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2022 IEEE International Conference on Current Development in engineering and Technology, CCET 2022

作者： Gupta, Ashok Kumar Siddiqui, Shams Tabrez Qidwai, Khalid Ali Haider, Agha Salman Khan, Haneef Ahmad, Md Oqail Universiti Malaysia Terengganu Faculty of Science and Technology Kuala Terengganu Malaysia Jazan University Department of Computer Science Jazan Saudi Arabia Jazan University Department of Computer and Network Engineering Jazan Saudi Arabia B.S Abdur Rahman Crescent Institute of Science and Technology Department of Computer Application Tamil Nadu India

ISBN: (纸本)9781665454155

Ambiguity is an intrinsic deficiency of natural language written requirement documents. Requirement Engineers face difficulties while communicating with stakeholders from different backgrounds and knowledge to extract requirements. The selection of a suitable requirement elicitation technique plays a critical role to improve the quality of elicited requirements. Differences among elicitation techniques are very large;it implies that some techniques may perform better than others for a particular situation. Generally, requirement engineers select elicitation techniques based on their interests, knowledge, and experience. The selection of the right technique is critical as all techniques can not fit into different situations. In addition, before starting the new project, there is no software available that can help in selecting suitable elicitation techniques based on the situation. This paper proposed a software-based selection of suitable elicitation techniques used in SRAAF (Software Requirement Ambiguity Avoidance Framework). The tool focuses on the first phase of SRAAF, specifically the situational parameter based selection of effective elicitation techniques. These situational parameters are mapped onto the knowledge base for the selection process. The tool takes situational parameters as input related to three categories: project, requirement engineer, and stakeholders. The tool suggests a technique based on situational parameters under the current settings. If any new evidence related to situational parameters, elicitation technique or contextual value is originated, these values or information can be easily included in the tool. © 2022 IEEE.

关键词： Engineers

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Uncovering network Vulnerabilities and Conducting Digital Forensics Analysis for IoT Device Security in 6G

Uncovering Network Vulnerabilities and Conducting Digital Fo...

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International Symposium on Advanced networks and Telecommunication Systems (ANTS)

作者： Shams Tabrez Siddiqui Mohammad Shahid Kamal Khalid Ali Qidwai Md Imran Alam Haneef Khan Malik Zaib Alam Ishan Budhiraja Sandeep Chintham Department of Computer Science Jazan University Saudi Arabia Department of Computer and Network Engineering Jazan University Saudi Arabia School of Computer Science Engineering and Technology Bennett University Greater Noida India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India

The proliferation of IoT gadgets has introduced game-changing technologies across a range of sectors. This widespread use has, however, revealed serious security holes, underscoring the importance of rigorous security measures and digital forensics investigation. Everyday objects are getting online connections, including eyewear, smart-watches, stoves, microwaves, door locks, etc., with most of their data being stored in the cloud. Information is the lifeblood of digital forensics. There was a time when digital forensics only dealt with devices like computers and mobile phones that were physically present at a crime scene. Forensic investigators face new challenges and opportunities as a result of the proliferation of digital data outside traditional storage mediums. This paper explains, what are security breaches, and different IoT security challenges, due to the increase in IoT devices day by day. And investigate the IoT devices by using a digital forensics investigation process that consists of different phases. And finally, discussed recent IoT forensics approaches and frameworks overview

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Improving students' cognitive abilities in online environment based on neurofeedback

Improving students' cognitive abilities in online environmen...

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IEEE Education engineering (EDUCON)

作者： Nuraini Jamil Abderrahmane Lakas Abdelkader Nasreddine Belkacem Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University United Arab Emirates Department of Computer and Network Engineering College of Information Technology United Arab Emirates University United Arab Emirates

The brain-computer interface (BCI) and eye-tracking technologies can potentially improve the learning environment in education. Cognitive BCIs can give a deep knowledge of brain functioning, enabling the creation of more effective learning approaches and improving brain-based abilities. This study proposes a neurofeedback strategy based on BCI and eye-tracking to collect factual data (monitoring students' brainwaves and eye movement) and analyze their cognitive capacities during online learning. This study aims to create patterns regarding students' learning behavior based on brain and eye movement responses to learning activities as part of the learning environment. As a result, teachers may adapt to new pedagogical ideas and a more flexible delivery style.

关键词： Visualization Distance learning Merging Gaze tracking Position measurement Behavioral sciences Task analysis

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Hospital Scheduling Systems Current Challenges and Emerging Solutions

Hospital Scheduling Systems Current Challenges and Emerging ...

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Global Digital Health Knowledge Exchange & Empowerment Conference (gDigiHealth.KEE)

作者： Nura Shifa Musa Saida Hafsa Rafique Elezabeth Mathew College of Engineering Al Ain University Al Ain UAE Department of Information Systems and Security United Arab Emirates University Al Ain UAE Department of Computer and Network Engineering United Arab Emirates University Al Ain UAE

ISBN: (数字)9798331531331

ISBN: (纸本)9798331531348

Hospital scheduling systems are integral components of healthcare management, addressing the complex challenge of optimizing appointment schedules. In the realm of healthcare research, the Appointment Scheduling Problem (ASP) has garnered significant attention due to its multifaceted nature. This problem is particularly pronounced in the outpatient setting, where effective scheduling systems can significantly impact patient satisfaction and overall health care efficiency. Recent comprehensive reviews highlighted the complexity of the Appointment Scheduling Problem within healthcare services, emphasizing the need for innovative solutions and proposing new scheduling models. This paper reviews literature on the topic of hospital scheduling systems, then looks into the current challenges prevalent in it and the emerging solutions that are discussed in literature. The review offers opportunities for innovation and improvements in scheduling procedures while highlighting difficulties with allocation of resources, appointment scheduling, and technology integration. Using advanced technologies into healthcare such as blockchain and AI-driven algorithms, are said to be integral to move in the direction of care that is patient-centric and efficient operations. The study highlights limitations in hospital scheduling systems, including scalability and generalizability, operational uncertainties, need for real-world implementation, and lack of consideration for emergency cases. To improve patient outcomes and the efficiency of healthcare scheduling, ongoing research and development, stakeholder involvement, user-centred design, and longitudinal research are essential. In summary, hospital scheduling systems represent a dynamic area of research, addressing the intricate interplay between patient satisfaction, resource optimization, and technological advancements.

关键词： Technological innovation Uncertainty Hospitals Reviews Scalability User centered design Dynamic scheduling Stakeholders Resource management Research and development

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A Region Division-Based Adaptive Task Offloading in Collaborative LEO Heterogeneous Constellation

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IEEE Internet of Things Journal 2025年

作者： Zhao, Liang Zeng, Minglin Hawbani, Ammar Sun, Yunhe Xu, Lexi Liu, Zhi Zhou, Xiaoming Shenyang Aerospace University School of Computer Science Shenyang110136 China China United Network Communications Corporation Research Institute Beijing100048 China Department of Computer and Network Engineering University of Electro-Communications Chofu Japan State Grid Liaoning Electric Power Supply Co.Ltd Shenyang110002 China

Satellite Edge Computing (SEC) enhances real-time data processing by deploying computational resources at the edge of satellite networks, reducing Task Completion Delay (TCD). To minimize TCD, the characteristics of satellites with large coverage, strong collaborative capabilities, and limited resources must be fully considered. This paper proposes a novel three-stage task offloading framework to optimize task execution in dynamic and resource-constrained satellite environments. First, to efficiently offload computational tasks among large-scale, heterogeneous users, we introduce a region division-based offloading strategy and develop the Adaptive Division Offloading Region (ADOR) algorithm, which dynamically partitions satellite coverage areas to improve offloading efficiency. Second, to enhance the collaborative computing capabilities of Low Earth Orbit (LEO) satellite constellations, we propose a Particle Swarm Optimization Genetic (PSOG) algorithm to optimize TS under dynamic conditions. Finally, to tackle the limited and interdependent computing resources of satellites, we design an Intelligent Parameter Adjustment (IPA) algorithm based on Q-learning, which dynamically adjusts computational parameters to maximize processing speed while ensuring system stability. Simulation results demonstrate that our proposed framework outperforms existing methods. Compared with the baseline algorithm, it achieves higher task offloading efficiency and better resource allocation. Additionally, it maintains stable satellite operations while reaching the highest processing speed. © 2025 IEEE.

关键词： Computation offloading

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D2D Resource Allocation Problem in Full - Load Cellular networks 8th

D2D Resource Allocation Problem in Full - Load Cellular Netw...

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8th International Conference on Artificial Intelligence and Security , ICAIS 2022

作者： Yi, Haimin He, Xiaoli Li, Lun Song, Yu Li, Hongwei Zeng, Zhen Yin, Xiaodong School of Computer Science Sichuan University of Science and Engineering Zigong643000 China Department of Network Information Management Center Sichuan University of Science and Engineering Zigong643000 China China Mobile Group Sichuan Company Limited Zigong Branch Zigong643000 China

ISBN: (纸本)9783031067662

With the increasing demand of local service load, how to improve resource utilization is an important problem. D2D (Device-to-Device) communication is considered to be an effective solution. The letter allows users in close proximity to communicate directly without passing through the base station.D2D communication technology has improved user experience, reduced delay and reduced power consumption and other potential advantages. However, cellular users will be disturbed when D2D users reuse channel resources, resulting in complex interference environment in the cell, so how to allocate resources and interference management of D2D users is an urgent problem to be solved. Aiming at the cellular network scenario, this paper studies the wireless resource allocation algorithm of D2D communication in cellular network, which reduces the interference of D2D users to cellular users and improves the total throughput of cell. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Resource allocation

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Advancements in Millimeter Wave MIMO Antenna Arrays for Enhanced 5G Connectivity

Advancements in Millimeter Wave MIMO Antenna Arrays for Enha...

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Asia-Pacific Conference on Communications

作者： Asmail Abrahim Mohamed Faniar Akram A. Almohammedi Mohammed Balfaqih Electrical & Electronics Department Karabük University Karabük Turkey Department of Computer and Network Engineering University of Jeddah Jeddah Saudi Arabia

This study proposes an optimized MIMO antenna array design for 5G mm-wave communication systems that operates in the 38 GHz band. The design consists of two antenna arrays, each with four evenly spaced elements. The two arrays are assembled with a 90 -degree shift, which provides improved performance in terms of gain, efficiency, and beamforming. The substrate is a Rogers RT5880 with a thickness of 0.254 mm and dielectric constants of 2.2 and a loss tangent of 0.0009, respectively. The proposed work combines the most desirable characteristics, including unique design, high gain, efficiency and wide operation of bandwidth. The proposed array antenna design offers a high efficiency up to 86.56% and high average gain up to 12.35 dBi for port-1 and port-2, resulting in attractive performance. The achievable bandwidth in the 38 GHz frequency band (37.5 – 38.4 GHz) is up to 927 MHz for port-1 and port-2. The return loss of our design is up to – 23.28 dB, which is still considered low loss for 38 GHz. The results obtained show that the antenna is a viable candidate for 5 G applications at 38 GHz.

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Cognitive Defense Cyber Attack Prediction and Security Design in Machine Learning Model

Cognitive Defense Cyber Attack Prediction and Security Desig...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： P.T. Devadarshini B Chandrashekar Sumit Pundir Mohit Tiwari Ravikiran Madala E. Indhuma Department of Artificial Intelligence and Data Science Easwari Engineering College Chennai TamilNadu India Department Of Computer Science and Engineering St. Martin's Engineering College Kompalli Secunderabad Telangana Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttrakhand India Department of Computer Science and Engineering Bharati Vidyapeeth's College of Engineering Delhi Network and Data Center Engineer Ph.D Information Technology University of Cumberlands Durham North Carolina US Department of Computer Science and Engineering St.Martln's Engineering College Secunderabad Telangana India

Companies of all sizes in today's linked digital world are susceptible to cyber dangers. In this study, we provide a novel approach to cyber defence that integrates machine learning with cognitive defensive techniques to identify and prevent cyber attacks in their tracks. We built three ML models that use cognitive defensive strategies and other cutting-edge security measures like encryption and intrusion detection. A 95% accuracy rate was reached by our models, which is far greater than where things stand right now models. Our work has the potential to have a huge effect since the models we've developed may one day help businesses take a more preventative stance against cyber threats. Our findings may potentially be used to fields outside than cyber security. Overall, our study shows that machine learning and cognitive defense are useful for foreseeing and stopping cyber threats, and points the way toward fruitful future study in this area.

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On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities 24

On the Effectiveness of Function-Level Vulnerability Detecto...

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44th ACM/IEEE International Conference on Software engineering, ICSE 2024

作者： Li, Zhen Wang, Ning Zou, Deqing Li, Yating Zhang, Ruqian Xu, Shouhuai Zhang, Chao Jin, Hai Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hong Kong Jin YinHu Laboratory Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China University of Colorado Colorado Springs Department of Computer Science Colorado Springs Colorado United States Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798400702174

Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as function-level vulnerability detectors. However, the limitation of this approach is not understood. In this paper, we investigate its limitation in detecting one class of vulnerabilities known as inter-procedural vulnerabilities, where the to-be-patched statements and the vulnerability-triggering statements belong to different functions. For this purpose, we create the first Inter -Procedural Vulnerability Dataset (InterPVD) based on C/C++ open-source software, and we propose a tool dubbed VulTrigger for identifying vulnerability-triggering statements across functions. Experimental results show that VulTrigger can effectively identify vulnerability-triggering statements and inter-procedural vulnerabilities. Our findings include: (i) inter-procedural vulnerabilities are prevalent with an average of 2.8 inter-procedural layers;and (ii) function-level vulner-ability detectors are much less effective in detecting to-be-patched functions of inter-procedural vulnerabilities than detecting their counterparts of intra-procedural vulnerabilities. © 2024 ACM.

关键词： Open source software

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Light Fidelity system performance in data transmission through the effect of Free-Space Optical Communication

Light Fidelity system performance in data transmission throu...

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International Conference on Smart Communications and networking (SmartNets)

作者： Satea Hikmat Alnajjar Walaa Khalil Abrahem Department of Network Engineering Al-iraqia University Baghdad Iraq Department of Computer Engineering Al-iraqia University Baquba Iraq

ISBN: (数字)9781665487580

ISBN: (纸本)9781665487597

Li-Fi (light-fidelity) considers a new technology in the wireless communication domain that operates light for transmission free space; the end-user has employed Visible Light Communication based on Light Emitting Diodes. This study aims to investigate the performance of Li-Fi to transmit data like video and pictures using different data rates under atmospheric turbulence such as rain and dust that affect FSO, therefore it affects at end-user and verifies the reliability of the Visible Light Communication (VLC) system sending data at high-speed data transmission. The systems are simulated by Optisystem V 18; the proposed system is built as a VLC system linked with fiber optic and free space optic channels to transmit various video sizes and an image using data rates of about 100 Mbps and 600 Mbps, and 1 Gbps over a lengthy distance under different weather, System was estimated in phrases of bit error rate, quality factor, power of signal, signal to noise ratio, and variation in angles. Despite the harsh environmental conditions imposed on the communication network, VLC has proven its ability to transmit high-speed data transmission for user's requirement.

关键词： Optical fibers System performance Optical fiber networks Light fidelity Optical imaging Adaptive optics Visible light communication

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