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A Hybrid Cybersecurity Algorithm for Digital Image Transmission over Advanced Communication Channel Models

Computers, Materials & Continua 2024年第4期79卷 201-241页

作者： naglaa f.soliman fatma E.fadl-Allah Walid El-Shafai Mahmoud I.Aly Maali Alabdulhafith fathi E.Abd El-Samie Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

The efficient transmission of images,which plays a large role inwireless communication systems,poses a significant challenge in the growth of multimedia ***-quality images require well-tuned communication *** Single Carrier frequency Division Multiple Access(SC-fDMA)is adopted for broadband wireless communications,because of its low sensitivity to carrier frequency offsets and low Peak-to-Average Power Ratio(PAPR).Data transmission through open-channel networks requires much concentration on security,reliability,and *** data need a space away fromunauthorized access,modification,or *** requirements are to be fulfilled by digital image watermarking and *** paper ismainly concerned with secure image communication over the wireless SC-fDMA systemas an adopted communication *** introduces a robust image communication framework over SC-fDMA that comprises digital image watermarking and encryption to improve image security,while maintaining a high-quality reconstruction of images at the receiver *** proposed framework allows image watermarking based on the Discrete Cosine Transform(DCT)merged with the Singular Value Decomposition(SVD)in the so-called DCT-SVD *** addition,image encryption is implemented based on chaos and DNA *** encrypted watermarked images are then transmitted through the wireless SC-fDMA *** linearMinimumMean Square Error(MMSE)equalizer is investigated in this paper to mitigate the effect of channel fading and noise on the transmitted *** subcarrier mapping schemes,namely localized and interleaved schemes,are compared in this *** study depends on different channelmodels,namely PedestrianAandVehicularA,with a modulation technique namedQuadratureAmplitude Modulation(QAM).Extensive simulation experiments are conducted and introduced in this paper for efficient transmission of encrypted watermarked *** addition,different variants of SC-fDMA bas

关键词： Cybersecurity applications image transmission channel models modulation techniques watermarking and encryption

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Evaluation of phosphorus bioavailability in El Mex Bay and Lake Mariut sediments

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International Journal of Sediment Research 2017年第3期32卷 432-441页

作者： naglaa f.soliman Gehan M.El Zokm Mohamed A.Okbah Department of Environmental Studies Institute of Graduate Studies and Research University of Alexandria National Institute of Oceanography and fisheries

Phosphorus(P) fractions and their bioavailability in the sediments from El Mex Bay and Lake Mariut in Egypt were investigated using different chemical extraction methods. Sodium bicarbonate(NaHC03)extractable P(Olsen-P) was the largest fraction(14.42%), followed by algal available P(AAP)(3.56%),water soluble P(WSP)(0.79%), and readily desorbable P(RDP)(0.06%) for El Mex Bay. While AAP contributed 9.94% to total P in sediments from Lake Mariut, Olsen-P 8.53%, WSP 4.11%, and RDP 0.92%.Summation of the bioavailable P fractions didn’t exceed the sediment quality guidelines, and, therefore, P doesn’t represent a danger to marine organisms. Correlation coefficients showed that no apparent relations between total P(TP) and iron(fe), aluminum(Al), and calcium(Ca) in the sediments. furthermore, fe:P ratio was less than 15 indicting that there was not enough fe in surface sediments to bind to P at most of the sampling sites. The positive correlation between TP and organic matter(OM) for Lake Mariut and El Mex Bay sediments indicated that the organic matter content of the sediment was a useful predictor of the total phosphorus content. Data from this study constitute a baseline of phosphorus bioavailability in sediments from El Mex Bay and Lake Mariut and could be used as a reference for future studies on the changes of bioavailable and residual phosphorus fractions over time.

关键词： Phosphorus bioavailability Sediments El Mex Bay Lake Mariut

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Dynamic S-Box Generation Using Novel Chaotic Map with Nonlinearity Tweaking

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Computers, Materials & Continua 2023年第5期75卷 3011-3026页

作者： Amjad Hussain Zahid Muhammad Junaid Arshad Musheer Ahmad naglaa f.soliman Walid El-Shafai School of Systems and Technology University of Management and TechnologyLahore54700Pakistan Department of Computer Science University of Engineering and TechnologyLahore54700Pakistan Department of Computer Engineering Jamia Millia IslamiaNew Delhi110025India Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

A substitution box(S-Box)is a crucial component of contemporary cryptosystems that provide data protection in block *** the moment,chaotic maps are being created and extensively used to generate these SBoxes as a chaotic map assists in providing disorder and resistance to combat cryptanalytical *** this paper,the construction of a dynamic S-Box using a cipher key is proposed using a novel chaotic map and an innovative tweaking *** projected chaotic map and the proposed tweak approach are presented for the first time and the use of parameters in their workingmakes both of these dynamic in *** tweak approach employs cubic polynomials while permuting the values of an initial S-Box to enhance its cryptographic *** of the parameters are provided using the cipher key and a small variation in values of these parameters results in a completely different unique *** analysis and exploration confirmed that the projected chaoticmap exhibits a significant amount of chaotic *** security assessment in terms of bijectivity,nonlinearity,bits independence,strict avalanche,linear approximation probability,and differential probability criteria are utilized to critically investigate the effectiveness of the proposed S-Box against several *** proposed S-Box’s cryptographic performance is comparable to those of recently projected S-Boxes for its adaption in real-world security *** comparative scrutiny pacifies the genuine potential of the proposed S-Box in terms of its applicability for data security.

关键词： Substitution-box chaotic map data security tweaking

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A novel hybrid cryptosystem based on DQfrfT watermarking and 3D-CLM encryption for healthcare services

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frontiers of Information Technology & Electronic Engineering 2023年第7期24卷 1045-1061页

作者： fatma KHALLAf Walid EL-SHAfAI El-Sayed M.EL-RABAIE naglaa f.soliman fathi EAbd E.L-SAMIE Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Electrical Engineering Faculty of EngineeringAhram Canadian University6^(th)October CityGiza 12451Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh I1586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

Quaternion algebra has been used to apply the fractional fourier transform(frfT)to color images in a comprehensive ***,the discrete fractional random transform(DfRNT)with adequate basic randomness remains to be *** paper presents a novel multistage privacy system for color medical images based on discrete quaternion fractional fourier transform(DQfrfT)watermarking and three-dimensional chaotic logistic map(3D-CLM)***,we describe quaternion DfRNT(QDfRNT),which generalizes DfRNT to handle quaternion signals effectively,and then use QDfRNT to perform color medical image adaptive *** efficiently evaluate QDfRNT,this study derives the relationship between the QDfRNT of a quaternion signal and the four components of the DfRNT ***,it uses the human vision system's(HVS)masking qualities of edge,texture,and color tone immediately from the color host image to adaptively modify the watermark strength for each block in the color medical image using the QDfRNT-based adaptive watermarking and support vector machine(SVM)*** limitations of watermark embedding are also explained to conserve watermarking ***,3D-CLM encryption is employed to improve the system's security and efficiency,allowing it to be used as a multistage privacy *** proposed security system is effective against many types of channel noise attacks,according to simulation results.

关键词： Color medical image Quaternion Adaptive watermarking Encryption fractional transform Three-dimensional chaotic logistic map(3D-CLM)

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Digital Object Architecture for IoT Networks

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Intelligent Automation & Soft Computing 2023年第1期35卷 97-110页

作者： Mahmood Al-Bahri Abdelhamied Ateya Ammar Muthanna Abeer D.Algarni naglaa f.soliman Department of Computing and IT Sohar UniversitySohar311Oman Department of Electronics and Communications Engineering Zagazig UniversityZagazig44519SharqiaEgypt Telecommunication Networks and Data Transmission St.Petersburg State University of TelecommunicationSt.Petersburg193232Russia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

The Internet of Things(IoT)is a recent technology,which implies the union of objects,“things”,into a single worldwide *** promising paradigm faces many design challenges associated with the dramatic increase in the number of *** identification is one of these challenges that becomes complicated with the increase of network *** this,there is still no universally accepted method of identifying things that would satisfy all requirements of the existing IoT devices and *** this regard,one of the most important problems is choosing an identification system for all IoT devices connected to the public communication *** unique soft-ware and hardware solutions are used as a unique global identifier;however,such solutions have many *** article proposes a novel solution,based on the Digital Object Architecture(DOA),that meets the requirements of identifying devices and applications of the *** work analyzes the benefits of using the DOA as an identification platform in modern telecommunication *** propose a model of an identification system based on the architecture of digital objects,which differs from the well-known *** proposed model ensures an acceptable quality of service(QoS)in the common architecture of the existing public communication networks.A novel interaction architecture is developed by introducing a Middle Handle Register(MHR)between the global register,i.e.,Global Handle Register(GHR),and local register,i.e.,Local Handle Register(LHR).The aspects of the network interaction and the compatibility of IoT end-devices with the integrated DOA identifiers in heterogeneous communication networks are *** developed model is simulated for a wide-area network with allocated registers,and the results are introduced and discussed.

关键词： Internet of things identification digital object architecture handle system security

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An Efficient Breast Cancer Detection framework for Medical Diagnosis Applications

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Computers, Materials & Continua 2022年第1期70卷 1315-1334页

作者： naglaa f.soliman naglaa S.Ali Mahmoud I.Aly Abeer D.Algarni Walid El-Shafai fathi E.Abd El-Samie Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt International Academy for Engineering and Media Science October CityEgypt Department of Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Breast cancer is themost common type of cancer,and it is the reason for cancer death toll in women in recent *** diagnosis is essential to handle breast cancer patients for treatment at the right *** with mammography is the preferred examination for breast cancer,as it is available worldwide and ***-Aided Detection(CAD)systems are used to analyze medical images to detect breast cancer,*** death rate of cancer patients has decreased by detecting tumors early and having appropriate treatment after *** of mammogram images has four main steps:pre-processing,segmentation of the region of interest,feature extraction and classification of the images into normal or abnormal *** paper presents an efficient framework for processing of mammogram images and introduces an algorithm for segmentation of the images to detect *** pre-processing step of mammogram images includes removal of digitization noise using a 2D median filter,removal of artifacts using morphological operations,and contrast enhancement using a fuzzy enhancement *** proposed fuzzy image enhancement technique is analyzed and compared with conventional techniques based on an Enhancement Measure(EME)and local contrast *** comparison shows an outstanding performance of the proposed technique from the visual and numerical *** segmentation process is performed using Otsu’smultiple thresholding *** method segments the image regions into five classes with variable intensities using four *** effectiveness is measured based on visual quality of the segmentation output,as it gives details about the image and positions of *** performance of the proposed framework is measured using Dice coefficient,Hausdorff,and Peak Signal-to-Noise Ratio(PSNR)*** segmented tumor region with the proposed segmentation method is 81%of the ground truth region provided by an ***,the proposed framew

关键词： Breast cancer mammogram images CAD contrast enhancement fuzzy logic segmentation

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3D Path Optimisation of Unmanned Aerial Vehicles Using Q Learning-Controlled GWO-AOA

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Computer Systems Science & Engineering 2023年第6期45卷 2483-2503页

作者： K.Sreelakshmy Himanshu Gupta Om Prakash Verma Kapil Kumar Abdelhamied A.Ateya naglaa f.soliman Department of Instrumentation and Control Engineering Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab144027India Department of Industrial and Production Engineering Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab144027India Department of Electronics and Communication Engineering Zagazig UniversityZagazigSharqia44519Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Unmanned Aerial Vehicles(UAVs)or drones introduced for military applications are gaining popularity in several other fields as well such as security and surveillance,due to their ability to perform repetitive and tedious tasks in hazardous *** increased demand created the requirement for enabling the UAVs to traverse independently through the Three Dimensional(3D)flight environment consisting of various obstacles which have been efficiently addressed by metaheuristics in past ***,not a single optimization algorithms can solve all kind of optimization problem ***,there is dire need to integrate metaheuristic for general *** address this issue,in this paper,a novel reinforcement learning controlled Grey Wolf Optimisation-Archimedes Optimisation Algorithm(QGA)has been exhaustively introduced and exhaustively validated firstly on 22 benchmark functions and then,utilized to obtain the optimum flyable path without collision for UAVs in three dimensional *** performance of the developed QGA has been compared against the various *** simulation experimental results reveal that the QGA algorithm acquire a feasible and effective flyable path more efficiently in complicated environment.

关键词： Archimedes optimisation algorithm grey wolf optimisation path planning reinforcement learning unmanned aerial vehicles

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Novel Path Counting-Based Method for fractal Dimension Estimation of the Ultra-Dense Networks

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Intelligent Automation & Soft Computing 2023年第4期36卷 561-572页

作者： farid Nahli Alexander Paramonov naglaa f.soliman Hussah Nasser AlEisa Reem Alkanhel Ammar Muthanna Abdelhamied A.Ateya Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazig44519SharqiaEgypt

Next-generation networks,including the Internet of Things(IoT),ﬁfth-generation cellular systems(5G),and sixth-generation cellular systems(6G),suf-fer from the dramatic increase of the number of deployed *** puts high constraints and challenges on the design of such *** changing of the network is one of such challenges that affect the network performance,includ-ing the required quality of service(QoS).The fractal dimension(fD)is consid-ered one of the main indicators used to represent the structure of the communication *** this end,this work analyzes the fD of the network and its use for telecommunication networks investigation and *** clus-ter growing method for assessing the fD is introduced and *** article proposes a novel method for estimating the fD of a communication network,based on assessing the network’s connectivity,by searching for the shortest *** the cluster growing method,the proposed method does not require multiple iterations,which reduces the number of calculations,and increases the stability of the results ***,the proposed method requires less compu-tational cost than the cluster growing method and achieves higher *** method is quite simple to implement and can be used in the tasks of research and planning of modern and promising communication *** developed method is evaluated for two different network structures and compared with the cluster growing *** validate the developed method.

关键词： Cluster growing connectivity dense networks fractal dimension network structure shortest route quality of service

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Efficient forgery Detection Approaches for Digital Color Images

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Computers, Materials & Continua 2022年第5期71卷 3257-3276页

作者： Amira Baumy Abeer D.Algarni Mahmoud Abdalla Walid El-Shafai fathi E.Abd El-Samie naglaa f.soliman Department of Communications High Institute for Engineering and TechnologyAl-Obour Obour CityEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia44519Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia

This paper is concerned with a vital topic in image processing:color image forgery detection. The development of computing capabilitieshas led to a breakthrough in hacking and forgery attacks on signal, image,and data communicated over networks. Hence, there is an urgent need fordeveloping efficient image forgery detection algorithms. Two main types offorgery are considered in this paper: splicing and copy-move. Splicing isperformed by inserting a part of an image into another image. On the otherhand, copy-move forgery is performed by copying a part of the image intoanother position in the same image. The proposed approach for splicingdetection is based on the assumption that illumination between the originaland tampered images is different. To detect the difference between the originaland tampered images, the homomorphic transform separates the illuminationcomponent from the reflectance component. The illumination histogramderivative is used for detecting the difference in illumination, and henceforgery detection is accomplished. Prior to performing the forgery detectionprocess, some pre-processing techniques, including histogram equalization,histogram matching, high-pass filtering, homomorphic enhancement, andsingle image super-resolution, are introduced to reinforce the details andchanges between the original and embedded sections. The proposed approachfor copy-move forgery detection is performed with the Speeded Up Robustfeatures (SURf) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matchingwith Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURf algorithm, such as histogramequalization and single-mage super-resolution. Simulation results proved thefeasibility and the robustness of the pre-processing step in homomorphicdetection and SURf detection algorithms for splicing and copy-move forgerydetection, respectively.

关键词： Image forgery splicing algorithm copy-move algorithm histogram matching homomorphic enhancement SISR SURf

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Proposed Different Signal Processing Tools for Efficient Optical Wireless Communications

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Computers, Materials & Continua 2022年第5期71卷 3293-3318页

作者： Hend Ibrahim Abeer D.Algarni Mahmoud Abdalla Walid El-Shafai fathi E.Abd El-Samie naglaa f.soliman Department of Electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazig44519Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh 11586Saudi Arabia

Optical Wireless Communication(OWC)is a new trend in communication systems to achieve large bandwidth,high bit rate,high security,fast deployment,and low *** basic idea of the OWC is to transmit data on unguided media with *** system requires multi-carrier modulation such as Orthogonal frequency Division Multiplexing(OfDM).This paper studies optical OfDM performance based on Intensity Modulation with Direct Detection(IM/DD)*** system requires a non-negativity *** paper presents a framework for wireless optical OfDM system that comprises(IM/DD)with different forms,Direct Current biased Optical OfDM(DCO-OfDM),Asymmetrically Clipped Optical OfDM(ACO-OfDM),Asymmetrically DC-biased Optical OfDM(ADO-OfDM),and *** also considers channel coding as a tool for error control,channel equalization for reducing deterioration due to channel effects,and investigation of the turbulence *** evaluation results of the proposed framework reveal enhancement of *** performance of the IM/DD-OfDM system is investigated over different channel models such as AWGN,log-normal turbulence channel model,and ceiling bounce channel *** simulation results show that the BER performance of the IM/DD-OfDM communication system is enhanced while the fading strength is *** results reveal also that Hamming codes,BCH codes,and convolutional codes achieve better BER ***,two algorithms of channel estimation and equalization are considered and *** algorithms include the Least Squares(LS)and the Minimum Mean Square Error(MMSE).The simulation results show that the MMSE algorithm gives better BER performance than the LS algorithm.

关键词： Optical communication systems OWC IM/DD OfDM MMSE LS ADO-OfDM DCO-OfDM ACO-OfDM

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