference on Communications and Networking in … , 2011 2011 Citations: 1
Uplink capacity coverage product in CDMA mobile networks MA Elalem, AS Akki Proceedings of the Eighth IASTED International Conference on Wireless and … , 2008 2008 Citations: 1
Modulation Scheme Recognition Based on CNN Deep Learning Techniques S Abdalnour, M Elalem 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences … , 2026 2026
