Publications

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Book
Hassanien, A. E., M. M. Fouad, A. A. Manaf, M. Zamani, R. Ahmad, and J. Kacprzyk, Multimedia Forensics and Security: Foundations, Innovations, and Applications, , Germany , Springer, 2017. AbstractWebsite

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Book Chapter
Mostafa, A., A. Fouad, M. A. Fattah, A. E. Hassanien, and H. Hefny, "Artificial Bee Colony Based Segmentation for CT Liver Images", Medical Imaging in Clinical Applications: Springer International Publishing, pp. 409–430, 2016. Abstract
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Fouad, M. M., K. M. Amin, N. El-Bendary, and A. E. Hassanien, "Brain Computer Interface: A Review", Brain-Computer Interfaces: Springer International Publishing, pp. 3–30, 2015. Abstract
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Aziz, A. S. A., M. M. Fouad, and A. E. Hassanien, "Cloud Computing Forensic Analysis: Trends and Challenges", Multimedia Forensics and Security: Springer International Publishing, pp. 3–23, 2017. Abstract
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Alnashar, H. S., M. A. Fattah, M. M. Mosbah, and A. E. Hassanien, "Cloud computing framework for solving virtual college educations: A case of egyptian virtual university", Information Systems Design and Intelligent Applications: Springer India, pp. 395–407, 2015. Abstract
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Hassan, E. A., A. I. Hafez, A. E. Hassanien, and A. A. Fahmy, "Community detection algorithm based on artificial fish swarm optimization", Intelligent Systems' 2014: Springer International Publishing, pp. 509–521, 2015. Abstract
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Hafez, A. I., E. T. Al-Shammari, A. E. Hassanien, and A. A. Fahmy, "Genetic algorithms for multi-objective community detection in complex networks", Social Networks: A Framework of Computational Intelligence: Springer International Publishing, pp. 145–171, 2014. Abstract
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Hafez, A. I., E. T. Al-Shammari, A. E. Hassanien, and A. A. Fahmy, "Genetic algorithms for multi-objective community detection in complex networks", Social Networks: A Framework of Computational Intelligence: Springer International Publishing, pp. 145–171, 2014. Abstract
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Hafez, A. I., E. T. Al-Shammari, A. E. Hassanien, and A. A. Fahmy:, "Genetic Algorithms for Multi-Objective Community Detection in Complex Networks.", Social Networks: A Framework of Computational Intelligence , London, Volume 526, pp 145-171, Springer, 2014.
Salama, M. A., A. E. Hassanien, A. A. Fahmy, and T. - H. Kim, "Heart Sound Feature Reduction Approach for Improving the Heart Valve Diseases Identification", Signal Processing, Image Processing and Pattern Recognition: Springer Berlin Heidelberg, pp. 280–290, 2011. Abstract
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Salama, M. A., A. E. Hassanien, A. A. Fahmy, and T. - H. Kim, "Heart Sound Feature Reduction Approach for Improving the Heart Valve Diseases Identification", Signal Processing, Image Processing and Pattern Recognition: Springer Berlin Heidelberg, pp. 280–290, 2011. Abstract
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Fouad, M. M. M., and A. E. Hassanien, "Key pre-distribution techniques for WSN security services", Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations: Springer Berlin Heidelberg, pp. 265–283, 2014. Abstract
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Esraa Elhariri, N. El-Bendary, M. M. M. Fouad, Jan Platoš, A. E. Hassanien, and A. M. M. Hussein, "Multi-class SVM based classification approach for tomato ripeness", Innovations in Bio-inspired Computing and Applications: Springer International Publishing, pp. 175–186, 2014. Abstract
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Salama, M. A., M. M. M. Fouad, N. El-Bendary, and A. E. O. Hassanien, "Mutagenicity Analysis Based on Rough Set Theory and Formal Concept Analysis", Recent Advances in Intelligent Informatics: Springer International Publishing, pp. 265–273, 2014. Abstract
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Ali, A. F., A. Mostafa, G. I. Sayed, M. A. Fattah, and A. E. Hassanien, "Nature Inspired Optimization Algorithms for CT Liver Segmentation", Medical Imaging in Clinical Applications: Springer International Publishing, pp. 431–460, 2016. Abstract
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Fattah, M. A., N. El-Bendary, M. A. A. Elsoud, Jan Platoš, and A. E. Hassanien, "Principal component analysis neural network hybrid Classification Approach for Galaxies Images", Innovations in Bio-inspired Computing and Applications: Springer International Publishing, pp. 225–237, 2014. Abstract
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Farouk, A., M. Elhoseny, and A. E. Hassanien, "A Proposed Architecture for Key Management Schema in Centralized Quantum Network", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Most existing realizations of quantum key distribution (QKD) are point-to-point systems with one source transferring to only one destination. Growth of these single-receiver systems has now achieved a reasonably sophisticated point. However, many communication systems operate in a point-to-multi-point (Multicast) configuration rather than in point-to-point mode, so it is crucial to demonstrate compatibility with this type of network in order to maximize the application range for QKD. Therefore, this chapter proposed architecture for implementing a multicast quantum key distribution Schema. The proposed architecture is designed as a Multicast Centralized Key Management Scheme Using Quantum Key Distribution and Classical Symmetric Encryption. In this architecture, a secured key generation and distribution solution has been proposed for a single host sending to two or more (N) receivers using centralized Quantum Multicast Key Distribution Centre and classical symmetric encryption.

Farouk, A., M. Elhoseny, J. Batle, M. Naseri, and A. E. Hassanien, "A Proposed Architecture for Key Management Schema in Centralized Quantum Network", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 997–1021, 2017. Abstract
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Adham Mohamed, M. M. M. Fouad, Esraa Elhariri, N. El-Bendary, H. M. Zawbaa, Mohamed Tahoun, and A. E. Hassanien, "RoadMonitor: an intelligent road surface condition monitoring system", Intelligent Systems' 2014: Springer International Publishing, pp. 377–387, 2015. Abstract
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Elhoseny, M., A. Farouk, A. Shehab, and A. E. Hassanien, "Secure Image Processing and Transmission Schema in Cluster-Based Wireless Sensor Network", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

WSN as a new category of computer-based computing platforms and network structures is showing new applications in different areas such as environmental monitoring, health care and military applications. Although there are a lot of secure image processing schemas designed for image transmission over a network, the limited resources and the dynamic environment make it invisible to be used with Wireless Sensor Networks (WSNs). In addition, the current secure data transmission schemas in WSN are concentrated on the text data and are not applicable for image transmission's applications. Furthermore, secure image transmission is a big challenging issue in WSNs especially for the application that uses image as its main data such as military applications. The reason why is because the limited resources of the sensor nodes which are usually deployed in unattended environments. This chapter introduces a secure image processing and transmission schema in WSN using Elliptic Curve Cryptography (ECC) and Homomorphic Encryption (HE).

Hafez, A. I., A. E. Hassanien, and A. A. Fahmy, "Testing community detection algorithms: A closer look at datasets", Social Networking: Springer International Publishing, pp. 85–99, 2014. Abstract
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Fouad, M. M. M., N. El-Bendary, R. A. Ramadan, and A. E. Hassanien, "Wireless Sensor Networks, A Medical Perspective", Wireless Sensor Networks: Theory and Applications, pp. 713-732 , USA, CRC Press, Taylor and Francis Group, 2013. k15146_c024.pdf
Conference Paper
Hassan, E. A., A. I. Hafez, A. E. Hassanien, and A. A. Fahmy, " A Discrete Bat Algorithm for the Community Detection Problem", 10th International Conference Hybrid Artificial Intelligent Systems, Bilbao, Spain, 22 June, 2015.
Hassanien, A. E., M. A. Fattah, S. Aboulenin, G. Schaefer, S. Y. Zhu, and I. Korovin, " Historic handwritten manuscript binarisation using whale optimization, Systems", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9, 9-12 Oct. 2016. Abstract

Preserving the content of historic handwritten manuscripts is important for a variety of reasons. On the other hand, digital libraries are rapidly expanding and thus facilitate to store this information directly in digital form. For digitising text documents, a crucial step is to binarise the captured images to separate the text from the background. In this paper, we propose an effective approach for binarisation of handwritten Arabic manuscripts which employs a whale optimisation algorithm, incorporating a fuzzy c-means objective function, to obtain optimal thresholds. Experimental results confirm the effectiveness of the proposed approach compared to earlier methods.

Fouad, M. M., V. Snasel, and A. E. Hassanien, "An Adaptive PSO-Based Sink Node Localization Approach for Wireless Sensor Networks", Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015: Springer International Publishing, pp. 679–688, 2016. Abstract
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