Opportunities and Challenges in New Generation Cyber Security Applications Using Artificial Intelligence, Machine Learning and Block Chain

Malik, Sarthak; Malik, Praveen Kumar; Naim, Arshi

doi:10.1007/978-981-97-1249-6_2

Blockchain Technologies

2024

DOI: 10.1007/978-981-97-1249-6_2

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Opportunities and Challenges in New Generation Cyber Security Applications Using Artificial Intelligence, Machine Learning and Block Chain

Sarthak Malik,

Praveen Kumar Malik,

Arshi Naim

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2024

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Cited by 4 publications

References 20 publications

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AI Safety and Security

Rahaman,

Pappachan,

Orozco

et al. 2024

Advances in Computational Intelligence and Robotics

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The chapter “AI Safety and Security” presents a comprehensive and multi-dimensional exploration, addressing the critical aspects of safety and security in the context of large language models. The chapter begins by identifying the risks and threats posed by LLMs, delving into vulnerabilities such as bias, misinformation, and unintended AI interactions, impacts like privacy concerns. Building on these identified risks, it then explores the strategies and methodologies for ensuring AI safety, focusing on principles like robustness, transparency, and accountability and discussing the challenges of implementing these safety measures. It concludes with an insight into long-term AI safety research, highlighting ongoing efforts and future directions to sustain AI system safety amidst rapid technological advancements and encouraging a collaborative approach among various stakeholders. By integrating perspectives from computer science, ethics, law, and social sciences, the chapter provides an insightful and comprehensive analysis of current and future challenges in AI safety and security.

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AI Safety and Security

Rahaman,

Pappachan,

Orozco

et al. 2024

Advances in Computational Intelligence and Robotics

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Optimizing Business Insights Data Visualization Applications in Sales Forecasting, Marketing Analytics, and Financial Reporting

Abdulla,

Naim,

Muniasamy

et al. 2024

Advances in Business Information Systems and Analytics

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This study explores the application of data visualization in three critical business domains: sales forecasting, marketing analytics, and financial reporting. Through a qualitative approach, the study investigates how visualizing data in these areas enhances decision-making, improves operational efficiency, and drives business growth. Thematic analysis of interviews with industry professionals reveals key insights into the benefits and challenges of utilizing data visualization tools in sales, marketing, and finance. The findings contribute to a deeper understanding of the role of data visualization in optimizing business insights across diverse functional areas.

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Enhancing Business Applications in ENT Diseases Management Through Data Visualization

Khan,

Gauthaman

et al. 2024

Advances in Business Information Systems and Analytics

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This qualitative study investigates the impact of data visualization on business applications in the management of ear, nose, and throat (ENT) diseases. Through semi-structured interviews with ENT specialists, hospital administrators, and IT experts, the study explores the role of data visualization tools in enhancing operational efficiency, clinical decision-making, resource management, and patient engagement within ENT clinics. Preliminary analysis of interview data reveals that data visualization tools streamline clinic operations, improve diagnostic accuracy, optimize resource allocation, and empower patients to actively participate in their treatment plans. These findings underscore the significant potential of data visualization in transforming ENT clinics into more efficient and patient-centric healthcare settings. Further research is needed to delve deeper into the implementation strategies and long-term impacts of data visualization tools in ENT diseases management.

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Opportunities and Challenges in New Generation Cyber Security Applications Using Artificial Intelligence, Machine Learning and Block Chain

Cited by 4 publications

References 20 publications

AI Safety and Security

AI Safety and Security

Optimizing Business Insights Data Visualization Applications in Sales Forecasting, Marketing Analytics, and Financial Reporting

Enhancing Business Applications in ENT Diseases Management Through Data Visualization

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