Ethical Challenges in Cybersecurity, Data Privacy and IP in Supply Chain Management | Chapter 4 | New Horizons of Science, Technology and Culture Vol. 4

 

In today's globalised and digitally interconnected world, supply chain management (SCM) is confronted with complex ethical challenges that have far-reaching implications for businesses and their stakeholders. This study provides an in-depth exploration of three critical areas of ethical concern in SCM: data privacy, cybersecurity, and intellectual property (IP) rights. Through a comprehensive analysis that includes a review of existing literature, cross-case studies, and thematic coding of expert interviews, the study identifies and examines the multifaceted risks and challenges that organisations face in these domains. Three case studies from different industries, such as Technology, Pharmaceutical, and Automotive, were selected. Additionally, three experts were interviewed in this study. The findings highlights that third-party vendors and partners often represent significant points of vulnerability, particularly in terms of cybersecurity. The potential for data breaches and the subsequent impact on both the supply chain and customer trust necessitate rigorous third-party due diligence and proactive cybersecurity measures. Furthermore, the study underscores the importance of transparency in data privacy practices as a means of building and maintaining trust with stakeholders, especially in a regulatory environment that is increasingly focused on consumer rights and data protection. In the realm of intellectual property, the study reveals the ongoing struggle to protect proprietary information in a global supply chain context, where legal protections can vary significantly across jurisdictions. The findings emphasise the need for robust legal frameworks and vigilant enforcement to prevent IP theft, while also addressing the delicate balance between fostering innovation through collaboration and safeguarding competitive advantages. The study also identifies the development of an ethical culture within organisations as a critical factor in effectively managing these risks. Leadership commitment to ethics, coupled with regular employee training and awareness programs, is shown to be instrumental in embedding ethical considerations into daily operations. This ethical foundation not only helps in preventing ethical breaches but also supports long-term sustainability and resilience in supply chain management.

 

Author(s) Details

Deepshikha Aggarwal
Department of Information Technology, Jagan Institute of Management Studies, Delhi, India.

 

Deepti Sharma
Department of Information Technology, Jagan Institute of Management Studies, Delhi, India.

 

Archana B. Saxena
Department of Information Technology, Jagan Institute of Management Studies, Delhi, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v4/6032

Linking English and Cyber Security: Innovative Methods to Enhance Comprehension and Implementation of Security Measures | Chapter 6 | Language, Literature and Education: Research Updates Vol. 2

Language proficiency and cyber security are intimately related in today's digital world. Effective communication becomes crucial for comprehending, putting into practice, and upholding security protocols as cyber threats change. This chapter examines how cyber security awareness, training, and the actual implementation of security measures are improved by fluency in the English language. People are better able to comprehend security requirements, evaluate cyber dangers, and communicate more effectively in defence plans when English language teaching is combined with cyber security expertise. In order to promote a more secure digital environment, the chapter highlights the value of language competency as a tool for enhancing cybersecurity procedures and offers a framework for integrating language instruction with security education.

 

Author (s) Details

P. Kalyani Swapna
Ramachandra College of Engineering, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/lleru/v2/4757

Detection and Selection of Task-specific Features Algorithms for IoT-based Networks | Chapter 6 | Research Updates in Mathematics and Computer Science Vol. 6

 

In IoT-based home/enterprise network applications, an advanced security system is desirable for resource-constrained devices. Feature selection significantly affects the performance of a Machine Learning-based Intrusion Detection System (ML-IDS) to which data of the highest quality should be fed. An appropriate feature selection with sufficient features increases the accuracy of the Intrusion Detection System (IDS) classification. In addition, the consistent use of the same metrics in feature selection and detection algorithms further enhances classification accuracy. First, this paper studies two feature selection algorithms, Information Gain, a metric of entropy, and PSO-based feature selection, a metric of misclassification, to select a minimum number of attack feature subsets for resource-constrained IoT devices. Then, the detection algorithms for multi-classifications, Tree and Ensemble, are evaluated regarding non-consistent and consistent metrics. For specific performance comparison, the same metrics for feature selection and detection algorithm are utilized and compared with non-consistent use of feature selection and detection algorithm, e.g., feature selection by Information Gain (entropy) and Tree detection algorithm by classification.

 

Author(s)details:-

 

Yang Kim
Department of Computer Engineering Technology, City Tech, CUNY, NY 11201, USA.

 

Benito Mendoza
Department of Computer Engineering Technology, City Tech, CUNY, NY 11201, USA.

 

Ohbong Kwon
Department of Computer Engineering Technology, City Tech, CUNY, NY 11201, USA.

 

John Joon
Department of Mathematics, Computer Science and Cybersecurity, Mercy University, Dobbs Ferry, USA.

 

Please See the book here :-  https://doi.org/10.9734/bpi/rumcs/v6/3773G

Evaluating and Enhancing Cybersecurity Awareness and Training Programs in Middle Eastern Universities: A Post-COVID Perspective | Chapter 2 | Research Updates in Mathematics and Computer Science Vol. 1

The Security Awareness and Training (SAT) program enables organizational members to understand the organization’s security strategies, know their responsibilities, and control risks that are caused by security incidents. The need for this program has reached an all-time high since COVID-19, which has led organizations to conduct their operations online. One of the most affected fields was the educational field which needed to shift its methods from conventional methods to online learning and teaching pedagogies. Therefore, implementing an SAT program is a critical step for any institution to assure that information assets are appropriately secured. The aim of this chapter is divided into folds: first, to gain an insight and determine the information security awareness and training program levels in the Middle Eastern higher education sector through a case study that examined 182 institute websites over eight countries that were examined before and after COVID-19. Second, to provide recommendations based on the findings that aid information security professionals to establish a new awareness and training program or improve an existing one. Literature showed that no study has been done on the SAT program at the level of the entire Middle Eastern region specifically before COVID-19. However, there was a need for this investigation and therefore, it was a pioneering study at the regional level in the field of information security. The result showed improvements in deploying the SAT program after COVID-19.

Author(s) Details:

Mohammad S. Eyadat,
California State University, Dominguez Hills, Carso, California, USA.

Please see the link here: https://stm.bookpi.org/RUMCS-V1/article/view/13669

The Future of Outage Management: How Information Technology is Powering Innovation in the Energy Industry | Book Publisher International

 The utility industry is undergoing a significant transformation driven by technological advancements and evolving consumer expectations. Outage Management and Communication Systems in the Utility Industry is a comprehensive Books that explores the current landscape and future prospects of outage management and communication systems within this dynamic sector.   Chapter 1 provides an introductory overview of outage management and communication systems, emphasizing their critical role in the utility industry and the need for effective solutions.  In Chapter 2, we analyze the current challenges faced by utility companies in outage management, underscoring the impact of inefficiencies on both utilities and customers. Chapter 3 delves into the application of advanced data analytics, including big data and machine learning, for predictive outage management, with real-world case studies illustrating successful implementations. Chapter 4 explores the integration of intelligent automation and robotics in outage restoration, shedding light on the benefits and challenges of these innovative technologies.  Chapter 5 investigates the role of Internet of Things (IoT) and sensor technologies in real-time outage monitoring and detection, emphasizing the importance of integrating smart meters and IoT devices. Chapter 6 explores the use of Augmented Reality (AR) and Virtual Reality (VR) in outage assessment, repair, and training, displaying how immersive technologies can enhance outage management.  Enhancing customer communication and engagement during outages is the focus of Chapter 7, presenting innovative communication channels and strategies for improving customer experiences. Chapter 8 addresses the challenges and opportunities associated with integrating renewable energy sources into outage management systems, offering solutions for a sustainable future. Chapter 9 highlights the critical importance of cybersecurity and resilience in outage management, emphasizing the need for secure infrastructure and rapid recovery. Chapter 10 provides a glimpse into the future of outage management, discussing emerging technologies and their potential impact on the utility industry. In Chapter 11, readers will find case studies and success stories from utility companies, offering valuable lessons and insights. Chapter 12 explores the regulatory framework and policy considerations surrounding outage management, including compliance challenges and strategies for utilities. Chapter 13 offers practical guidance on implementing outage management systems, outlining best practices and key considerations. Chapter 14 examines the economic and environmental impacts of efficient outage management, emphasizing sustainability and cost-effectiveness. In Chapter 15, we emphasize the importance of training and skill development for outage management personnel, ensuring a competent and responsive workforce. Chapter 16 discusses collaboration and partnerships as key strategies for effective outage management, involving stakeholders and technology providers. Chapter 17 forecasts future trends and advancements in outage management systems, offering predictions for the evolution of communication systems in the utility industry. Finally, Chapter 18 consolidates lessons learned and provides recommendations for improving outage management practices, helping utilities thrive in an increasingly dynamic environment.

Author(s) Details:

Mohammed Rameez Rizvi,
Exelon Corporation, USA.

Please see the link here: https://stm.bookpi.org/TFOMHITPIEI/article/view/12124

Relevance of Cybersecurity Education at Pedagogy Levels in Schools | Chapter 3 | Research Highlights in Mathematics and Computer Science Vol. 7

 Today, the computer network extensively impacts folk’s lives through improved com- munications, interactions, and the exchange of facts. Despite all these positive belongings, it also causes in significant negative issues. Over the current years, cases of connected to the internet fraud, cyber-domineering, racial abuse, betting, and por- nography have increased due to the lack of poise and overall awareness with internet users. Therefore, skilled is a need to create knowledge and training on cybersecurity in schools to protect pupils from cyber-domineering, online fraud, and being marks of prejudice. Research reveals that the level of discretion and awareness among computer network users is still moderate and reduced. To ensure cybersecurity knowledge and knowledge among computer network users, young folk need to get educated on in what way or manner to operate carefully in cyberspace. This education will guarantee that they accept how to keep themselves from cybercrimes. To this extent, this research paper will explore the heart of cybersecurity education in schools and support strategies that educators can utilize to advance cybersecurity education across education institutions. This paper will thus decide how cybersecurity preparation can be implemented in a knowledge institution.

Author(s) Details:

Eric Amankwa,
Grand Canyon University, Arizona, Phoenix, USA.

Please see the link here: https://stm.bookpi.org/RHMCS-V7/article/view/9997

Is Artificial Intelligence a World Changer? A Case Study of OpenAI’s Chat GPT | Chapter 3 | Recent Progress in Science and Technology Vol. 5

 ChatGPT, the Generative Pretrained Transformer grown by OpenAI, has the potential to revolutionize the field of cybersecurity through allure ability to recognize and fix software exposures with extreme veracity and generate complex rule, which can improve productivity. This paper conducts a orderly literature review of new research on the use of ChatGPT in cybersecurity to provide a inclusive overview of the current state of the electronics and its potential affect the field. The research review focuses on the benefits and drawbacks of utilizing ChatGPT to identify and fix operating system vulnerabilities, allure impact on output, and the expected changes in 2023 and further. Furthermore, this review highlights the potential of ChatGPT as a game-dealer in the field of cybersecurity. It further focal points the need for further research to understand allure capabilities and restraints entirely.

Author(s) Details:

Alex Mathew,
Department of Cybersecurity, Bethany College, USA.

Please see the link here: https://stm.bookpi.org/RPST-V5/article/view/9718

Evaluation on Cybersecurity and Privacy Risks of Healthcare Point-of-Care Systems| Chapter 3 | Current Overview on Science and Technology Research Vol. 10

 Point-of-care arrangements are extensively secondhand in healthcare to react quickly and halt critical fitness issues. As a result, POC systems repeatedly process large amounts of individual health information. Therefore, their cybersecurity and solitude requirements are important, while evaluating those necessities is an important task. In this work, we aim at crafty and reporting the execution of a use case approach to judge cybersecurity and privacy necessities and specifications of POC schemes. Accordingly, we detail a use case approach as part of a absolute healthcare IT infrastructure that includes a Health Information System, unification engines, use servers, web aids, medical ploys, smartphone apps, medical modalities (all dossier simulated) and interplay with parties. Overall, following the use case approach, the results obtained indicate that all the working KPI, non-functional KPI and Societal & Roadmap acquired a positive judgment. Furthermore, the usability occurrence from the participants was positive and the use case writing and the validation gradual plan were highly agreeable with the various daily experience of the partners.

Author(s) Details:

Marc Jofre,
Department of Research and Innovation. Fundació Privada Hospital Asil de Granollers, Granollers – 08402, Barcelona, Spain.

Diana Navarro-Llobet,
Department of Research and Innovation. Fundació Privada Hospital Asil de Granollers, Granollers – 08402, Barcelona, Spain.

Ramon Agulló,
Digital Strategy Direction, Fundació Privada Hospital Asil de Granollers, Granollers – 08402, Barcelona, Spain.

Jordi Puig,
Digital Strategy Direction, Fundació Privada Hospital Asil de Granollers, Granollers – 08402, Barcelona, Spain.

Gustavo Gonzalez-Granadillo,
Atos Research and Innovation, Cybersecurity Laboratory, Spain.

Juan Mora Zamorano,
Instituto de Investigation Sanitaria Puerta de Hierro, Servicio Madrileño de Salud, Spain.

Ramon Romeu,
Digital Strategy Direction, Fundació Privada Hospital Asil de Granollers, Granollers – 08402, Barcelona, Spain.

Please see the link here: https://stm.bookpi.org/COSTR-V10/article/view/8903

Detect & Protect-medical Device Cybersecurity| Chapter 4 | Current Overview on Science and Technology Research Vol. 1

 In many businesses today, including healthcare, cybersecurity events have grown to be a major problem. The healthcare sector is much less willing to safeguard its systems from cyberattacks than those other sectors are, which puts the systems at danger. This is a result of the healthcare system's complexity and the fact that different hospitals across the country place varying priorities on cybersecurity. Numerous hospitals around the nation are unprepared to fend off sophisticated cyberattacks. An attack on the healthcare sector includes infrastructure as well as attacks on large data loss, theft, and medical gadgets. These can be extremely expensive for the hospital, leading in millions of dollars in losses, pressures from downtime, a tarnished reputation, and a loss of research and immunizations. As a result, the healthcare sector should make investments in monitoring and safeguarding medical device cybersecurity. Therefore, to harden the systems and monitor intrusion, the healthcare sector should invest in detecting and defending medical device cybersecurity. Utilizing specific programmes, technologies, and behaviours in the hospital will improve cyber resiliency as part of cybersecurity detection and prevention. Some of these technologies and initiatives, however, are neither resilient or self-sustaining. However, if they are adopted and put into practise, they can keep the healthcare system's capacity for resistance to cyberattacks. Among other digital technologies, the detection and protection procedure makes use of artificial intelligence, machine learning, and natural language processing.

Author(s) Details:

Alex Mathew,
Depertment of Cybersecurity, Bethany College, USA.

Hannah Alex,
Brooke High School, USA.

Please see the link here: https://stm.bookpi.org/COSTR-V1/article/view/7937