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proposal plays a key role regarding the scope and completion and describes the significance of the proposed research work.
Research proposal demonstrates the importance and the quality of the research as well as reflects on the ability of the researcher to conduct the research. It provides a clear direction towards the solutions. The well-defined proposal is a significant part of the Ph.D works for the successful completion
Research proposal in computer science technology, information technology, and networking provides an innovative platform for research scholars and PhD candidates to build their research knowledge successfully. The research proposal describes the concise and coherent summary outline of the proposed area of the study. It demonstrates the significance and originality of the intended research.
PhD research proposal plays a pivotal role in successfully completing research in their scholarly works. This section paves a path for researchers by providing hot research proposal topics with unique ideas to shine the research career successfully.
With the rapid advancement of Information Technology (IT), especially the Internet of Things (IoT), Internet users have been increasingly accessing the different types of IoT applications. The wide range of smart applications relies on the unprecedentedly generated data streams from IoT devices. IoT environment often deals with erroneous and voluminous data streams, which adversely affect the real-time decision making, and requires the intelligent solutions with the integration of advantages from different technologies and techniques.
Over the years, Vehicular ad hoc networks (VANETs) have become a hot research area in wireless communication. Unique characteristics of VANETs, such as highly dynamic network topology and road topology modeling, match the VANETs to be suitable for several roadside applications, from entertainment to life-saving applications. VANET communication is prone to attacks. The vehicles always seek information exchange, so ensuring certain data confidentiality and privacy within the concerned vehicle is an important aspect of the VANET protocol design. Designing a trusted protocol with a lightweight authentication scheme is an essential and open research area in VANET.
In MANET, an autonomous transitory association of mobile nodes makes wireless communication among them multi-hop. The MANET characteristics impose many design challenges to the MANET protocols. Such traditional inherent challenges to wireless communications are autonomous, dynamic topology, device heterogeneity, and limited battery and memory resources. Despite the many design constraints, MANET offers more advantages to wireless communication. It is highly suitable for disaster environments, where a fixed infrastructure is unavailable, and MANET self-administering capabilities tend to ease deployment with minimum user intervention.
With the rapid evolution of the technological domains, Wireless Sensor Networks (WSN) have become a continuously growing real-world application. Nowadays, WSN is the fundamental technology in the Internet of Things (IoT) paradigm due to the enabling of numerous small interconnected devices. The emergence of the WSN applications leverages the growth of Information Technology (IT) with research directions into different prospects.
With the rapid increase of the digital information on the Web, automatically mining such data becomes increasingly significant in the real world. The extraction of relevant information alone from the massive collection of information confronts the identification of the complex structural relationship between the concepts. The research proposals in the data mining domain need to fulfill the requirements of different real-time applications without compromising the data quality.
Machine learning systems increasingly support the different domains with the capability of performing different tasks on text, image, audio, and video data. The supervised, unsupervised, semi-supervised learning and reinforcement learning models have covered the wide variety of real-time applications and benefits gained by the individual and business organizations. The field of machine learning has numerous research directions toward automating commercial and business activities in the digital world
Cloud computing technology rapidly increases the curiosity of technologists worldwide with its potential advantages. Many businesses have adopted and promoted virtualization in the cloud to provide secure and on-demand services to their customers. The enhancement of the fundamental processes in cloud computing technology with different objective factors has been widely used in banking, e-commerce, healthcare, and social networks.
Fog computing technology supports geo-distributed tasks or applications that require minimal latency. With the target of addressing the energy consumption, privacy, or security constraints in the fog devices, the development of the fog computing models greatly supports the time-sensitive Internet of Things (IoT) applications with the improved Quality of Service (QoS).
Edge computing has managed the distributed computation of tasks on the limited network capacity. The massive execution of the tasks on the edge server that is close as possible to the end-users ensures the minimal battery supply and extends the lifetime of the intelligent devices. The research ideas addressing the challenges cloud computing faces cover the requirements of the time-sensitive smart applications.
Cloud security has become a vital research area in securely managing different cloud services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and also, and different cloud models as private, public, and hybrid. To handle the emerging vulnerabilities and threats in the cloud, involving the multi-tenancy, insider attack, outsider attack, data loss, elasticity, and loss of control, the design of unique security solutions supports the increased adoption of the cloud computing technology.
Mobile cloud computing significantly assists mobile users and developers with increased access to mobile applications worldwide. The emerging technology of mobile cloud computing addresses the constraints in mobile devices, including the battery lifetime, reliability, storage capacity, and processing capacity. Although, the potential advantages of the scalability and dynamic provisioning in the mobile cloud need to be further focused on the contemplation of the energy consumption, delay, and response time.
With the advent of online social networks, the volume of information has increased at an unprecedented rate. The social network analysis confronts the large-scale information that hampers the users' perception ability to make an appropriate decision. The demographic information, social structure, and social media are the potential information sources in the social network, which are to be utilized for developing various real-time applications in different ways.
Nowadays, the World Wide Web and Internet have become popular due to the potential benefits of online users with increased flexibility and cost-efficiency. Web technology provides up-to-date knowledge to the end-users, continuously empowering the end-users and assisting the decision-making. The research concepts in web technology deal with the diversity of the web data towards developing different web applications with the integration of intelligent data mining and decision-making techniques.
In the big data environment, investigating the large-scale data becomes crucial without losing knowledge due to the differences in the data structure and semantic relations of the data. Integrating big data technology with emerging technologies greatly assists data analysis and real-time decision-making success.
In digital forensics, the investigators intend to retrieve digital evidence from digital or cyber devices. With the emergence of intelligent anti-forensic techniques, digital forensic investigation models have become ineffective with different technical flaws. To develop an efficient forensic mechanism, digital forensic researchers have integrated the different decision-making techniques with the different forensic processes to ensure the submission of acceptable evidence by the court.
Cyber security is essential to protect the Cyber-Physical System (CPS) from numerous vulnerabilities and threats. In Information Technology (IT), the possibility of accessing and stealing sensitive data from the protected environment by unauthorized users becomes high. To avoid the significant impact on the society, economy, and physical infrastructure by the cyber threats or attacks, the design of intelligent defense mechanisms is vital against the emerging attack cases.
In recent years, Artificial Intelligence (AI) has gained significant attention in the academia, industry, and government sectors. AI enforces a new age of Information Technology (IT) towards supporting ever-evolving computational advancements with the resemblance to human intelligence. The development of AI-assisted systems facilitates complex decision-making problems through its learning, autonomy, and inscrutable behaviors in various research areas.
Blockchain technology plays a significant role in various applications, such as data sharing and records management. The blockchain's decentralized data management and transaction technology ensure trust between the participants regardless of the third-party data control. Adopting the secure mechanism of blockchain technology for the emerging technologies against several vulnerabilities is vital without compromising the blockchain benefits of transaction transparency, trust, and security.
In recent years, mobile devices have become a vital hub of information and communication medium in the daily life of humans. The computation of mobile tasks or processes in online and offline modes encounters difficulties in the seamless operation of the applications. The rapid adoption of computing and storage resources-aware mobile computing researchers significantly enhances the performance of mobile devices.
In the fields of industry and science, metaheuristics have demonstrated their efficiency in resolving the different complex optimization problems. Metaheuristic algorithms are problem-independent and high-level models with a set of strategies. Notably, tabu search, Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO) are the popular metaheuristics algorithms. Modeling the problem-specific metaheuristic algorithm enhances the decision-making process with the optimal solution within a tolerable computation time.
Software-Defined Networking (SDN) addresses the constraints in the current network infrastructures with its control plane and data plane modeling. An emerging network paradigm of SDN greatly adapts to the load changes and faults in a highly dynamic environment. The research directions in the SDN intend to focus on securing the SDN infrastructure with the support of the dynamic changes in the network.