Computer Science

https://ieeexplore.ieee.org/xpl/conhome/1848430/all-proceedings

https://www.hindawi.com/journals/wcmc/2022/5431413/

https://doi.org/10.53730/ijhs.v6nS3.8639

(www.JETIR.org) ISSN : 2349-5162 UGC Approved (Journal No: 63975)

(www.JETIR.org) ISSN : 2349-5162 UGC Approved (Journal No: 63975) & 5.87 Impact Factor

www.iosrjen.org ISSN (e): 2250-3021, ISSN (p): 2278-8719

www.iosrjen.org ISSN (e): 2250- 3021, ISSN (p): 2278-8719

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http://www.iosrjen.org/

Analysis and Impact of WhatsApp Messenger usage among students

38-41

Steganography Techniques Used to Hide the Information

An Efficient Pre-Processing Method to Extract Blood Vessel, Optic Disc and Exudates from Retinal Images

A Novel Pre-Processing Technique to Analyze Various Features on Retinal Images

Clustering Methods and Their Classification on Images”,

Analyzation of Image Segmentation Methods Using MATLAB

A literature review on face recognition system using image processing

DOI :10.9790/0661-1902010106.

Recent methods in medical image segmentation: A review

Sensor Based Automatic Line following Robotic Vehicle with Microcontroller Using Arduino

ISBN: 9789394187993

ISBN: 978-93-94198-31-9

ISBN: 978-93-91387-20-4

ISBN: 978-93-91387-20-4

ISBN:9789391387198

ISBN:9789394198029

ISBN: 13: 978-93-91405-49-6 -

ISBN: 978-93-5777-180-1

ISBN: 978-93-5777-180-1

Internet of Things (IoT) applications have become ubiquitous in various aspects of daily life, including smart homes, healthcare, and other areas where human assistance is crucial. However, the valuable real-world data collected by IoT devices and transmitted over the Internet have become a prime target for numerous malicious actors and hackers. Therefore, ensuring secure communication to prevent unauthorized access to this transmitted data is of paramount importance. This research is dedicated to the development of a robust security system for IoT to protect sensor data. Traditionally, IoT systems have relied on fixed encryption keys shared between transmitters and receivers, which presented vulnerabilities as these keys could be easily compromised. In this study, we introduce an enhanced version of the AES algorithm with dynamic keys. In this modified algorithm, each cycle involves the XOR operation of four keywords with the sequence number. Each round of the AES algorithm incorporates various transformations, including DivideSwap, SubBytes, ShiftRows, MixColumns, and AddRoundKey, with the exception of the final round, which excludes the MixColumns operation. To implement and test this upgraded security approach, we utilized hardware components such as the Arduino Uno, ESP8266, and DHT11 sensors. The enhanced AES algorithm was integrated into the Arduino Uno to secure sensor data before transmission across the network. The results of our analysis demonstrate that the proposed IoT security method presents a significantly higher level of cryptographic resilience compared to the traditional AES algorithm, making it a robust solution for safeguarding IoT data.

Performance of individual developers and effort on reworks in agile scrum environments has an impact on the productivity and quality of the developed software. The traditional agile metrics do not consider reworks in measuring productivity. Yet, an enhanced methodology to compute individual performance and quantify reworks in agile scrum contexts is required. By introducing Earned Value Analysis based Productivity Ratio and Blended Quality Metric based on Code Maintainability Index, this gap is bridged. Applying the metrics to ten real time software projects over eighteen months, having twelve sprints each, a framework is decided for performance management in agile scrum development. The findings indicate the efficacy of the metrics in providing valuable insights to improve productivity and quality measures in software development environments.

The Internet of Things is a developing network of embedded gadgets that can connect with the outside world (IoT). Since IoT devices have limited storage, memory, and processing power, they should typically offer the choice to run at lower power levels. These constrained devices are unsuited for security measures that significantly rely on encryption since they cannot carry out complex encryption and decryption quickly enough to allow for the possibility of reliably transferring information in real-time. A public-key encryption method called elliptic curve cryptography is utilised in an IoT setting to guarantee security, however it takes a long time to evaluate because of its scalar increase. While still adhering to the requirements of extremely lightweight encryption, ECC is currently slower than AES. The memory requirements for ECC must be decreased in order for the system to consume less RAM and ROM during operation. This work decreases the scalar increase in the elliptic curve and proposes a novel mapping strategy in order to speed up the assessment process. The succession number multiplies the plain text corresponding ASCII values. The elliptic curve will be input with the multiplied values. By using this innovative technique, ASCII value plaintext avoids overt repetition. The technique is intended to be used to encode or decode any plaintext message that contains ASCII values and a sequence number.

The implicit idea of the IoT is to follow client's identity effectively, so the security and protection concerns like theft the information and disturbance of tasks are turning out to be basic issues in the present IoT applications. Aggressor can pick up the access to the system can harm the physical gadgets of IoT can harm the system which bargains the protection and security of IoT. As the IoT gadgets have low memory, less force and data transmission a productive arrangement to give security is required that won't chomp through the resources of IoT. Because of the resource constrained condition in IoT the regular algorithms isn't sufficient to guarantee the information security. So we want a less computational expense as far as force utilization, memory management and more effective cryptography algorithms to offer more information security in IoT. This paper shows the hybrid cryptography security in IoT by embedding of ECC and TwoFish calculation, which gives an enhanced answer for upgrade the security highlights of the IoT with the goal that we can improve the administration therefore achieves growing the trust over the advancement.

Elliptic Curve Cryptography (ECC) is a current area of enquiry in the domain of Cryptography. ECC is beneficial in various schemes of cryptography due to its lowered key size and rapid generation of key. It is suitable for IoT devices to provide security. Many IoT devices have restricted amount of storage and processing ability. They frequently need to run on low power. Heavy encryption dependent approaches are not a good fit for these constrained devices. They are incapable of performing complicated encryption and decryption quick enough to be able to secure data in real-time transmission. Transformation of text messages to elliptic curve points has always been enigmatic. Comparing to other cryptographic algorithms the arithmetic involved in elliptic curve cryptography is computationally less complicated. This paper provides an overview of elliptic curves, different mapping schemes and their application in cryptography. The emphasis is on the performance gains to be acquired by using elliptic curve cryptography as an alternative to conventional cryptosystem like RSA.

The Internet of Things (IoT) is a paradigm where everyday objects can be equipped with
identifying, sensing, networking and processing capabilities to communicate with one another over
the Internet. There are various healthcare monitoring systems available now which uses internet of
things components. This paper surveys on IoT-based health care monitoring systems available and
their working methodologies. It is observed from the survey that most of the IoT healthcare systems
employ various sensors for reading data from the patients, and then the data transfer to cloud through Base station/Access points, and finally the data analysis and interpretation by specialists. This paper reviews various recent improvements in the field and outlines some of the challenges in IOT based healthcare monitoring systems.

Elliptic Curve Cryptography is a novel exploration public key algorithm in the region of Cryptography. It is reasonable for IoT gadgets to give security. Numerous IoT gadgets have confined measure of processing ability and memory capacity. Elliptic curve furnishes more significant level of security with less key size contrasted with other lightweight Cryptographic methods. Change of instant messages to elliptic curve points has been baffling all of the time. A new mapping scheme has been
proposed in this paper. The relating ASCII values of the plain text are multiplied with sequence number. The multiplied values will be input for the elliptic curve. This new method evades the overt repetitiveness ASCII value plaintext. The algorithm is designed so that it tends to be utilized to encode or decode any given plaintext message of ASCII values with sequence number.

The Internet of Things refers to the quickly developing organization of associated objects that can gather and trade information progressively utilizing installed sensors. IoT will get a large-scale shift in the way we live and work. QoS concerns the transmission capacity (throughput), inertness (delay), jitter (fluctuation in idleness), and blunder rate. Findings: Initially this research proposed adaptive framework reduces the issues in IoT application solidifies three layers explicitly physical, framework (or) organization, and information (or) data. The significant goal is to ensure that to diminish reliable traffic from heterogeneous gadgets with fewer time basics appears close to the end customer with low deferral with better quality necessities achieve high throughput and high bundle transport extent. Secondly, proposed an algorithm, which will include PQ (Priority Queue) and WTB (Weighting Time Based) methodology, named as versatile QoS algorithm to deal with the qualityof-service problems of heterogeneity information in a different application. From experimental results this research finds the
waiting time and execution time of each process, the existing algorithms takes 29ms to execute all five processes with 5 steps. The proposed algorithm takes Versatile Quality of Service Algorithm (VQoS) takes 24.5ms to execute all five processes with 3 steps. At last, this research demonstrated that VQoS calculation handles the nature of administration issues like postponement, jitter, transmission capacity, and throughput from the above test study. Novelty: The proper simulation and experimental results of the above framework helped us to diminish the nature of administration issues like delay, jitter, data transmission, reliability, and so on.

The prescriptive agile framework is a novel approach that leverages an integrated process ontology, involving agile Scrum and OpenUp methodologies. The objective is to enhance both productivity and quality within software development projects where fresh developers are engaged. Key Process elements of OpenUP and agile Scrum are used to construct the ontology. The ontology is defined and instantiated with software projects having the complete user stories. Subsequently a three-sprint project experiment is conducted. The metrics of Earned Value (EV) and Code Maintainability are used to gauge productivity and quality. This research contributes to improving productivity and code quality in software engineering particularly when there are many amateurs.

Service functionality can be provided by more than one service consumer.

Innovation and entrepreneurship are powerful drivers of economic growth, job creation, and societal development. Innovation involves the creation and implementation of new ideas, products, or processes that bring about significant improvements or disruptions. Entrepreneurship, on the other hand, focuses on the identification and pursuit of opportunities, leading to the establishment of new ventures or the expansion of existing businesses. The relationship between innovation and entrepreneurship is mutually
reinforcing, as entrepreneurs leverage innovation to create value, while innovations often emerge from entrepreneurial endeavors. Together, they fuel economic growth, enhance productivity, and foster regional development. Furthermore, innovation and entrepreneurship have a profound societal impact, addressing challenges, improving quality of life, and promoting social mobility and inclusivity. To fully realize the potential of innovation and entrepreneurship, supportive policies, funding, mentorship, and collaboration between academia, industry, and government are crucial. By nurturing a culture of innovation and entrepreneurship, societies can unlock the transformative power of these driving forces and pave the way for a prosperous and sustainable future.

The ability of cloud computing to deliver affordable, simple to administer, elastic, and formidable resources instantly over the Internet is astounding. By maximising and sharing usage, cloud computing enhances the capabilities of the hardware resources. The benefits already discussed motivate businesses and individual users to move their apps and services to the cloud. Even essential infrastructure is being moved to the cloud computing paradigm, such as power generating and distribution facilities. However, there are extra security risks associated with the services offered by third-party cloud service providers. In a shared environment with many users collocated, the movement of user assets (data, apps, etc.) outside of administrative control increases security risks. This survey describes the security concerns that arise because of cloud computing inherent characteristics. The survey also includes the most recent solutions to security problems that have been discussed in the literature. Additionally, a quick overview of security flaws in mobile cloud computing is also presented. The discussion of unresolved difficulties and potential future study topics is also offered in the conclusion.

Disease Prediction using Machine Learning is the system that is used to predict the diseases from the
symptoms which are given by the patients or any user. The system processes the symptoms provided
by the user as input and gives the output as the probability of the disease. Naïve Bayes classifier is
used in the prediction of the disease which is a supervised machine learning algorithm. The probability
of the disease is calculated by the Naïve Bayes algorithm. With an increase in biomedical and
healthcare data, accurate analysis of medical data benefits early disease detection and patient care. By
using linear regression and decision tree we are predicting diseases like Diabetes, Malaria, Jaundice,
Dengue, and Tuberculosis.

Artificial intelligence (AI), known by some as the industrial revolution (IR) is going to change not
only the way we do things, how we relate to others, but also what we know about ourselves. This
article will first examine what AI is, discuss its impact on industrial, social, and economic changes on
humankind in the 21st century, and then propose a set of principles for AI bioethics. The IR1.0, the IR
of the 18th century, impelled a huge social change without directly complicating human relationships.
Modern AI, however, has a tremendous impact on how we do things and also the ways we relate to
one another. Facing this challenge, new principles of AI bioethics must be considered and developed
to provide guidelines for the AI technology to observe so that the world will be benefited by the
progress of this new intelligence.

Although artificial intelligence is the basis of innovation, it currently affects the banking sector.
Improve customer service, credit risk assessment, asset management, criminal investigation and
compliance processes. Artificial intelligence helps many departments through decision making,
automating processes and streamlining tasks. As a result, banks experience better profits, lower
costs, better customer service and better decisions. Although these results exceed the limits of
intelligence, they still need to be taken into account. These may be the high cost of AI, the
potential for errors, and the need for technical expertise. Specific advantages and disadvantages
depend on how AI is used.

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The goal of education for innovation and entrepreneurship is not only to train students to
successfully set up companies and to be ready to create commercial value, but also to educate
them in an entrepreneurial spirit and to nurture their pioneering, innovative and enterprising
nature. In some sense, the ultimate goal is to make entrepreneurship a way of thinking and
acting. In fact, entrepreneurship itself has an element of innovation. Innovation, as opposed to
the mere licensing of patented technology, may rely in addition to technological invention and
process improvement, upon cultural creativity, innovative exterior design or management and
business model innovation

ISBN: 978-93-5777-180-1