Publications

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2018
Anas, A., S. Khattab, and A. K. R. A. M. SALAH, "Hovering Patterns: Clickjacking Defense Technique", International Journal of Computer Science and Network Security, vol. 18, issue 2, pp. 130-137, 2018.
Hossny, E., S. Khattab, F. A. Omara, and H. Hassan, "STAGER: Semantic-based Framework for Generating Adapters of Service-based Generic-API for Portable Cloud Applications", IEEE Transactions on Services Computing: IEEE, 2018. Abstract
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2017
Samman, M., S. Khattab, and R. Bahgat, "A WoT Testbed for Research and Course Projects (Book Chapter)", Managing the Web of Things: Elsevier, 2017.
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Towards standard PaaS implementation APIs", International Journal of Cloud Computing, vol. 6, no. 4: Inderscience Publishers (IEL), pp. 306–324, 2017. Abstract
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2016
Anas, M., S. Khatab, and A. Badr, "HeuristicIoT: A Framework for Augmenting Heuristic Search Algorithms byInternet-of-Things Data", International Journal of Computing & Information Sciences, vol. 12, no. 1, pp. 133–141, September, 2016. Abstract
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Younan, M., S. Khattab, and R. Bahgat, "WoTSF: A Framework for Searching in the Web of Things", INFOS '16 Proceedings of the 10th International Conference on Informatics and Systems, Giza, Egypt, May, 2016.
Hossny, E., S. M. Khattab, F. A. Omara, and H. Hassan, "Implementing Generic PaaS Deployment API: Repackaging and Deploying Applications on Hetergeneous PaaS Platforms", International Journal of Big Data Intelligence, vol. 3, issue 4, pp. 257-269, 2016.
Karam, H. A., S. M. Khattab, and A. Salah, "Poster: Web Service based Communication for Devices with Limited Resources", Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion: ACM, pp. 9–9, 2016. Abstract

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Anas, M., S. Khattab, and A. Badr, "Poster: HeuristicIoT: A Framework for Augmenting Heuristic Search Algorithms by Internet-of-Things Data", Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion: ACM, pp. 4–4, 2016. Abstract
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Al-Sayed, M. M., S. Khattab, and F. A. Omara, "Prediction mechanisms for monitoring state of cloud resources using Markov chain model", Journal of Parallel and Distributed Computing, pp. -, 2016. AbstractWebsite

Abstract Cloud computing allows for sharing computing resources, such as CPU, application platforms, and services. Monitoring these resources would benefit from an accurate prediction model that significantly reduces the network overhead caused by unnecessary push and pull messages. However, accurate prediction of the computing resources is considered hard due to the dynamic nature of cloud computing. In this paper, two monitoring mechanisms have been developed; the first is based on a Continuous Time Markov Chain (CTMC) model and the second is based on a Discrete Time Markov Chain (DTMC) model. It is found that The CTMC-based mechanism outperformed the DTMC-based mechanism. Also, the CTMC-based mechanism outperformed the Grid Resource Information Retrieval (GRIR) mechanism, which does not employ prediction, and a prediction-based mechanism, which uses Markov Chains to predict the time interval of monitoring mobile grid resources, in monitoring cloud resources.

Hossny, E., S. Khattab, F. A. Omara, and H. Hassan, "Semantic-based Generation of generic-API Adapters for Portable Cloud Applications", Proceedings of the 3rd Workshop on CrossCloud Infrastructures & Platforms, New York, NY, USA, ACM, pp. 1:1–1:5, 2016. Abstract
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2015
Swidan, A., S. Khattab, Y. Abouelseoud, and H. Elkamchouchi, "A secure geographical routing protocol for highly-dynamic aeronautical networks", Military Communications Conference, MILCOM 2015 - 2015 IEEE, pp. 708-713, Oct, 2015. Abstract
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Younan, M., S. Khattab, and R. Bahgat, "An Integrated Testbed Environment for the Web of Things", ICNS 2015, The Eleventh International Conference on Networking and Services, Rome, Italy, May 24, 2015.
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Finding the pin in the haystack: A Bot Traceback service for public clouds", 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 258-262, Dec, 2015. Abstract
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Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Finding the pin in the haystack: A bot traceback service for public clouds (Extended Abstract)", 3rd International IBM Cloud Academy Conference ICACON 2015, Budapest, Hungary, 22 May, 2015.
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Towards a standard PaaS implementation API: A standard cloud persistent-storage API (Extended Abstract)", 3rd International IBM Cloud Academy Conference ICACON 2015, Budapest, Hungary, 21 May, 2015.
Younan, M., S. Khattab, and R. Bahgat, "Evaluation of an Integrated Testbed Environment for the Web of Things", International Journal On Advances in Intelligent Systems, issue 3 and 4, pp. 467-482, 2015. Website
Sahal, R., S. M. Khattab, and F. A. Omara, "An Improved Search Algorithm for Resource Allocation in Cloud Databases", International Journal of Computer Techniques (IJCT), vol. 2, issue 2, pp. 128-141, 2015. Website
Naji, W. A., S. M. Khattab, and Fatma A. Omara, "Performance Evaluation of the Bingo Electronic Voting Protocol", IOSR Journal of Computer Engineering, vol. 17, issue 2, pp. 89-102, 2015. Website
2014
Elsayed, K., S. Khattab, M. Yousif, M. Farag, K. Qorany, M. Selim, and B. Sharkawi, "IoTified Platform for Constructing IPv6-based Embedded Web of Things Systems ", 4th International Conference on the Internet of Things , Cambridge, Massachusetts USA, October 6-8, 201, 2014.
Hamzah, A. A., S. M. Khattab, and S. S. Gamal, "Cloud antivirus cost model using machine learning", 2014 9th International Conference on Informatics and Systems (INFOS), Cairo, Egypt, Dec 2014. Abstracthamzah2014.pdf

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Ali, M., S. Khattab, and R. Bahgat, "Improving Detection Accuracy in Group Testing-Based Identification of Misbehaving Data Sources", 2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud): IEEE, pp. 167–174, 2014. Abstractali2014.pdf

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Omara, F. A., S. M. Khattab, and R. Sahal, "Optimum Resource Allocation of Database in Cloud Computing", Egyptian Informatics Journal: Elsevier, 2014. Abstract1-s2.0-s1110866514000036-main.pdf

Abstract Cloud computing is a new generation of computing based on virtualization technology.
An important application on the cloud is the Database Management Systems (DBMSs). The work
in this paper concerns about the Virtual Design Advisor (VDA). The VDA is considered a solution
for the problem of optimizing the performance of DBMS instances running on virtual machines
that share a common physical machine pool. It needs to calibrate the tuning parameters of the
DBMS’s query optimizer in order to operate in a what-if mode to accurately and quickly estimate
the cost of database workloads running in virtual machines with varying resource allocation.
The calibration process in the VDA had been done manually. This manual calibration process is
considered a complex, time-consuming task because each time a DBMS has to run on a different
server infrastructure or to replace with another on the same server, the calibration process potentially
has to be repeated. According to the work in this paper, an Automatic Calibration Tool
(ACT) has been introduced to automate the calibration process.
Also, a Greedy Particle Swarm Optimization (GPSO) search algorithm has been proposed and
implemented in the VDA instead of the existed greedy algorithm to prevent the local optimum
states from trapping the search process from reaching global optima. The main function of this
algorithm is to minimize the estimated cost and enhance the VMs configurations.
The ACT tool and the GPSO search algorithm have been implemented and evaluated using TPC-
H benchmark queries against PostgreSQL instances hosted in Virtual Machines (VMs) on the Xen
virtualization environment.

Qubati, L. A., S. Khattab, and I. Farag, "Survey on End-to-End Verifiable Cryptographic Voting Systems.", International Journal of Computer Applications, vol. 100, 2014. AbstractWebsite

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2013
Sahal, R., S. M. Khattab, and F. A. Omara, "GPSO: An improved search algorithm for resource allocation in cloud databases", Computer Systems and Applications (AICCSA), 2013 ACS International Conference on: IEEE, pp. 1–8, 2013. Abstractsahal2013.pdf

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Tourism