22 research outputs found
Collective Study On Security Threats In VOIP Networks
No full textAbstract: The Collective study will critically evaluate the voice over internet protocol (VOIP) Security threats, issues & challenges in the communication over the network, the solution provided by different vendors. Authors will be discussing all security issues, different protocols but main focus will be on SIP protocol its implementation and vendors VOIP security system
Analyzing Global Economic Disparities and Growth
No full textThe current study aimed to analyse global economic disparities through the lens of international classification systems, such as those of the United Nations, World Bank, and International Monetary Fund (IMF). Countries are grouped into developed, emerging, developing, and least developed economies based on indicators, such as Gross Domestic Product (GDP) per capita, GDP adjusted for Purchasing Power Parity (PPP), industrialization level, and human development indices. The research highlighted how such classifications reveal structural imbalances in global wealth, production, and living standards. Using 2022–2023 data, the study compared economic performance across major regional and institutional groups including the European Union (EU), the Group of Seven (G7), and fuel-exporting nations to identify key patterns of inequality and growth potential. Findings showed substantial variation in income distribution and productivity, underscoring the importance of targeted policy, investment, and development strategies. These insights contribute to a clearer understanding of how global classifications inform sustainable growth and international cooperation
Efficient and Secured Mechanisms for Data Link in IoT WSNs: A Literature Review
No full textThe Internet of things (IoT) and wireless sensor networks (WSNs) have been rapidly and tremendously developing recently as computing technologies have brought about a significant revolution. Their applications and implementations can be found all around us, either individually or collaboratively. WSN plays a leading role in developing the general flexibility of industrial resources in terms of increasing productivity in the IoT. The critical principle of the IoT is to make existing businesses sufficiently intelligent to recognize the need for significant fault mitigation and short-cycle adaptation to improve effectiveness and financial profits. This article presents efficiently applied security protocols at the data link layer for WSN and IoT-based frameworks. It outlines the importance of WSN–IoT applications as well as the architecture of WSN in the IoT. Our primary aim is to highlight the research issues and limitations of WSNs related to the IoT. The fundamental goal of this work is to emphasize a suggested architecture linked to WSN–IoT to enhance energy and power consumption, mobility, information transmission, QoS, and security, as well as to present practical solutions to data link layer difficulties for the future using machine learning. Moreover, we present data link layer protocol issues, attacks, limitations, and research gaps for WSN frameworks based on the recent work conducted on the data link layer concerning WSN applications. Current significant issues and challenges pertain to flow control, quality of service (QoS), security, and performance. In the context of the literature, less work has been undertaken concerning the data link layer in WSN and its relation to improved network performance
Improved Software Requirement process for Software Industries
No full textIn the software system development, requirement engineering plays a great role because system successfulness depends on it. If the requirements are clear and unambiguous in every aspect then the system will be developed error free. A number of clients that are not educated and illiterate, then in this scenario, the given requirements are not clear and full of ambiguous. In this paper, we proposed a method to resolve this problem in the shape of break the requirements, filter it (separate the necessary and un-necessary requirements), break into little bits, numbering them and prioritize them, after it is documented, the requirement that is very helpful for current and future changing in software system and finally shift to the development team for develop the project. We will apply this proposed method on case study as experimental to find out the definite and relevant results
Hybrid Intrusion Detection System for RPL IoT Networks Using Machine Learning and Deep Learning
No full textThe Internet of Things (IoT) is transforming everyday objects. However, the limited memory, processing power, and network capabilities of its devices make them susceptible to security breaches. The Routing Protocol for Low-Power and Lossy Networks (RPL) is a promising IoT protocol but faces significant security challenges. Existing research often focuses on individual attacks, utilizing various mitigation strategies, including machine learning and deep learning for detection. This paper proposes an Intrusion Detection System (IDS) using the ROUT-4-2023 dataset, which encompasses Black Hole, Flooding, DODAG Version Number, and Decreased Rank attacks. The study investigates network traffic features encompassing all four attacks, utilizing statistical information graphs. Additionally, it experiments with various machine learning models and deep learning architectures for comparative analysis, focusing on confusion matrix outcomes and computational efficiency. Results indicate that Random Forest classifier achieves 99% accuracy, while Transformers reach 97% F1-Score with training time of only 16.8 minutes over 5 epochs
Wireless Sensor Security Issues on Data Link Layer: A Survey
No full textvia a communication medium like the internet. Computer network development has proposed how humans and devices communicate today. These networks have improved, facilitated, and made conventional forms of communication easier. However, it has also led to uptick in-network threats and assaults. In 2022, the global market for information technology is expected to reach 170.4 billion. However, in contrast, 95 of cyber security threats globally are caused by human action. These networks may be utilized in several control systems, such as home-automation, chemical and physical assault detection, intrusion detection, and environmental monitoring. The proposed literature review presents a wide range of information on Wireless Social Networks (WSNs) and Internet of Things (IoT) frameworks. The aim is first to be aware of the existing issues (issues with traditional methods) and network attacks on WSN and IoT systems and how to defend them. The second is to review the novel work in the domain and find its limitations. The goal is to identify the areas primary gray field or current research divide to enable others to address the range. Finally, we concluded that configuration. Message Rapid Spanning Tree Protocol (RSTP) messages have higher efficiency in network performance degradation than alternative Bridge Data Unit Protocol (BPDU) forms. The research divides our future research into solutions and newly developed techniques that can assist in completing the lacking component. In this research, we have selected articles from 2015 to 2021 to provide users with a comprehensive literature overview
Cloud Information Security Challenges and Accountable Solutions
No full textCloud computing model is an advanced framework which utilizes consolidated idea of “utilitycomputing” and “software-as-a-service”, providing convenient and on-demand services torequested end users. Security in cloud figuring is a basic angle confronting a few issues that must bemulled over. Safety from any sort of external threats must be taken into care by the cloud serviceprovider and consumer so that any data theft issue is not faced by the customer afterwards. Aprobability emerges that a noxious customer can invade the cloud by having honest customers,therefore defiling the entire cloud and affecting various customers who are sharing the tainted cloudin the meantime. This exploration covers the parameters that impact the security of the cloud and itin this way it also examines cloud security issues looked by cloud expert centres and purchasers ofcloud, for instance, data integrity and other security issues
Ambient Intelligence
No full textAmbient intelligence is electronic environment which are sensitive to the presence of people. It is the light of future technologies. All AMI subsystems are interact with each other to accomplish their goal. AMI applications which are directly interact to define the environment. It shows that human environment which are not produced this process. The AMI systems should identify the various emotions of human experience. The AMI systems can also highlight the communication of the user. The AMI systems which is consists of robots and sensors
Case study (A and B): a patient with Parkinson’s disease
No full textParkinson’s disease is a progressive and debilitating neurodegenerative disorder affecting millions of people worldwide. The disease is characterized by motor symptoms such as tremors, rigidity and postural instability, as well as non-motor symptoms such as depression and cognitive impairment. While there is no cure for Parkinson’s disease, there are various treatments available to manage symptoms and improve quality of life for patients.This case study examines a 65-year-old retired accountant, Mr. John Smith, who was diagnosed with Parkinson’s disease five years ago. Mr. Smith has been treated with a combination of medications, including levodopa and carbidopa and physical therapy to manage his symptoms. However, his symptoms have not significantly improved.This literature review explores the current research on Parkinson’s disease, including its pathophysiology, diagnosis and treatment. Parkinson’s disease is caused by the degeneration of dopamine-producing neurons in the brain, leading to a depletion of dopamine and the accumulation of alpha-synuclein protein, oxidative stress and inflammation. Diagnosis is based on clinical symptoms, neurological examination and response to dopaminergic therapy. Treatment focuses on managing symptoms, with medications and non-pharmacological interventions such as exercise and physical therapy. Deep brain stimulation is a surgical treatment option that has been shown to be effective in managing motor symptoms.While there is currently no cure for Parkinson’s disease, ongoing research into its pathophysiology and treatment holds promise for improving outcomes for patients. This case study highlights the importance of early diagnosis and personalized treatment plans for patients with Parkinson’s disease
Vehicular Data Cloud Services
No full textThe advance cloud computing has provided an opportunity to resolve the challenges which effects by increasing transportation issues. Two methods of cloud services are available these are parking and mining. Mobile cloud computing has improved the storage capacity, stand by time of mobile terminals by migrating data processing to the remote cloud. The introduction of smart phones, cloud computing the automotive system is shifting toward the internet of vehicles
