International Journal of Computing and Digital Systems最新文献_第8页

Towards Robust and Low Latency Security Framework forIEEE 802.11 Wireless Networks 为 IEEE 802.11 无线网络开发稳健且低延迟的安全框架

International Journal of Computing and Digital Systems Pub Date : 2024-04-06 DOI: 10.12785/ijcds/1501112

Inam Ul Haq, Amna Nadeem, Saba Ramzan, Nazir Ahmad, Yasir Ahmad

{"title":"Towards Robust and Low Latency Security Framework for\u0000IEEE 802.11 Wireless Networks","authors":"Inam Ul Haq, Amna Nadeem, Saba Ramzan, Nazir Ahmad, Yasir Ahmad","doi":"10.12785/ijcds/1501112","DOIUrl":"https://doi.org/10.12785/ijcds/1501112","url":null,"abstract":": Due to inherent vulnerability, wireless networks require additional security, integrity, and authentication. The purpose of this study is to highlight the outdated ”Counter Mode Cipher Block Chaining Message Authentication Code Protocol” (CCMP) that has lately taken the place of the flawed ”Wired Equivalent Privacy” (WEP) protocol for authenticating IEEE 802.11 (WLANs). The IEEE 802.11s, a draught widespread for wireless networks in a mesh topology, also recommended using CCMP (WMNs). Due to CCMP’s two-pass operation, multi-hop wireless networks like WMN have a considerable latency problem. An increase in latency results in a decrease in service quality for multimedia applications as it is sensitive to delays. In addition to highlighting the CCMP’s vulnerability to pre-computation time-memory trade-o ff (TMTO) attacks, this paper recommends improving WLAN packet security by implementing a packet-by-packet security mechanism. Furthermore, we propose a fresh, dependable, low-latency foundation for WMN. Our security framework architecture employs a piggyback challenge-response mechanism to ensure data secrecy and data integrity. The use of a secret nonce, a new encryption key for each packet, and packet-level authentication are all features of the Piggyback challenge-response protocol. By authenticating every packet, unauthorized access can be swiftly prevented.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"39 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140735181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Semi-symmetrical Coprime Linear Array with ReducedMutual Coupling Effect and High Degrees of Freedom 具有降低相互耦合效应和高自由度的半对称共轭线性阵列

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501105

Fatimah Abdulnabi Salman, Bayan Mahdi Sabbar

引用次数: 0

Deep Learning Model For Autism Diagnosing 用于自闭症诊断的深度学习模型

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501109

Mazin R. Swadi, Muayad S. Croock

引用次数: 0

Revolutionizing Cloud-Based Task Scheduling: A Novel HybridAlgorithm for Optimal Resource Allocation and Efficiency inContemporary Networked Systems 革新基于云的任务调度：当代网络系统中优化资源分配和效率的新型混合算法

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501110

Punit Mittal, Satender Kumar, Swati Sharma

{"title":"Revolutionizing Cloud-Based Task Scheduling: A Novel Hybrid\u0000Algorithm for Optimal Resource Allocation and Efficiency in\u0000Contemporary Networked Systems","authors":"Punit Mittal, Satender Kumar, Swati Sharma","doi":"10.12785/ijcds/1501110","DOIUrl":"https://doi.org/10.12785/ijcds/1501110","url":null,"abstract":": The need for cloud computing has increased in the age of contemporary networked systems, driving the pursuit of optimal resource allocation and data processing. It is imperative in essential fields where security, such as transportation systems, depends on computing performance. Even after much research has been done on managing resources in cloud computing, finding algorithms that maximize job completion, minimize costs, and maximize resource consumption has remained a top priority. However, existing techniques have shown limitations, which calls for new ways. Our work shows the novel hybrid approach that has the potential to change the game completely. The Neural Network Task Classification (N2TC) is the result of merging neural networks with genetic algorithms. This ground-breaking method skillfully applies the Genetic Algorithm Task Assignment (GATA) for resource allocation while utilizing neural networks for task categorization. Notably, our algorithm carefully considers execution time, response time, costs, and system e ffi ciency to promote fairness, a defense against resource scarcity. Our method achieves a remarkable 13.3% cost reduction, a stunning 12.1% increase in response time, and a 3.2% increase in execution time. These strong indicators act as a wake-up call, announcing our hybrid algorithm’s power and revolutionary potential in transforming the paradigms around cloud-based task scheduling. This work represents a turning point in cloud computing, demonstrating an innovative combination of algorithms that not only overcomes current constraints but also ushers in a new era of e ffi cacy and e ffi ciency with far-reaching implications outside the domain of transportation systems","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"10 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Process and Impact Evaluation of Artificial Intelligence inManagerial Accounting: A Systematic Literature Review 人工智能在管理会计中的应用过程和影响评估：系统性文献综述

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501104

Dawla Almulla, Mohammed Abbas, Adel Al-Alawi, Lamya Alkooheji

引用次数: 0

A Survey on the MT Methods for Indian Languages: MTChallenges, Availability, and Production of Parallel Corpora,Government Policies and Research Directions 印度语言 MT 方法调查：MTC 的挑战、可用性和平行语料库的制作、政府政策和研究方向

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501107

Sudeshna Sani, Samudra Vijaya, Suryakanth V Gangashetty

{"title":"A Survey on the MT Methods for Indian Languages: MT\u0000Challenges, Availability, and Production of Parallel Corpora,\u0000Government Policies and Research Directions","authors":"Sudeshna Sani, Samudra Vijaya, Suryakanth V Gangashetty","doi":"10.12785/ijcds/1501107","DOIUrl":"https://doi.org/10.12785/ijcds/1501107","url":null,"abstract":": Since 1991, machine translation has been a prominent research area in India, with IIT Kanpur pioneering the original work which has since been expanded to several universities. Only 10 percent of India’s 1.3 billion inhabitants can read, write, and speak English with varying degrees of competence, which makes machine translation crucial in overcoming the linguistic barrier to the internet. The Indian market for commercial products and events is greatly influenced by local languages, making the development and translation of region-based content an essential research topic nowadays. However, Indic-to-Indic language direct translation has faced several challenges and is still going through the experimental phase. Several government-sponsored projects are being undertaken in this regard. Still, there are limited sentence-aligned parallel bi-text resources available for the majority of Indian language pairs. This paper presents a detailed survey of the current trends of research on machine translation between Indian languages, along with their challenges over time. It also presents a timeline of recent research conducted and key findings of past surveys conducted over a decade. Under a single canopy, this paper provides sources of data, the progress made in developing datasets for low-resource Indian languages, various models of translation, encouragement from Indian Govt., and finally, new research directions.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"9 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rocking Across Borders : An Analysis of the MusicalDifferences between Bangladesh and West-Bengal Rock SongsUsing Spotify Audio Features 跨越国界的摇滚：利用 Spotify 音频功能分析孟加拉国和西孟加拉邦摇滚歌曲的音乐差异

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501106

Moshiur Rahman Autul, Durjoy Dey, Partha Protim Paul, Mohammed Raihan Ullah

引用次数: 0

Exploring Radio Frequency-Based UAV LocalizationTechniques: A Comprehensive Review 探索基于无线电频率的无人机定位技术：全面回顾

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501111

Suha Abdulhussein Abdulzahra, Ali Kadhum M. Al-Qurabat

{"title":"Exploring Radio Frequency-Based UAV Localization\u0000Techniques: A Comprehensive Review","authors":"Suha Abdulhussein Abdulzahra, Ali Kadhum M. Al-Qurabat","doi":"10.12785/ijcds/1501111","DOIUrl":"https://doi.org/10.12785/ijcds/1501111","url":null,"abstract":": UAVs (unmanned aerial vehicles) and WSNs (wireless sensor networks) are now two well-established technologies for monitoring, target tracking, event detection, and remote sensing. Typically, WSN is made up of thousands or even millions of tiny, battery-operated devices that measure, gather, and send information from their surroundings to a base station or sink. Within the realm of wireless positioning and communication, UAVs have garnered a lot of interest because of their remarkable mobility and simplistic deployment to tackle the problems of imprecise sensor placement, inadequate infrastructure coverage, and the massive quantity of sensing data that WSN collects. A crucial prerequisite for many position-based WSN applications is node location, or localization. The use of UAVs for localization is more preferable than permanent terrestrial anchor nodes due to their high accuracy and minimal implementation complexity. The possible interference or signal block in such an operating environment, however, might cause the Global Positioning System (GPS) to become ine ff ective or unobtainable. In these conditions, the need for innovative UAV-based sensor node location technologies has become essential. Radio frequency (RF)-based localization techniques are reviewed in the current paper. We examine the available RF features for localization and look into the current approaches that work well for unmanned vehicles. The most recent research on RF-based UAV localization is reviewed, along with potential avenues for future investigation.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attendance System Optimization through Deep Learning FaceRecognition 通过深度学习人脸识别优化考勤系统

International Journal of Computing and Digital Systems Pub Date : 2024-04-01 DOI: 10.12785/ijcds/1501108

Mahmoud Ali, Anjali Diwan, Dinesh Kumar

引用次数: 0

Performance Evaluation of Incremental Conductance andAdaptive HCS MPPT Algorithms for WECS 用于 WECS 的增量电导和自适应 HCS MPPT 算法的性能评估

International Journal of Computing and Digital Systems Pub Date : 2024-03-15 DOI: 10.12785/ijcds/1501101

Ahmed Badawi, Hassan Ali, I. M. Elzein, Alhareth M. Zyoud

引用次数: 0