Research Paper Writing Services for SCOPUS indexed Journals
The Internet of Things (IoT) integrates everyday “things” into the Internet. IoT is an advanced technology that can be activated anywhere and is becoming an integral part of our lives. IoT is a huge connected network that brings things and people together. IoT has launched new technological advances to make IoT more efficient, reliable, and convenient.
Vehicular Ad Hoc Networks (VANET) helps to improve efficiency and safety by reducing the delivery delay time and ensuring the reliability of message delivery. VANETs can use any wireless networking technology as their basis. The most popular VANET application aims to send early alert messages and ensure timely responses to specific situations, safe travel, and localization. VANET directly related the challenging issue of determining the accurate ranges and range rates of vehicles to other vehicles.
Machine learning is a branch of computer science and artificial intelligence (AI) that mainly focuses on data and algorithms to mimic how humans can learn with incremental improvements in accuracy. ML is used in many tasks, such as image recognition, speech recognition, Facebook auto-tagging, and email filtering. ML is a data-driven technology similar to data mining as it deals with huge amounts of data.
Digital Forensics or Digital Forensic Science is a branch of cybersecurity mainly focused on investigating and recovering materials found on cybercrime and digital devices. Digital forensics uses scientifically recognized and validated techniques in and out of court to identify, store, investigate and analyze digital evidence.
Cybersecurity is the academic field and profession concerned with data, networks, and computer systems security. It's about protecting computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. Cybersecurity poses important ethical trade-offs and complex moral questions about whether hackers should be paid to access your data. Cybersecurity is used to promote equality and fairness that is intelligible, transparent, and understandable ways.
Artificial intelligence (AI) is a high-demand and broad field of computer science concerned with building intelligent machines that perform tasks that normally require human intelligence. This allows machines to model and extend the capabilities of the human mind. Specific applications of AI include expert systems, speech recognition, and computer vision.
A blockchain is a system that records information in a way that makes it difficult to modify, hack, or cheat on the system. Blockchain is a digital ledger of transactions replicated and distributed among a network of digital systems. Blockchain is the underlying technology behind Bitcoin that has received appreciable attention from academia and gained much recognition for improving the manufacturing supply chain environment.
Metaheuristics is a high-level problem-agnostic algorithmic framework that provides a set of rules for developing heuristic optimization algorithms designed to find good solutions to difficult optimization problems. It allows trade-offs between solution performance and quality, often finding the optimal solution with minimal computational cost and effort.
Mobile Ad Hoc Networks (MANETs) are peer-to-peer, multi-hop wireless networks in which information packets are stored and forwarded from a source to an arbitrary destination via intermediate nodes. A MANET is a dynamic wireless network formed by a set of mobile hosts which communicate among themselves utilizing the air without any pre-existing infrastructure.
Wireless Sensor Networks (WSNs) allow for innovative and attractive solutions for pervasive environmental monitoring by providing benefits in real-time access to data, long-term monitoring, and system scalability. WSNs are a crucial issue in network design that affects the most important performance metrics like increasing coverage, strengthening connectivity, and robustness. WSNs have a meaningful potential for diverse applications in education, agriculture, surveillance, and military services.
Software Defined Networking (SDN) is an evolving technology that decouples the controller functionality from an underlying hardware managed by the control plane. SDN is growing in popularity due to its high audibility, which raises security and privacy concerns. SDN has the best security schemes to deal with evolving security attacks. It is more flexible than other networks by allowing administrators to control networks, increase network capacity, and provision resources from a central user interface without hardware requirements.
Cloud Computing (CC) is a broad collection of on-demand and scalable virtualized resources accessible over the Internet. It has become a buzzword in high-performance distributed computing because it provides on-demand services over the internet to share resource pools in a self-service-driven manner. The primary goal of cloud computing is to provide scalable access to computing resources and IT services. CC can store a vast amount of data on a local system with limited storage space.
Fog computing (FC) is an extension of cloud computing and represents a major evolution of the cloud that seeks to bring things much closer to the users. Fog computing is a distributed computing infrastructure that allows the management and organization of data, storage, computing, and communication resources to occur in a decentralized manner and close to the end users. FC provides better security and network bandwidth to reduce operating costs, reduce latency, and facilitates the development of fog applications.
Edge Computing (EC) is a new emerging computing paradigm that refers to various networks and devices at or near the users. The edge aims to process data closer to where it originates, enabling faster and larger processing with better real-time actionable results. It offers several unique advantages over the traditional model, where computing power is centralized in on-premises data centers.
Cloud security consists of policies, controls, procedures, and technologies that work together to assure cloud-based systems, data, and infrastructure. Cloud security is a shared responsibility among providers and their customers/users. This includes data covertness and security across online-based infrastructures, applications, and platforms. Cloud security challenges include multi-tenancy, compliance, and misconfiguration.
Mobile cloud computing offers on-demand resources as it grows in popularity due to its cost efficiency and availability. MCC is a trending technology used by the industry as it seeks to introduce and implement better models to improve efficiency while maintaining a high level of security. Cloud-based mobile applications are used in many fields, such as education, banking, and healthcare. MCC still faces several obstacles due to technical, environmental, psychological, and some individuals.
Data mining (DM) is extracting and recognizing patterns from large data sets. Data mining includes six general tasks: anomaly detection, learning association rules, clustering, classification, regression, and summarization. Applying existing data mining methods to real application problems faces many challenges due to poor scalability and some limitations. Data mining helps companies make informed decisions quickly and uncover credit risk and fraud by analyzing large amounts of data.
Big data is a data analysis methodology realized through technological advances for collecting, storing, and analyzing data at a very high speed. This refers to datasets that are very large, diverse, fast, and difficult to manipulate with traditional techniques. Current uses of big data refer to predictive analytics, user behavior analysis, or other advanced data analysis methods to extract insights from big data, and rarely to specific size data sets.
Mobile computing (MC) is a technical field involving the design, development, and evaluation of mobile applications using convenient solutions to meet customer/user needs. It refers to a set of IT tools, services, and operational methods that enable users to access computers, data related resources and functions. MC has been widely used in several application areas.
A social network is a website that allows people with similar interests to come together and share personal or private information, photos, and videos. Social networks are one of the most important uses of the internet today. Online social networks like Twitter, Facebook, Instagram, and WhatsApp have grown extremely popular in human life with individuals, colleagues, and organizations. The benefit of social networking is staying connected with the world of people by quick means of communication.
Web technologies refer to various tools and strategies used to communicate among various types of devices over the Internet. It refers to how computers can communicate with each other using multimedia packages and markup languages. Web technology provides convenience and speed of communication in the computer world.
Step1: Fixation of PhD Thesis Title
Title fixation for PhD thesis should be unique, followed by all the essential names of the research study. The titles must be more inclusive and acceptable to reflect the major contribution of the PhD thesis in the field of computer science.
Step 2: Writing the Abstract
Abstract framing is a high-class overall executive summary of the PhD thesis. The content of the abstract includes the core idea, problem motivation, research objectives, proposed research methods, achievements, and limitations. The end of the abstract offers a short description of the rest of the thesis organization.
Step3: List of Contents
Forming a list of contents helps provide direct accessibility for the necessitated page by proclaiming all the headings and sub-headings pointed in the PhD thesis research study, along with the list of tables, figures, and abbreviations used in the thesis.
Step4: Introduction
The most important step is the introduction to the research work of a PhD thesis. This introduction chapter contains the content to understand the responsibility of estimating all the perspectives of the research objectives. The introduction chapter establishes the background, purpose of the research, context and developmental process of the research work as a clear overview.
The introduction chapter also covers the gap analysis to determine the differentiation between the present and desired performance of the proposed research work. The research objective provides the problem statement and the solution that the current research work achieves. The research objective should be specific, quantifiable, attainable, practical, and time-based. Objective lists the major focus of the research work and is divided into the number of research objectives as the outline to proceed with the work. While writing the content of this chapter, the researcher needs to include the fundamental information of the research work and the significance of the research contribution.
Step 5: Related Works
Related work and literature review is the next step to be added in the PhD thesis to impart the survey and critical review of prior related works. This chapter contains the coherent and consistent narrative of the previously published papers related and surveys to the same aspect of the present research work are preserved in the logical flow. Related work of the PhD demonstrates the literature search and critical analysis of the relevant literature characterizing earlier work in the field. While writing this chapter, the latest reference papers are analyzed, and their drawbacks are identified.
This chapter points out the research gap in knowledge, methods, and solutions for the problem that the thesis conflicts. During the updation of related works, highly cited publications, pertinent books, peer-reviewed journal articles, and official website information are utilized from a more consistent resource such as Google Scholar. Few top research journals such as IEEE, ACM, Elsevier, Springer, Science Direct, Wiley, Taylor & Francis, Thomson Reuters, and Inderscience Publishers should be referred for surveys and related works. For this purpose, this chapter must include practical knowledge, theoretical realizations, and contemplation.
Step 6: Research Methodology
Formulating the methodology of the research work covers the measures to achieve objectives for evaluating the reliability and validation of the research work. Research methodology provides depth explanation of the research work with its design, tool, and technologies used. Approaches such as qualitative, quantitative, descriptive, and experimental are utilized to represent the methodology. Research methodology also expresses the mathematical formulation of the research work.
Step 7: Performance Evaluation and Result Discussions
The next chapter is about the results and analyses of the research work. This chapter must concisely introduce the tools used and actual observations; statistical derivations should be analyzed in statements, tables, and graphs, for superior understanding. This section also discusses the graphical representation of obtained current work results with the defense of prior work results and comparative analysis.
Step 8: Conclusion
The conclusion is included in the very last part of the PhD thesis that summarizes all the complete research work by referring back to the main methodology of the thesis for the comprehensive descriptions; the conclusion segment does not comprise detailed descriptions of the issues or the solutions.
Step 9: Future Research Scope
Future directions of the research are enclosed at last, which is critical for future means of evolving research in the subjective fields and summing up the findings by referring back to the problems encountered in the research work.
Step 10: Referencing
In this step, the researcher must cite all the reference sources such as publications, books, journals, articles, and websites exploited in the research using a specific citation format.
