International Journal on Recent and Innovation Trends in Computing and Communication
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    The Impact of IMSI Catcher Deployments on Cellular Network Security: Challenges and Countermeasures in 4G and 5G Networks

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    IMSI (International Mobile Subscriber Identity) catchers, also known as "Stingrays" or "cell site simulators," are rogue devices that pose a significant threat to cellular network security [1]. IMSI catchers can intercept and manipulate cellular communications, compromising the privacy and security of mobile devices and their users. With the advent of 4G and 5G networks, IMSI catchers have become more sophisticated and pose new challenges to cellular network security [2]. This paper provides an overview of the impact of IMSI catcher deployments on cellular network security in the context of 4G and 5G networks. It discusses the challenges posed by IMSI catchers, including the unauthorized collection of IMSI numbers, interception of communications, and potential misuse of subscriber information. It also highlights the potential consequences of IMSI catcher deployments, including the compromise of user privacy, financial fraud, and unauthorized surveillance. The paper further reviews the countermeasures that can be employed to mitigate the risks posed by IMSI catchers. These countermeasures include network-based solutions such as signal analysis, encryption, and authentication mechanisms, as well as user-based solutions such as mobile applications and device settings. The paper also discusses the limitations and effectiveness of these countermeasures in the context of 4G and 5G networks. Finally, the paper identifies research gaps and future directions for enhancing cellular network security against IMSI catchers in the era of 4G and 5G networks. This includes the need for improved encryption algorithms, authentication mechanisms, and detection techniques to effectively detect and prevent IMSI catcher deployments. The paper also emphasizes the importance of regulatory and policy measures to govern the deployment and use of IMSI catchers to protect user privacy and security

    “Synthesis,Characterization and Surface Morphology of Conducting Polymer with Nanocomposite Used for wide range of Applications”

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    Polyaniline was utilized for the very first time in a search for cadmium sulphate in an aqueous solution. The search was conducted for the very first time. The present investigation is the pioneering effort to produce a polyaniline-CdS nano-composite through the application of a method known as in-situ oxidative polymerization. Synthesis and study of conducting polymers' physical characteristics are keys. Polyaniline is conductive.  X-ray diffraction (XRD) showed that the matrix contains pure nano CdS particles. This work prepares nanostructured polyaniline (PANI) using four sol-gel methods. Morphology of PANI samples was determined by X-ray diffraction was used to characterize PANI molecular structure (XRD). The results of the characterization of the prepared PANI show that the morphology, chemical composition, crystallinity, conductivity, and surface area were significantly altered as a result of the atypical techniques that were used in its synthesis. This was confirmed by the results of the characterization. This paper examines recent advances in polyaniline conducting polymer production and characteristics. Synthesis of polyaniline using traditional and grafted methods has been reviewed. By this high-accuracy development process, structure and properties are directly related. Structure-modified polyaniline can be used in the future. Observations showed that PANI/CdS nanocomposites have higher DC conductivity than PANI. By oxidizing aniline with cadmium sulfate 3.5 pH, conducting polyaniline nanocomposites with CdS nanoparticles were produced in situ. CdS-nanoparticles affect polyaniline's electrical conductivity. The homogeneous intercalation of CdS nanoparticles leads in a cooperative phenomenon between polyaniline and the nanoparticles, increasing the electrical conductivity of polyaniline nano-composite compared to pure polyaniline

    The Role of Artificial Intelligence and Technological Advancements in Open Banking: Transformation in the Financial Sector

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    In the banking sector, efforts to adapt to new technologies play a critical role in the transformation of financial services. While the concept of open banking is at the center of this transformation, the process of banks adapting to these new approaches is influenced by various factors. Firstly, strengthening and developing technological infrastructure is of paramount importance in banks' adaptation to new technologies. This is often a process requiring significant investments and necessitates banks to restructure and modernize their existing systems. Additionally, regulation and compliance processes are also a determining factor in banks' adaptation to new technologies. Compliance with rules set by financial regulators ensures that banks maintain security and compliance standards while utilizing innovative technologies. Collaborating with financial technology companies is another important strategy that enables banks to rapidly adapt to new technologies. These collaborations allow banks to expand their existing services and offer innovative solutions. Furthermore, customer expectations and demands also influence banks' adaptation to new technologies. As demand for digital banking services increases, banks are compelled to invest more in this area. Additionally, security concerns and data privacy measures are important factors that must be considered in banks' adaptation to new technologies. Protecting and securely processing customer data ensures that banks maintain their reliability. Considering all these factors, banks' efforts to adapt to new technologies are a complex process requiring careful planning, investment, and strategic partnerships. However, when managed properly, these efforts enhance banks' competitive advantage and enable them to provide better services to customers

    The Nexus of Data Science and Big Data: Accelerating Data-Driven Decision Making in the Digital Age

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    In the contemporary digital landscape, integrating data science techniques with big data is essential for organizations to leverage their data effectively. This research paper examines core data science methodologies, including data pre-processing, exploratory data analysis, predictive modeling, and optimization. Through an in-depth exploration of these methods, this article illustrates how they collectively enable tasks such as data cleaning, integration, insightful exploration, accurate predictions through machine learning, and streamlined analysis processes. Emphasizing the complementary relationship between data science and big data, the study underscores how this integration empowers organizations to make informed decisions, enhance operational efficiency, improve customer experiences, and foster innovation across diverse industries. These findings highlight the critical role of data-driven approaches in navigating the challenges of the digital age and shaping the future of global industries

    Savvy Virtual Assistant : Transforming the Way We Use Computer

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    Nowadays, technology has a greater impact on daily life and has become more integrated part. Artificial intelligence is playing a bg role in automating daily rouine tasks. Voice assistants developed using AI are helping in integrating daily life with technology. There are a few voice assistants that we are already familiar with, including Siri and Cortana. It can now function as a simple daily schedule reminder, calculator, note writer and search tool in the voice assistant system. This paper demonstrates voice assistance for using personal computer. It details assistance provided using voice input by producing speech output and displaying text on the screen. The major goals of developed voice assistants are to educate users and provide quick, accurate and easy accesss of personal computer.results. The voice assistant will receive input via microphone, translate input speech into computer-understandable language, and provide the user with the necessary solutions and answers to their queries. It supports sending emails without typing a single letter, running Google searches without opening a browser and carrying out a variety of other routine works like launching your preferred IDE  and playing music. Each task can be done with just one input command

    Project Awakesure: Intelligent Drowsiness Detection Using Eye Tracking

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    Being sleepy or drowsy is referred to as being drowsy. A person who is sleepy may feel exhausted or lethargic and struggle to stay awake. People who are sleepy tend to be less attentive and may even nod off, though they can still be awakened. An increasing number of vocations nowadays call for sustained focus. In order for drivers to respond quickly to unexpected incidents, they must maintain a watchful eye on the road. Many road incidents are directly caused by tired drivers. In order to drastically lower the frequency of fatigue-related auto accidents, it is crucial to develop technologies that can identify and alert a driver to a poor psychophysical state. However, there are many challenges in developing systems that can quickly and accurately recognize a driver's signs of fatigue. Using vision-based technology is one technological option for implementing driver fatigue monitoring systems. The available driver drowsiness detection systems are described in this article. Here, we are assessing the driver's level of sleepiness utilizing his visual system. The automated system for preventing accidents and monitoring sleepy drivers developed for this study is based on detecting variations in the length of eye blinks. Our recommended technique makes use of the eyes' postulated horizontal symmetry property to identify visual changes in eye positions. Our novel approach precisely positions a standard webcam in front of the driver's seat to identify eye blinks. It will identify the eyeballs based on a specific EAR (Eye Aspect Ratio)

    Performance Evaluation and Comparison of Different HVAC Systems for Indoor Temperature Control and Energy Savings

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    HVAC systems are primarily designed to ensure the thermal comfort of building occupants. Traditionally, HVAC systems regulate the fixed temperature to maintain thermal comfort by constantly monitoring the interior air temperature. ASHRAE 55 is a standard that provides acceptable ranges of operational temperatures for air-conditioned buildings. The HVAC system's set-temperature may be adjusted based on the operational temperature, which is influenced by both indoor air temperature and mean radiant temperature, in order to provide neutral thermal comfort for occupants. This research examines the thermal comfort and energy consumption of two identical HVAC systems that are controlled based on interior air temperature and operating temperature, respectively. Two office rooms with identical architectural arrangements situated in Hong Kong were chosen for a case study. The HVAC systems were controlled according to interior air temperature and operational temperature simultaneously, following occupancy schedules. The study found that an HVAC system regulated by operational temperature provides improved thermal comfort at the expense of a modest increase in energy usage. The study's primary results are valuable for designing energy-efficient HVAC systems and improving comfort in indoor spaces

    The Study "Insightroads: Exploration of Data Dissemination Techniques for Ensuring Safety in Vanets"

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    Vehicle Ad Hoc Networks (VANETs) are ad hoc networks created for Intelligent Transportation Systems (ITS) in which vehicles communicate with one another to improve driving effectiveness and traffic safety without depending on a centralised infrastructure. To increase road safety, efficiency, and comfort, these networks allow vehicles to communicate data via sensors, GPS, and communication systems. By assuring accurate message transmission and lowering delivery delays, data dissemination mechanisms used in VANETs serve to further improve driver and passenger safety, productivity, and comfort. The existing literature on Vehicular Ad Hoc Networks (VANETs) includes a variety of proposed mechanisms for data dissemination. This paper aims to conduct literature review to examine the data dissemination techniques for safety applications in VANETs

    Database Security Issues and Challenges in Cloud Computing

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    The majority of enterprises have recently enthusiastically embraced cloud computing, and at the same time, the database has moved to the cloud. This cloud database paradigm can lower data administration expenses and free up new business to concentrate on the product that is being delivered. Furthermore, issues with scalability, flexibility, performance, availability, and affordability can be resolved with cloud computing. Security, however, has been noted as posing a serious risk to cloud databases and has been essential in fostering public acceptance of cloud computing. Several security factors should be taken into account before implementing any cloud database management system. These features comprise, but are not restricted to, data privacy, data isolation, data availability, data integrity, confidentiality, and defense against insider threats. In this paper, we discuss the most recent research that took into account the security risks and problems associated with adopting cloud databases. In order to better comprehend these problems and how they affect cloud databases, we also provide a conceptual model. Additionally, we look into these problems to the extent that they are relevant and provide two instances of vendors and security features that were used for cloud-based databases. Finally, we provide an overview of the security risks associated with open cloud databases and suggest possible future paths

    Comparative Analysis of the Student Learning Performance Behavior in An Online and Modular Class in Computer Art and Technological College, Inc. High School Department

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    The shift to distance teaching and learning during the COVID-19 pandemic brought about a challenge for both teachers and students. To face these difficulties in teaching in the High School department at the Computer Arts and Technological College, Inc., a blended learning strategy in the context of teaching and learning the students were employed. An online strategy that facilitated the transition from traditional face-to-face learning to an online setting. The present study identifies the online setting of teaching and learning and evaluates the behavior of the students based on the learning experience and performance. A comparative analysis was employed in conducting the study. The data were gathered using an online survey questionnaire from random respondents and a semi-structured interview was conducted to collect the general weighted average (GWA) of the students. A weighted mean is used to test the behavior of the students learning experience and a T-test using a two-tailed test was used to test and analyze the behavior performance of the high students taking online and modular classes. The results of the study indicated that the majority of the respondents preferred the limited F2F modality for the coming school year. The behavior of the students based on the learning experience taking the online and modular classes has been attained and there is no significant difference in the behavior performance of the high students taking online and modular classes

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    International Journal on Recent and Innovation Trends in Computing and Communication
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