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إيهاب رشدى محمد عطيه

Personal Website

Ehab Roshdy Mohamed

Faculty Computers and Informatics - Department Information Technology
NULL

Scientific degrees

BSc In NULL, [1995]
MSc In NULL, [2004]
(Data Compression Techniques – A Compartive Study)
PhD In NULL, [2011]
(Optimizing the Performance of Computer Networks using Genetic Algorithm)

الحالة الوظيفية الحالية :

قائم بالعمل

Academic Jobs

معيد : 27/4/1999
Doctor Assisant : 4/12/2004
Doctor : 31/5/2011
Professor Assisant : 25/9/2018
Professor : 4/10/2023

Publications

1 - Solving systems of nonlinear equations via conjugate direction flower pollination algorithm (2017).

2 - A hybrid Technique for Data Compression (2015).

3 - Wireless Sensor Networks and Software Defined Networks Integration (2017).

4 - Krill herd algorithm based on cuckoo search for solving engineering optimization problems (2017).

5 - Efficient compression of bio-signals by using Tchebichef moments and Artificial Bee Colony (2018).

6 - Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication (2018).

7 - Internet of things in smart education environment: Supportive framework in the decision-making process (2018).

8 - FOUR-PHASE PROTOCOL FOR DETECTION, DELETION, PROTECTION AND RECOVERY FROM AUTORUN VIRUS (2018).

9 - Efficient compression of volumetric medical images using Legendre moments and differential evolution (2020).

10 - Cryptographic Accumulator-Based Scheme for Critical Data Integrity Verification in Cloud Storage (2019).

11 - Krill herd ‎algorithm based ‎on cuckoo ‎search for ‎solving ‎engineering ‎optimization ‎problems (2019).

12 - SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM (2020).

13 - Building a New Semantic Social Network Using Semantic Web-Based Techniques (2021).

14 - Fast and accurate face recognition system using MORSCMs-LBP on embedded circuits (2022).

15 - New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework (2022).

16 - Social Search using Semantic Web (2024).

17 - FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks (2023).

18 - P4-HLDMC: A Novel Framework for DDoS and ARP Attack Detection and Mitigation in SD-IoT Networks Using Machine Learning, Stateful P4, and Distributed Multi-Controller Architecture (2023).

19 - Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing (2023).

20 - New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing (2023).

21 - Multilevel Threshold Segmentation of Skin Lesions in Color Images Using Coronavirus Optimization Algorithm (2023).

22 - Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review (2023).

23 - Utilization of mobile edge computing on the Internet of Medical Things: A survey (2023).

24 - An efficient fusion method for Protecting Software-Defined Networks Against ARP Attacks: Analysis and Experimental Validation (2023).

25 - A Survey on Acute Leukemia Expression Data Classification Using Ensembles (2023).

26 - A Neutrosophic Model for Ranking Technical Sol utions for Three Types of ARP Attacks in SDN Architecture (2023).

27 - Single Valued Neutrosophic Sets MCDM Method for Ranking Technologies of Cloud Computing (2023).

28 - An identity management scheme for cloud computing: Review, challenges, and future directions (2023).

Research Area

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