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
Ahmadpour, D., & Kabiri, P. (2020). Detecting forged management frames with spoofed addresses in IEEE 802.11 networks using received signal strength indicator. Iran Journal of Computer Science, 3 (3), 137-143. http://doi.org/10.1007/s42044-020-00053-3
Abdolahpoor, A., & Kabiri, P. (2020). New texture-based pansharpening method using wavelet packet transform and PCA. International Journal of Wavelets, Multiresolution and Information Processing, 18 (04), 2050025. http://doi.org/10.1142/s0219691320500253
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
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
GHADERI, H., & KABIRI, P. (2017). Automobile engine condition monitoring using sound emission. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 25, 1807-1826. http://doi.org/10.3906/elk-1605-77
Kourki Nejat, S., & 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
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
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
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., Nasiri Gerde, R., AnaLoui, M., & Kabiri, P. (2015). Performance evaluation of Web server workloads in Xen-based virtualized computer system: analytical modeling and experimental validation. Concurrency and Computation: Practice and Experience, 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), 083640. 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. Int. J. Web Appl, 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.
RahimiZadeh, K., AnaLoui, M., Kabiri, P., & Javadi, B. (n.d.). Workload-Aware Placement of Multi-Tier Applications in Virtualized Datacenters. The Computer Journal. http://doi.org/10.1093/comjnl/bxw097
(n.d.). A New Multi-Valued Logic Buffer and Inverter Using MOSFET Based Differential Amplifier. International Journal of Engineering, 35 (1). http://doi.org/10.5829/ije.2022.35.01a.14
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). http://doi.org/10.1109/iraniancis.2014.6802568
Aghdam, M.H., Analoui, M., & Kabiri, P. (2012). Application of nonnegative matrix factorization in recommender systems. 6th International Symposium on Telecommunications (IST). 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. The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012). http://doi.org/10.1109/aisp.2012.6313801
Kabiri, P., Pandi, M.H., Nejat, S.K., & Ghaderi, H. (2011). NDVI Optimization Using Genetic Algorithm. 2011 7th Iranian Conference on Machine Vision and Image Processing. 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. http://doi.org/10.1109/iranianmvip.2011.6121611
Zargar, G.R., & Kabiri, P. (2010). Selection of Effective Network Parameters in Attacks for Intrusion Detection. In Advances in Data Mining. Applications and Theoretical Aspects, (pp. 643-652). Springer Berlin Heidelberg: 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. 2009 IEEE Student Conference on Research and Development (SCOReD). http://doi.org/10.1109/scored.2009.5443345
Zargar, G.R., & Kabiri, P. (2009). Identification of effective network features for probing attack detection. 2009 First International Conference on Networked Digital Technologies. http://doi.org/10.1109/ndt.2009.5272124
Shahbazi, H., Kabiri, P., & Soryani, M. (2008). Content Based Multispectral Image Retrieval Using Independent Component Analysis. 2008 Congress on Image and Signal Processing. http://doi.org/10.1109/cisp.2008.642
Kabiri, P., Shahbazi, H., & Soryani, M. (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.
Kabiri, P., & Alghabi, F. (2008). Generation of Gridded Data for 2D Proportional Keen Approximator Using Radial Basis Functions. 2008 Second International Symposium on Intelligent Information Technology Application. http://doi.org/10.1109/iita.2008.360
Alghabi, F., & Kabiri, P. (2008). A Novel Approach for Speeding Up RBF-Based Interpolation Methods. 2008 Second International Symposium on Intelligent Information Technology Application. http://doi.org/10.1109/iita.2008.358
Kabiri, P., Shahbazi, H., & Soryani, M. (2008). Statistical shape based multispectral image retrieval extracting Power Spectrum Vectors. 2008 Third International Conference on Digital Information Management. http://doi.org/10.1109/icdim.2008.4746804
Shahbazi, H., Soryani, M., & Kabiri, P. (2008). Content based multispectral image retrieval using principal component analysis. Proceedings of the 2008 international conference on Content-based image and video retrieval. http://doi.org/10.1145/1386352.1386383
Kushan Ahmadian, , Abbas Golestani, , Nasser Mozayani, , & Peyman Kabiri, (2007). A new multi-objective evolutionary approach for creating ensemble of classifiers. 2007 IEEE International Conference on Systems, Man and Cybernetics. http://doi.org/10.1109/icsmc.2007.4413723
Ahmadian, K., Golestani, A., Mozayani, N., & Kabiri, P. (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.
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). <title>Compensating for robot arm positioning inaccuracy in 3D space</title>. Intelligent Systems in Design and Manufacturing II. http://doi.org/10.1117/12.359510
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). <title>Compensation for robot arm flexibility using machine intelligence</title>. SPIE Proceedings. http://doi.org/10.1117/12.326918
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}