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Robust steganographic approach using generative adversarial network and compressive autoencoder

Multimedia Tools and Applications 2024年 1-38页

作者： Qasaimeh, Malik Qtaish, Alaa Abu Aljawarneh, Shadi Department of Computer Information Systems Faculty of Computer and Information Technology Jordan University of Science and Technology Irbid Jordan Department of Software Engineering co-joint with the Department of Cyber Security Faculty of Computer and Information Technology Jordan University of Science and Technology Irbid Jordan

Nowadays, social media applications and websites have become a crucial part of people’s lives;for sharing their moments, contacting their families and friends, or even for their jobs. However, the fact that these valuable data are transferred via the Internet and open channels, which are vulnerable to attacks and espionage, requires using defense methods to improve the security of data transmission. Recently, the progress of Deep Learning (DL) inspired researchers to use it with security methods such as steganography, the art of hiding secret data in unrelated content. DL and steganography combined enhanced the hiding properties, especially in the Coverless Image Steganography (CIS) methods. In this paper, we propose a Compressive Coverless Image Steganography (CCIS) model, which is a generated-based CIS, to improve the capacity and robustness of Steganography. This model uses the compressive autoencoder to compress the message, thus increasing the capacity, and uses the Generative Adversarial Network (GAN) to generate a stego image from the compressed vector, thus enhancing concealment ability, besides using a regression model and optimization method to extract the data. Another version was designed to enable sending binary messages by replacing the compressive autoencoder network with a robust mapping rule. Experiments show that the proposed model could improve the characteristics of Steganography. Furthermore, the proposed model could extract binary messages with 256 bits from attacked stego images with 99% recovery accuracy. Thus, capacity and robustness were enhanced using our model with both images and text as secret messages. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Generative adversarial networks

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Enhancing Bandwidth Utilization of IP Telephony Over IPv6 Networks

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Computer Systems Science & engineering 2023年第2期44卷 1039-1049页

作者： Hani Al-Mimi Yousef Alrabanah Mosleh M.Abualhaj Sumaya N.Al-khatib Al-Zaytooanh University of Jordan Faculty of Science and Information TechnologyDepartment of CybersecurityAmman11733Jordan Al-Ahliyya Amman University Faculty of Information TechnologyDepartment of Software EngineeringAmman19328Jordan Al-Ahliyya Amman University Faculty of Information TechnologyDepartment of Networks and Information SecurityAmman19328Jordan

The demand for the telecommunication services,such as IP telephony,has increased dramatically during the COVID-19 pandemic *** tele-phony should be enhanced to provide the expected *** of the issues that should be investigated in IP telephony is bandwidth *** telephony pro-duces very small speech samples attached to a large packet *** header of the IP telephony consumes a considerable share of the bandwidth allotted to the IP *** wastes the network's bandwidth and inﬂuences the IP telephony *** paper proposes a mechanism(called Smallerize)that reduces the bandwidth consumed by both the speech sample and the *** is achieved by assembling numerous IP telephony packets in one header and use the header'sﬁelds to carry the speech *** metrics have been used to measure the achievement Smallerize *** number of calls has been increased by 245.1%compared to the typical *** bandwidth saving has also reached 68%with the G.28 ***,Smallerize is a possible mechanism to enhance bandwidth utilization of the IP telephony.

关键词： –IP telephony codec bandwidth utilization IPv6

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Enhancing Internet-based Resource Discovery: The Efficacy of Distributed Quadtree Overlay 3

Enhancing Internet-based Resource Discovery: The Efficacy of...

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3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024

作者： Alqaraleh, Muhyeeddin Zarqa University Faculty of Information Technology Department of Software Engineering Zarqa13110 Jordan

ISBN: (纸本)9798350375190

Distributed systems based on the Internet allow resources widely dispersed throughout the network to be utilized cooperatively and shared. This allows the end-user to obtain massive computational power to perform a computationally intensive task. This is where the essential function of resource finding comes into play. Even though different procedures have been presented to identify multi-attribute resources, these processes have been plagued by many problems, including significant overhead and inefficiency as the number of resources increases. Distributed Quadtree Overlay is the innovative technology presented in this academic study. With DOTO, distance-aware querying is used. Moreover, since DOTO is constructed via the local network, it does not need any communication. As a result of the trials, the Distributed Quadtree Overlay performed better than the Chord. According to the findings, Distributed Quadtree Overlay is superior to Chord in terms of communication time since it needs fewer hopes and messages, uses less memory, and produces better (shortened) communication times. © 2024 IEEE.

关键词： Distributed computer systems

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Enhanced Resource Discovery Algorithm for Efficient Grid Computing 3

Enhanced Resource Discovery Algorithm for Efficient Grid Com...

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3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024

作者： Alqaraleh, Muhyeeddin Zarqa University Faculty of Information Technology Department of Software Engineering Zarqa13110 Jordan

ISBN: (纸本)9798350375190

In general, parallel applications require lots of computer power and grid computing. Efficient Resource Discovery (RD) algorithms determine grid resource allocation and execution time. To improve the resource distribution and reduce grid node communication costs, this study introduces hierarchical, weighted RD (WRD). A behavioral modeling technique checks the algorithm's accuracy and efficacy. For complete analysis and simulation, StarUML implements a WRD algorithm behavioral model. The NuSMV model checker evaluates reachability and deadlock-free RD. The WRD algorithm is assessed using key performance metrics. To evaluate resource-finding efficiency, each request's inspected nodes are counted. The number of re-discovery operations shows the algorithm's resource flexibility. Algorithms that find free resources with high bandwidth links are also evaluated to optimize grid resource allocation. Resource information tables could improve resource location. Resource information is stored in a table to help the algorithm allocate resources. This research seeks to develop grid computing by solving RD problems. The hierarchical architecture and weighted resource selection of the WRD algorithm improve resource inspection, flexibility, and high-bandwidth RD. Behavioral modeling and verification show the algorithm's accuracy and grid suitability. WRD and resource information tables boost grid computing RD efficiency and efficacy. This research optimizes grid performance and resource allocation. © 2024 IEEE.

关键词： Grid computing

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Bidirectional attentional mechanism for Arabic chatbot

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International Journal of information technology (Singapore) 2024年第5期16卷 3109-3120页

作者： Youness, Farida Elshenawy, Ayman Makour, Mohamed Ashraf Systems and Computer Engineering Department Faculty of Engineering Al-Azhar University Cairo Egypt Software Engineering and Information Technology Department Faculty of Engineering and Technology Egyptian Chinees University Cairo Egypt

A chatbot is an intelligent agent that developed based on Natural language processing (NLP) to interact with people in a natural language. The development of multiple deep NLP models has allowed for the creation of a vector representation of words and sentences that captures meaning in context. In this paper, a generative Arabic chatbot is trained with the Sequence to Sequence (Seq2Seq) model based on encoder-decoder architecture. It utilizes both the bi-directional encoder types of Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM). The chatbot was trained using preprocessed dataset of 12 k conversations that were translated from English to Arabic. An attention layer was provided to the RNNs to focus on the important data between the input and output sequences. The obtained results showed that the proposed chatbot performed well with long sentences and elicited positive responses. In addition to that BiLSTM with attention performs better than BiGRU without attention. To assess the model, the Bilingual Evaluation Understudy (BLEU) Score is employed. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： Arabic chatbot Attention mechanism Deep learning RNN

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Offshore software Maintenance Outsourcing Process Model Validation:A Case Study Approach

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Computers, Materials & Continua 2023年第3期74卷 5035-5048页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel Sulaiman Muhammad Akram Ahmad Salman Khan Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala TerengganuMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan

The successful execution and management of Offshore software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO *** a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development *** frameworks have been developed focusing on guiding software systemmanagers concerning offshore software ***,none of these studies delivered comprehensive guidelines for managing the whole process of *** is a considerable lack of research working on managing OSMO from a vendor’s ***,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s *** study validated the preliminary OSMO process model via a case study research *** results showed that the OSMO process model is applicable in an industrial setting with few *** industrial data collected during the case study enabled this paper to extend the preliminary OSMO process *** refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk.

关键词： Offshore outsourcing process model model validation vendor challenges case study

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Exploring the effect of fingertip aero-haptic feedforward cues in directing eyes-free target acquisition in VR

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虚拟现实与智能硬件（中英文） 2024年第2期6卷 113-131页

作者： Xiaofei REN Jian HE Teng HAN Songxian LIU Mengfei LV Rui ZHOU Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Institute of Software Chinese Academy of SciencesBeijing 100190China Beijing Engineering Research Center for IoT Software and Systems Beijing University of TechnologyBeijing 100124China

Background The sense of touch plays a crucial role in interactive behavior within virtual spaces,particularly when visual attention is *** haptic feedback has been widely used to compensate for the lack of visual cues,the use of tactile information as a predictive feedforward cue to guide hand movements remains unexplored and lacks theoretical *** This study introduces a fingertip aero-haptic rendering method to investigate its effectiveness in directing hand movements during eyes-free spatial *** wearable device incorporates a multichannel micro-airflow chamber to deliver adjustable tactile effects on the *** The first study verified that tactile directional feedforward cues significantly improve user capabilities in eyes-free target acquisition and that users rely heavily on haptic indications rather than spatial memory to control their hands.A subsequent study examined the impact of enriched tactile feedforward cues on assisting users in determining precise target positions during eyes-free interactions,and assessed the required learning *** The haptic feedforward effect holds great practical promise in eyeless design for virtual *** aim to integrate cognitive models and tactile feedforward cues in the future,and apply richer tactile feedforward information to alleviate users'perceptual deficiencies.

关键词： Haptic Feedforward Virtual reality Aero-haptic

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On Campus Low-cost FSO Communication Link Analysis for Backhaul Connectivity in B5G Communications 37

On Campus Low-cost FSO Communication Link Analysis for Backh...

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Free-Space Laser Communications XXXVII 2025

作者： Saeed, Saad Khan, Abdullah Nafis Younis, Usman Faculty of Engineering Information Technology University of the Punjab Arfa Software Technology Park Ferozepur Road Lahore54600 Pakistan

ISBN: (纸本)9781510684584

Increasing demand of high-speed connectivity has challenged the future technologies (5G/B5G) in terms of large bandwidth, ultralow latency, massive coverage, reliable connectivity and rapid deployment. Free space optical (FSO) communication addresses these challenges in a cost effective way due to its unlicensed spectrum, high data-rate and long range. To develop a low-cost indoor FSO link, we present high-speed transceivers based on laser diode and photodiode. The transceiver link has achieved signal transmission up to 65 MHz providing minimum data rate of 130 Mbps using NRZ modulation. Link measurements are performed in an indoor campus environment by employing an optical assembly consisting plano-convex lenses, to achieve a range of 50 meters. An experimental demonstration of a square wave transmission up to 1 MHz is presented along with 53% improved quality of retrieved signal. Moreover, OSNR (13.6 dB) and BER (10−9) parameters are studied to enhance the performance of future FSO networks. © 2025 SPIE.

关键词： Space optics

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YOLOCSP-PEST for Crops Pest Localization and Classification

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Computers, Materials & Continua 2025年第2期82卷 2373-2388页

作者： Farooq Ali Huma Qayyum Kashif Saleem Iftikhar Ahmad Muhammad Javed Iqbal Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Science&Engineering College of Applied Studies&Community ServiceKing Saud UniversityRiyadh11362Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan

Preservation of the crops depends on early and accurate detection of pests on crops as they cause several diseases decreasing crop production and quality. Several deep-learning techniques have been applied to overcome the issue of pest detection on crops. We have developed the YOLOCSP-PEST model for Pest localization and classification. With the Cross Stage Partial Network (CSPNET) backbone, the proposed model is a modified version of You Only Look Once Version 7 (YOLOv7) that is intended primarily for pest localization and classification. Our proposed model gives exceptionally good results under conditions that are very challenging for any other comparable models especially conditions where we have issues with the luminance and the orientation of the images. It helps farmers working out on their crops in distant areas to determine any infestation quickly and accurately on their crops which helps in the quality and quantity of the production yield. The model has been trained and tested on 2 datasets namely the IP102 data set and a local crop data set on both of which it has shown exceptional results. It gave us a mean average precision (mAP) of 88.40% along with a precision of 85.55% and a recall of 84.25% on the IP102 dataset meanwhile giving a mAP of 97.18% on the local data set along with a recall of 94.88% and a precision of 97.50%. These findings demonstrate that the proposed model is very effective in detecting real-life scenarios and can help in the production of crops improving the yield quality and quantity at the same time.

关键词： Deep learning classification of pests YOLOCSP-PEST pest detection

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Web applications testing techniques: a systematic mapping study

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International Journal of Web engineering and technology 2023年第4期17卷 372-412页

作者： Hanna, Samer Ahmad, Amro Al-Said Department of Software Engineering Faculty of Information Technology Philadelphia University Jordan School of Computing and Mathematics University of Keele United Kingdom

Due to the importance of web application testing techniques for detecting faults and assessing quality attributes, many research papers were published in this field. For this reason, it became essential to analyse, classify and summarise the research in the field. To achieve this goal, this research conducted a systematic mapping study on 98 research papers in the field of web applications testing published between 2008 and 2021. The results showed that the most commonly used web applications testing techniques in literature are model-based testing and security testing. Besides, the most commonly used models in model-based testing are finite-state machines. The most targeted vulnerability in security testing is SQL injection. Test automation is the most targeted testing goal in both model-based and security testing. For other web applications testing techniques, the main goals of testing were test automation, test coverage, and assessing security quality attributes. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Mapping

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