Publication

Published Works

1. M. Mohy-Eddine, A. Guezzaz, S. Benkirane, M. Azrour, and Y. Farhaoui, « An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security », Big Data Min. Anal., vol. 6, no 3, p. 273‑287, 2023, doi: 10.26599/BDMA.2022.9020032.

2. M. Mohy-Eddine, S. Benkirane, A. Guezzaz, et M. Azrour, « Random forest-based IDS for IIoT edge computing security using ensemble learning for dimensionality reduction », Int. J. Embed. Syst., vol. 15, no 6, p. 467‑474, 2023, doi: 10.1504/IJES.2022.129803.

3. M. Mohy-eddine, A. Guezzaz, S. Benkirane, and M. Azrour, « An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection », Multimed. Tools Appl., vol. 82, no 15, p. 23615‑23633, 2023, doi: 10.1007/s11042-023-14795-2.

4. M. Douiba, S. Benkirane, A. Guezzaz, and M. Azrour, « An improved anomaly detection model for IoT security using decision tree and gradient boosting », J. Supercomput., vol. 79, no 3, p. 3392‑3411, 2023, doi: 10.1007/s11227-022-04783-y.

5. S. Benkirane et al., « Adapted Speed System in a Road Bend Situation in VANET Environment », Comput. Mater. Contin., vol. 74, no 2, p. 3781‑3794, 2023, doi: 10.32604/cmc.2023.033119.

6. M. Benchrifa, J. Mabrouki, M. Elouardi, M. Azrour,and  R. Tadili, « Detailed study of dimensioning and simulating a grid-connected PV power station and analysis of its environmental and economic effect, case study », Model. Earth Syst. Environ., vol. 9, no 1, p. 53‑61, 2023, doi: 10.1007/s40808-022-01457-9.

7. H. Attou, A. Guezzaz, S. Benkirane,M. Azrour, and Y. Farhaoui, « Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques », Big Data Min. Anal., vol. 6, no 3, p. 311‑320, 2023, doi: 10.26599/BDMA.2022.9020038.

8. M. Mohy-eddine, A. Guezzaz, S. Benkirane,and M. Azrour, « An effective intrusion detection approach based on ensemble learning for IIoT edge computing », J. Comput. Virol. Hacking Tech., 2022, doi: 10.1007/s11416-022-00456-9.

9. J. Mabrouki et al., « Study, simulation and modulation of solar thermal domestic hot water production systems », Model. Earth Syst. Environ., vol. 8, no 2, p. 2853‑2862, 2022, doi: 10.1007/s40808-021-01200-w.

10. J. Mabrouki, M. Azrour, A. Boubekraoui, and S. El Hajjaji, « Simulation and Optimization of Solar Domestic Hot Water Systems », Int. J. Soc. Ecol. Sustain. Dev., vol. 13, no 1, 2022, doi: 10.4018/IJSESD.315309.

11. H. Loukili et al., « Combining multiple regression and principal component analysis to evaluate the effects of ambient air pollution on children’s respiratory diseases », Int. J. Inf. Technol. Singap., vol. 14, no 3, p. 1305‑1310, 2022, doi: 10.1007/s41870-022-00906-z.

12. C. Hazman, A. Guezzaz, S. Benkirane, and M. Azrour, « lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning », Clust. Comput., 2022, doi: 10.1007/s10586-022-03810-0.

13. A. Guezzaz, M. Azrour, S. Benkirane, M. Mohy-Eddine, H. Attou, and M. Douiba, « A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security », Int. Arab J. Inf. Technol., vol. 19, no 5, p. 822‑830, 2022, doi: 10.34028/iajit/19/5/14.

14. G. Fattah, J. Mabrouki, F. Ghrissi, and M. Azrour, « Proposal for a High-Resolution Particulate Matter (PM10and PM2.5) Capture System, Comparable with Hybrid System-Based Internet of Things: Case of Quarries in the Western Rif, Morocco », Pollution, vol. 8, no 1, p. 169‑180, 2022, doi: 10.22059/POLL.2021.326846.1134.

15. M. Douiba, S. Benkirane, A. Guezzaz, and M. Azrour, « Anomaly detection model based on gradient boosting and decision tree for IoT environments security », J. Reliab. Intell. Environ., 2022, doi: 10.1007/s40860-022-00184-3.

16. R. Chaganti, A. Mourade, V. Ravi, N. Vemprala, A. Dua, and B. Bhushan, « A Particle Swarm Optimization and Deep Learning Approach for Intrusion Detection System in Internet of Medical Things », Sustain. Switz., vol. 14, no 19, 2022, doi: 10.3390/su141912828.

17. M. K. Boutahir, Y. Farhaoui, M. Azrour, I. Zeroual, and A. El Allaoui, « Effect of Feature Selection on the Prediction of Direct Normal Irradiance », Big Data Min. Anal., vol. 5, no 4, p. 309‑317, 2022, doi: 10.26599/BDMA.2022.9020003.

18. M. Azrour, J. Mabrouki, G. Fattah, A. Guezzaz, et F. Aziz, « Machine learning algorithms for efficient water quality prediction », Model. Earth Syst. Environ., vol. 8, no 2, p. 2793‑2801, 2022, doi: 10.1007/s40808-021-01266-6.

19. A. Anouzla et al., « Multi-response optimization of coagulation–flocculation process for stabilized landfill leachate treatment using a coagulant based on an industrial effluent », Desalination Water Treat., vol. 254, p. 71‑79, 2022, doi: 10.5004/dwt.2022.28388.

20. T. Ahajjam, M. Moutaib, H. Aissa, M. Azrour, Y. Farhaoui, and M. Fattah, « Predicting Students’ Final Performance Using Artificial Neural Networks », Big Data Min. Anal., vol. 5, no 4, p. 294‑301, 2022, doi: 10.26599/BDMA.2021.9020030.

21. J. Mabrouki, M. Azrour, and S. E. Hajjaji, « Use of internet of things for monitoring and evaluating water’s quality: a comparative study », Int. J. Cloud Comput., vol. 10, no 5‑6, p. 633‑644, 2021, doi: 10.1504/IJCC.2021.120399.

22. J. Mabrouki, M. Azrour, G. Fattah, D. Dhiba, and S. E. Hajjaji, « Intelligent monitoring system for biogas detection based on the Internet of Things: Mohammedia, Morocco city landfill case », Big Data Min. Anal., vol. 4, no 1, p. 10‑17, 2021, doi: 10.26599/BDMA.2020.9020017.

23. J. Mabrouki, M. Azrour, D. Dhiba, Y. Farhaoui, and S. E. Hajjaji, « IoT-based data logger for weather monitoring using arduino-based wireless sensor networks with remote graphical application and alerts », Big Data Min. Anal., vol. 4, no 1, p. 25‑32, 2021, doi: 10.26599/BDMA.2020.9020018.

24. A. Guezzaz, S. Benkirane, M. Azrour, and S. Khurram, « A Reliable Network Intrusion Detection Approach Using Decision Tree with Enhanced Data Quality », Secur. Commun. Netw., vol. 2021, 2021, doi: 10.1155/2021/1230593.

25. A. Guezzaz, Y. Asimi, M. Azrour, and A. Asimi, « Mathematical validation of proposed machine learning classifier for heterogeneous traffic and anomaly detection », Big Data Min. Anal., vol. 4, no 1, p. 18‑24, 2021, doi: 10.26599/BDMA.2020.9020019.

26. M. Azrour, J. Mabrouki, A. Guezzaz, and Y. Farhaoui, « Survey of high school students’ usage of smartphone in Moroccan rural areas », Int. J. Cloud Comput., vol. 10, no 3, p. 265‑274, 2021, doi: 10.1504/IJCC.2021.118017.

27. M. Azrour, J. Mabrouki, A. Guezzaz, and Y. Farhaoui, « New enhanced authentication protocol for Internet of Things », Big Data Min. Anal., vol. 4, no 1, p. 1‑9, 2021, doi: 10.26599/BDMA.2020.9020010.

28. M. Azrour, J. Mabrouki, A. Guezzaz, and A. Kanwal, « Internet of Things Security: Challenges and Key Issues », Secur. Commun. Netw., vol. 2021, 2021, doi: 10.1155/2021/5533843.

29. M. Azrour, J. Mabrouki, and R. Chaganti, « New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT », Secur. Commun. Netw., vol. 2021, 2021, doi: 10.1155/2021/5546334.

30. M. Azrour, Y. Farhaoui, and M. Ouanan, « Cryptanalysis of Farash et al.’s SIP authentication protocol », Int. J. Dyn. Syst. Differ. Equ., vol. 8, no 1‑2, p. 77‑94, 2018, doi: 10.1504/IJDSDE.2018.10009162.

31. M. Azrour, Y. Farhaoui, and M. Ouanan, « Cryptanalysis of Farash et al.’s SIP authentication protocol », Int. J. Dyn. Syst. Differ. Equ., vol. 8, no 1‑2, p. 77‑94, 2018, doi: 10.1504/IJDSDE.2018.089097.

32. M. Azrour, M. Ouanan, and Y. Farhaoui, « Survey of Detection SIP Malformed Messages », Indones. J. Electr. Eng. Comput. Sci., vol. 7, no 2, p. 457‑465, 2017, doi: 10.11591/ijeecs.v7.i2.pp457-465.

33. M. Azrour, Y. Farhaoui, et M. Ouanan, « A server spoofing attack on Zhang et al. SIP authentication protocol », Int. J. Tomogr. Simul., vol. 30, no 3, p. 47‑58, 2017.

34. M. Azrour, Y. Farhaoui, et M. Ouanan, « A new secure authentication and key exchange protocol for session initiation protocol using smart card », Int. J. Netw. Secur., vol. 19, no 6, p. 870‑879, 2017, doi: 10.6633/IJNS.201711.19(6).02.

35. M. Azrour, M. Ouanan, et Y. Farhaoui, « SIP authentication protocols based on elliptic curve cryptography: Survey and comparison », Indones. J. Electr. Eng. Comput. Sci., vol. 4, no 1, p. 231‑239, 2016, doi: 10.11591/ijeecs.v4.i1.pp231-239.

36. M. Azrour, Y. Farhaoui, M. Ouanan, and A. Guezzaz, « SPIT Detection in Telephony over IP Using K-Means Algorithm », présenté à Procedia Computer Science, 2019, p. 542‑551. doi: 10.1016/j.procs.2019.01.027.

37. M. Azrour, M. Ouanan, and Y. Farhaoui, « A new efficient SIP authentication and key agreement protocol based on chaotic maps and using smart card », présenté à ACM International Conference Proceeding Series, 2017. doi: 10.1145/3167486.3167559.

1. M. Mohy-eddine, A. Guezzaz, S. Benkirane, and M. Azrour, IoT-Enabled Smart Agriculture: Security Issues and Applications, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 571. doi: 10.1007/978-3-031-26254-8_82.

2. M. Mohy-Eddine, M. Azrour, J. Mabrouki, F. Amounas, A. Guezzaz, and S. Benkirane, Embedded Web Server Implementation for Real-Time Water Monitoring. in Environmental Science and Engineering. 2023, p. 311. doi: 10.1007/978-3-031-25662-2_24.

3. J. Mabrouki et al., Geographic Information System for the Study of Water Resources in Chaâba El Hamra, Mohammedia (Morocco), vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 474. doi: 10.1007/978-3-031-26254-8_67.

4. C. Hazman, S. Benkirane, A. Guezzaz, M. Azrour, and M. Abdedaime, Intrusion Detection Framework for IoT-Based Smart Environments Security, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 552. doi: 10.1007/978-3-031-26254-8_79.

5. C. Hazman, S. Benkirane, A. Guezzaz,M. Azrour, and M. Abdedaime, Building an Intelligent Anomaly Detection Model with Ensemble Learning for IoT-Based Smart Cities. in Environmental Science and Engineering. 2023, p. 299. doi: 10.1007/978-3-031-25662-2_23.

6. M. Douiba, S. Benkirane, A. Guezzaz,and  M. Azrour,A Collaborative Fog-Based Healthcare Intrusion Detection Security Using Blockchain and Machine Learning, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 6. doi: 10.1007/978-3-031-26254-8_1.

7. S. Dargaoui et al., An Overview of the Security Challenges in IoT Environment. in Environmental Science and Engineering. 2023, p. 160. doi: 10.1007/978-3-031-25662-2_13.

8. M. K. Boutahir, A. Hessane, Y. Farhaoui, and  M. Azrour,An Effective Ensemble Learning Model to Predict Smart Grid Stability Using Genetic Algorithms. in Environmental Science and Engineering. 2023, p. 137. doi: 10.1007/978-3-031-25662-2_11.

9. M. K. Boutahir, Y. Farhaoui, et M. Azrour, Towards an Effective Anomaly Detection in Solar Power Plants Using the AE-LSTM-GA Approach, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 799. doi: 10.1007/978-3-031-26254-8_115.

10. H. Attou, A. Guezzaz, S. Benkirane, and  M. Azrour,A Sorting-AB Approach for an Enhanced IDS in Cloud Environment, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 125. doi: 10.1007/978-3-031-26254-8_18.

11. S. Amaouche, S. Benkirane, A. Guezzaz, and  M. Azrour, A Proposed Machine Learning Model for Intrusion Detection in VANET, vol. 635 LNNS. in Lecture Notes in Networks and Systems, vol. 635 LNNS. 2023, p. 108. doi: 10.1007/978-3-031-26254-8_15.

12. F. Mousli, J. Mabrouki, L. Bouhachlaf, M. Azrour, a nd S. El Hajjaji, Detection of Some Water Elements Based on IoT: Review Study. in EAI/Springer Innovations in Communication and Computing. 2022, p. 17. doi: 10.1007/978-3-030-90083-0_1.

13. J. Mabrouki et al., Smart System for Monitoring and Controlling of Agricultural Production by the IoT. in EAI/Springer Innovations in Communication and Computing. 2022, p. 115. doi: 10.1007/978-3-030-90083-0_8.

14. A. Guezzaz, S. Benkirane, and M. Azrour, A Novel Anomaly Network Intrusion Detection System for Internet of Things Security. in EAI/Springer Innovations in Communication and Computing. 2022, p. 138. doi: 10.1007/978-3-030-90083-0_10.

15. M. K. Boutahir, Y. Farhaoui, and M. Azrour, Machine Learning and Deep Learning Applications for Solar Radiation Predictions Review: Morocco as a Case of Study, vol. 1010. in Studies in Computational Intelligence, vol. 1010. 2022, p. 67. doi: 10.1007/978-3-031-05258-3_6.

16. J. Mabrouki, M. Azrour, Y. Farhaoui, and S. El Hajjaji, Intelligent System for Monitoring and Detecting Water Quality, vol. 81. in Lecture Notes in Networks and Systems, vol. 81. 2020, p. 182. doi: 10.1007/978-3-030-23672-4_13.

17. A. Guezzaz, A. Asimi, A. Mourade, Z. Tbatou, and Y. Asimi, A Multilayer Perceptron Classifier for Monitoring Network Traffic, vol. 81. in Lecture Notes in Networks and Systems, vol. 81. 2020, p. 270. doi: 10.1007/978-3-030-23672-4_19.

18. M. Azrour, Y. Farhaoui, and A. Guezzaz, Experimental Validation of New SIP Authentication Protocol, vol. 81. in Lecture Notes in Networks and Systems, vol. 81. 2020, p. 11. doi: 10.1007/978-3-030-23672-4_1.

19. M. Azrour, M. Ouanan, Y. Farhaoui, and A. Guezzaz, Security Analysis of Ye et al. Authentication Protocol for Internet of Things, vol. 53. in Studies in Big Data, vol. 53. 2019, p. 74. doi: 10.1007/978-3-030-12048-1_9.

20. M. Azrour, M. Ouanan, and Y. Farhaoui, A new secure SIP authentication scheme based on elliptic curve cryptography, vol. 640. in Advances in Intelligent Systems and Computing, vol. 640. 2018, p. 170. doi: 10.1007/978-3-319-64719-7_14.

21. M. Azrour, Y. Farhaoui, and  M. Ouanan, Weakness in Zhang et al.’s authentication protocol for session initiation protocol, vol. 25. in Lecture Notes in Networks and Systems, vol. 25. 2018, p. 251. doi: 10.1007/978-3-319-69137-4_22.

22. J. Mabrouki, G. Fattah, S. Kherraf, Y. Abrouki, M. Azrour, and S. El Hajjaji, « Artificial intelligence system for intelligent monitoring and management of water treatment plants », in Emerging Real-World Applications of Internet of Things, 2022, p. 69‑88. doi: 10.1201/9781003304203-4.

1. Mourade Azrour, Jamal Mabrouki & Souad El Hajjaji; “Design of multi sensor system for monitoring water quality” ; 1er Workshop De Morywat  Sous Le Thème Eau Et  Changement Climatique ;  11 Mars 2020 ; FP Taroudant ; Maroc  

2. M. Azrour, J. Mabrouki  and Y. Farhaoui ;   "Utilisation De Système D'information Géographique Pour Le Contrôle De  L'impact Des Eaux Sud De La Région De Beni-Yakhlef, Mohammedia Maroc" ; La 4ème Edition De La Journée Des Doctorants – Jdc2019- ; 11 Juillet 2019, Fst Marrakech, Maroc       2019

3. M. AZROUR,Y. Farhaoui, M. Ouanan  and A. Guezzaz; "SPIT Detection in Telephony over IP Using K-Means Algorithm"; The second International Conference On Intelligent Computing in Data Sciences, October 03-04-05, 2018 Fez-Morocco

4. M. AZROUR, M. OUANAN, Y. FARHAOUI  and A. GUEZZAZ; "Security Analysis of Ye  et al. Authentication Protocol for Internet of Things", in International Conference on Big Data end Smart Digital Environment , November  29-30, 2018, Casablanca, morocco;

5. M. AZROUR, M. OUANAN,  Y. FARHAOUI ; " Implementation of New SIP Authentication Protocol " ; International Conference on Cryptology, Computer Security and Applications (I3CSA’17),  November 23-25, 2017, FSA, Agadir, Morocco

6. M. AZROUR, M. OUANAN,  Y. FARHAOUI ; " A New Efficient SIP Authentication and Key Agreement Protocol Based on Chaotic Maps" ; International conference on computing and wireless communication systems (ICCWCS’17) ;  November 14-16, 2017, Larache, Morocco

7. M. AZROUR, M. OUANAN,  Y. FARHAOUI ; " Malformed Message Detection in SIP Environment" ; The International Symposium on Computer Sciences and Applications (ISCSA2017) ; October  26-28,  2017,  Faculté des Sciences et Techniques Errachidia, Morocco.

8. Azrour M, Farhaoui Y, Ouanan M. “Weakness in Zhang et al.’s Authentication Protocol for Session Initiation Protocol”. In International Conference on Advanced Information Technology, Services and Systems 2017 Apr 14 (pp. 239-251). Springer, Cham.

9. M. AZROUR, Y. FARHAOUI,  and  M.OUANAN; "A New Secure SIP Authentication Scheme Based On Elliptic Curve Cryptography"; The International Conference on Information Technology and Communication Systems (ITCS’17) ; 28 and 29 March 2017 in ENSA, Khouribga, Morocco

10. M. AZROUR, M. OUANAN, and Y.  FARHAOUI; " New SIP Authentication Protocol Based on Chaotic Maps";International Workshop On Applied Mathematics , IWAM'2017, March 13, 2017,  FSTE , Errachidia, Morocco,

11. M. AZROUR, M. OUANAN, and Y.  FARHAOUI; "Cryptanalysis Of Zhang et Al's SIP Authentication And Key Agreement Protocol"; 8ème Colloque International de Veille Stratégique Scientifique et Technologique, October 18-20, 2016 Rabat, Morocco

12. M. AZROUR, M. OUANAN, and Y.  FARHAOUI; "Analysis of SIP Authentication and Key Agreement Protocols Based on Elliptic Curve Cryptography"; The First International Conference of High Innovation in Computer Science, June 1-3, 2016, Khenitra, Morocco

13. M. AZROUR, Y. FARHAOUI, and  M.OUANAN; "Survey of SIP Authentication Schemes Based on Elliptic Curve Cryptography"; The International Meeting on Applied Mathematics in Errachidia ; May 9-12, 2016; FSTE , Errachidia, Morocco.

1. M. Azrour, Jamal Mabrouki & Souad El Hajjaji; “Design of multi sensor system for monitoring water quality” ; 1er Workshop De Morywat  Sous Le Thème Eau Et  Changement Climatique ;  11 Mars 2020 ; FP Taroudant ; Maroc  2020

2. M. AZROUR, J. MABROUKI  and Y. FARHAOUI1; "Utilisation de Système d'Information Géographique pour le Contrôle de  l'impact des eaux sud de la région de Beni-Yakhlef, Mohammedia Maroc " ; La 4ème édition de la journée des Doctorants – JDC2019- ; 11 Juillet 2019, FST Marrakech, Maroc.

3. M. AZROUR, Y. FARHAOUI, and  M.OUANAN; "Evaluation of a New SIP Authentication Protocol under AVISPA"; 3éme  éditions des journées doctorales 1-3 Mai 2017 ; Faculté des Sciences Agadir, Maroc.

4. M. AZROUR, M. OUANAN,  Y. FARHAOUI ; "Review of SIP Detection  Malformed   Messages" ; La 3ème édition des Journées Doctorales Sciences et Techniques ; 11-13  Mai  2017,  Faculté des Sciences et Techniques Errachidia

5. M. AZROUR, M. OUANAN, and  Y. FARHAOUI; "Etude des mécanismes de la sécurité de protocole SIP"; 2éme  éditions des journées doctorales - Sciences et Technique; 14-16 Avril 2016 ; Faculté des Sciences et Techniques Errachidia Maroc.

6. M. AZROUR,  M. OUANAN , and  Y.  FARHAOUI; "Sécurisation de la Téléphonie  IP basée sur SIP  -Retombés Socioéconomiques du projet-"; Les doctorales 2016 ;  18-20 Mai 2016 ; Cité de l’innovation, Fès, Maroc

7. M. AZROUR, Y. FARHAOUI,  , and  M.OUANAN ; "Security Of Telephony  Over IP based on SIP";SEIT’16 – Smart Cities: Recent Innovations and Challenges; April 28, 2016; INPT Rabat, Morocco.