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Peyman Kabiri

Dr. Peyman Kabiri Ph.D, M.Sc, B.Eng

Senior Lecturer

Summary

I joined Sheffield Hallam University from September 2018. I am module leader for the Network Intrusion Detection (NID) module.

My university teaching experience as a Ph.D. holder started in 2000, and I have lectured several computer science subject areas. I have supervised projects of both undergraduate and postgraduate students.

I have been involved in cybersecurity research for around 15 years.

  • About

    I received my Ph.D. in Computing from The Nottingham Trent University in 2000. Since then I have been researching and teaching at universities.

    I started research in cybersecurity from 2004.

    I use my research results to teach students and aim to always provide them with up-to-date insight. This is especially helpful with newer subject areas where good books are hard to find and changes in the field are significant.

    My approach to solved research problems is based on data analysis and machine learning methods.

    Since 2010, I have been teaching in the areas of Network Intrusion Detection and Response and System Security. I have successfully graduated 3 Ph.D., 45 M.Sc. and 11 B.Eng. students up to 2018 (both jointly and on my own).

    I am regularly invited to act as referee for academic journals and conferences.

    I believe in thinking out of the box and to seek suitable solutions to real-life problems in even unconventional places.

  • Teaching

    Network Intrusion Detection

  • Publications

    Journal articles

    Hoseini, S.A., & Kabiri, P. (2018). Camera pose estimation in unknown environments using a sequence of wide-baseline monocular images. Journal of artificial intelligence & data mining (JAIDM), 6 (1), 93-103. http://doi.org/10.22044/JADM.2017.976

    Kabiri, P., & Hoseini, S.A.H. (2018). "A Novel Feature-Based Approach for Indoor Monocular SLAM". Electronics, 7 (11), 305. http://doi.org/10.3390/electronics7110305

    Mostafavi, M., & Kabiri, P. (2018). Detection of repetitive and irregular hypercall attacks from guest virtual machines to Xen hypervisor. Iran journal of computer science, 1 (2), 89-97. http://doi.org/10.1007/s42044-018-0006-5

    Aghdam, M.H., Analoui, M., & Kabiri, P. (2017). Collaborative filtering using non-negative matrix factorisation. Journal of Information Science, 43 (4), 567-579. http://doi.org/10.1177/0165551516654354

    Nejat, S.K., & Kabiri, P. (2017). An adaptive and cost-based intrusion response system. Cybernetics and Systems, 48 (6-7), 495-509. http://doi.org/10.1080/01969722.2017.1319693

    RahimiZadeh, K., AnaLoui, M., Kabiri, P., & Javadi, B. (2017). Workload-Aware Placement of Multi-Tier Applications in Virtualized Datacenters. Computer Journal, 60 (2), 210-239. http://doi.org/10.1093/comjnl/bxw097

    Moshki, M., Kabiri, P., & Mohebalhojeh, A. (2017). Scalable data-driven modeling of spatio-temporal systems: Weather forecasting. Intelligent Data Analysis, 21 (3), 577-595. http://doi.org/10.3233/IDA-150494

    Hosseinzadeh Aghdam, M., Analoui, M., & Kabiri, P. (2017). Modelling trust networks using resistive circuits for trust-aware recommender systems. Journal of Information Science, 43 (1), 135-144. http://doi.org/10.1177/0165551516628733

    Ghaderi, H., & Kabiri, P. (2017). Automobile engine condition monitoring using sound emission. Turkish Journal of Electrical Engineering and Computer Sciences, 25 (3), 1807-1826. http://doi.org/10.3906/elk-1605-77

    Ahmadvand, A., & Kabiri, P. (2016). Multispectral MRI image segmentation using Markov random field model. Signal, Image and Video Processing, 10 (2), 251-258. http://doi.org/10.1007/s11760-014-0734-4

    Aghdam, M.H., & Kabiri, P. (2016). Feature selection for intrusion detection system using ant colony optimization. International Journal of Network Security, 18 (3), 420-432.

    RahimiZadeh, K., Gerde, R.N., AnaLoui, M., & Kabiri, P. (2015). Performance evaluation of web server workloads in Xen-based virtualized computer system: Analytical modeling and experimental validation. Concurrency Computation, 27 (17), 4741-4762. http://doi.org/10.1002/cpe.3454

    Rahimizadeh, K., Analoui, M., Kabiri, P., & Javadi, B. (2015). Performance modeling and analysis of virtualized multi-tier applications under dynamic workloads. Journal of Network and Computer Applications, 56, 166-187. http://doi.org/10.1016/j.jnca.2015.06.020

    Moosavirad, S.M., Kabiri, P., & Mahini, H. (2015). Rashnu: A Wi-Fi intrusion response scheme. Security and Communication Networks, 8 (12), 2070-2078. http://doi.org/10.1002/sec.1153

    Moshki, M., Kabiri, P., & Mohebalhojeh, A. (2015). Scalable Feature Selection in High-Dimensional Data Based on GRASP. Applied Artificial Intelligence, 29 (3), 283-296. http://doi.org/10.1080/08839514.2015.1004616

    Aghdam, M.H., Analoui, M., & Kabiri, P. (2015). A novel non-negative matrix factorization method for recommender systems. Applied Mathematics and Information Sciences, 9 (5), 2721-2732. http://doi.org/10.12785/amis/090558

    Rahimizadeh, K., & Kabiri, P. (2014). Trust-based routing method using a mobility-based clustering approach in mobile ad hoc networks. Security and Communication Networks, 7 (11), 1746-1763. http://doi.org/10.1002/sec.872

    Masoudi, R., & Kabiri, P. (2014). New intensity-hue-saturation pan-sharpening method based on texture analysis and genetic algorithm-adaption. Journal of Applied Remote Sensing, 8 (1). http://doi.org/10.1117/1.JRS.8.083640

    Kabiri, P., & Aghaei, M. (2011). Feature analysis for intrusion detection in mobile Ad-hoc networks. International Journal of Network Security, 12 (1), 42-49.

    Kabiri, P., & Zargar, G.R. (2010). Identification of Effective Optimal Network Feature Set for Probing Attack Detection Using PCA Method. IJWA, 2, 164-174.

    Kabiri, P., & Ghorbani, A.A. (2007). A rule-based temporal alert correlation system. International Journal of Network Security, 5 (1), 66-72.

    Kabiri, P., & Ghorbani, A.A. (2005). Research on intrusion detection and response: A survey. International Journal of Network Security, 1 (2), 84-102.

    Conference papers

    Kabiri, P., & Chavoshi, M. (2019). Destructive Attacks Detection and Response System for Physical Devices in Cyber-Physical Systems. Cyber Systems 2019 Proceedings. http://doi.org/10.1109/CyberSecPODS.2019.8884999

    Kabiri, P., & Mokhtari, A. (2018). A Novel Seven-valued Buffer. In 3rd National Conference on technology in Electrical and Computer Engineering, Semnan, Iran, 16 May 2018. Civillica: https://en.civilica.com/Papers-TECCONF03=%D8%B3%D9%88%D9%85%DB%8C%D9%86-%DA%A9%D9%86%D9%81%D8%B1%D8%A7%D9%86%D8%B3-%D9%85%D9%84%DB%8C-%D9%81%D9%86%D8%A7%D9%88%D8%B1%DB%8C-%D8%AF%D8%B1-%D9%85%D9%87%D9%86%D8%AF%D8%B3%DB%8C-%D8%A8%D8%B1%D9%82-%D9%88-%DA%A9%D8%A7%D9%85%D9%BE%DB%8C%D9%88%D8%AA%D8%B1.html

    Mokhtari, A., & Kabiri, P. (2018). A Seven-Valued Full Adder/Subtractor Architecture. In 3rd International Conference on Electrical Engineering, Tehran-Iran, 25 October 2018 (pp. 1-12). Tehran-Iran: Civilica: https://en.civilica.com/Paper-ICELE03-ICELE03_078=A-Seven-Valued-Full-AdderSubtractor-Architecture.html

    Kianinejad, M., & Kabiri, P. (2018). A strategy for trust propagation along the more trusted paths. 3rd Conference on Swarm Intelligence and Evolutionary Computation, CSIEC 2018, 1-6. http://doi.org/10.1109/CSIEC.2018.8405406

    Hoseini, S.A., & Kabiri, P. (2017). A feature-based approach for monocular camera tracking in unknown environments. 3rd International Conference on Pattern Analysis and Image Analysis, IPRIA 2017, 75-79. http://doi.org/10.1109/PRIA.2017.7983021

    Aghdam, M.H., Analoui, M., & Kabiri, P. (2014). Analiysis of self-similarity in recommender systems. 2014 Iranian Conference on Intelligent Systems, ICIS 2014. http://doi.org/10.1109/IranianCIS.2014.6802568

    Aghdam, M.H., Analoui, M., & Kabiri, P. (2012). Application of nonnegative matrix factorization in recommender systems. 2012 6th International Symposium on Telecommunications, IST 2012, 873-876. http://doi.org/10.1109/ISTEL.2012.6483108

    Ghaderi, H., & Kabiri, P. (2012). Fourier transform and correlation-based feature selection for fault detection of automobile engines. AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing, 514-519. http://doi.org/10.1109/AISP.2012.6313801

    Kabiri, P., Pandi, M.H., Kourkinejat, S., & Ghaderi, H. (2011). NDVI optimization using genetic algorithm. 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings. http://doi.org/10.1109/IranianMVIP.2011.6121609

    Kabiri, P., Ghaderi, H., & Nejat, S.K. (2011). Optimizing cloud detection index for MODIS imagery using Genetic Algorithm. 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings. http://doi.org/10.1109/IranianMVIP.2011.6121611

    Zargar, G.R., & Kabiri, P. (2010). Selection of effective network parameters in attacks for intrusion detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6171 LNAI, 643-652. http://doi.org/10.1007/978-3-642-14400-4_50

    Zargar, G.R., & Kabiri, P. (2009). Identification of effective network features to detect smurf attacks. SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development, 49-52. http://doi.org/10.1109/SCORED.2009.5443345

    Zargar, G.R., & Kabiri, P. (2009). Identification of effective network features for probing attack detection. 2009 1st International Conference on Networked Digital Technologies, NDT 2009, 392-397. http://doi.org/10.1109/NDT.2009.5272124

    Kabiri, P., Shahbazi, H., Soryani, M., & IEEE, (2008). Statistical Shape based Multispectral Image Retrieval Extracting Power Spectrum Vectors. 2008 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT, VOLS 1 AND 2, 663-668.

    Shahbazi, H., Soryani, M., & Kabiri, P. (2008). Content based multispectral image retrieval using Principal Component Analysis. CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval, 205-210. http://doi.org/10.1145/1386352.1386383

    Kabiri, P., Shahbazi, H., & Soryani, M. (2008). Statistical shape based multispectral image retrieval extracting power spectrum vectors. 3rd International Conference on Digital Information Management, ICDIM 2008, 650-655. http://doi.org/10.1109/ICDIM.2008.4746804

    Kabiri, P., & Alghabi, F. (2008). Generation of gridded data for 2D Proportional Keen Approximator using radial basis functions. Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 3, 480-485. http://doi.org/10.1109/IITA.2008.360

    Alghabi, F., & Kabiri, P. (2008). A novel approach for speeding up RBF-based interpolation methods. Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 3, 8-13. http://doi.org/10.1109/IITA.2008.358

    Shahbazi, H., Kabiri, P., & Soryani, M. (2008). Content based multispectral image retrieval using Independent Component Analysis. Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008, 2, 485-489. http://doi.org/10.1109/CISP.2008.642

    Ahmadian, K., Golestani, A., Mozayani, N., Kabiri, P., & IEEE, (2007). A new multi-objective evolutionary approach for creating ensemble of classifiers. 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 876-881.

    Ahmadian, K., Golestani, A., Mozayani, N., & Kabiri, P. (2007). A new multi-objective evolutionary approach for creating ensemble of classifiers. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 1031-1036. http://doi.org/10.1109/ICSMC.2007.4413723

    Kabiri, P. (2004). A comparison between the proportional keen approximator and the neural networks learning methods. ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems, 159-164.

    Kabiri, P. (2002). Using black box and machine learning approach in controlling a machine. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 7, 215-220.

    Kabiri, P., Sherkat, N., & Shih, C.H.V. (1999). Compensating for robot arm positioning inaccuracy in 3D-space. Proceedings of SPIE - The International Society for Optical Engineering, 3833, 100-108.

    Kabiri, P., Sherkat, N., & Shih, V. (1998). Using machine learning methods to simulate non-deterministic parameters for a robot arm. ESS'98 - SIMULATION TECHNOLOGY: SCIENCE AND ART, 746-750.

    Kabiri, P., Sherkat, N., & Shih, C.H.V. (1998). Compensation for Robot Arm flexibility using machine intelligence. Proceedings of SPIE - The International Society for Optical Engineering, 3517, 139-148. http://doi.org/10.1117/12.326918

    Mokhtari, A., & Kabiri, P. (2018). A Seven-Valued Full Adder/Subtractor Architecture. In 3rd International Conference on Electrical Engineering, Tehran-Iran, 25 October 2018 (pp. 1-12). Tehran-Iran: https://www.civilica.com/Paper-ICELE03-ICELE03_078=A-Seven-Valued-Full-AdderSubtractor-Architecture.html

    Books

    Kabiri, P. (2011). Privacy, Intrusion Detection, and Response Technologies for Protecting Networks.

    Datasets

    Ghaderi, H., & Kabiri, P. (2018). IAL sample dataset for engine sound emissions out of 5 different automobiles.. http://doi.org/10.13140/RG.2.2.22441.08807}

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