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  • Search: isPartOf:"Generative AI for Web Engineering Models"
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chapter 21
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Rehman, Abdul 5 Jhanjhi, N. Z. 4 Shah, Imdad Ali 4 Farooq, Sumair 3 Mahadevappa, Poornima 3 Naeem, Muhammad 3 Siraj, Muzzammil 3 Tayyab, Muhammad 3 Ali, Shoukat 2 Arbab, Saira Khurram 2 Bhambri, Pankaj 2 Brohi, Sarfraz Nawaz 2 Khan, Nasrullah 2 Miran, Safdar 2 Muzammal, Syeda Mariam 2 Rana, Rachna 2 Abdali, Ahmad Shah 1 Ahmad, Bilal 1 Alansari, Zainab 1 Ashraf, Humaira Z. 1 Darwish, Dina 1 Devadas, Raghavendra M 1 Ebrahim, Mansoor 1 Gujjar J., Praveen 1 Hakeem, Arsalan 1 Hameed, Khizar 1 Hiremani, Vani 1 Hussain, Fida 1 Hussain, Imtiaz 1 Khan, Aurangzeb 1 Khan, Muneeba 1 Liaquat, Adil 1 Mehboob, Asim 1 Mumtaz, Majid 1 Muzammal, Syeda Mariam Mariam 1 Nawaz, Sarfraz 1 Preethi 1 Rizwan, Farzeen 1 Sapna, R. 1 Siddiqui, Hina Al Fatima 1
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Generative AI for Web Engineering Models 21
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Machine Learning Models for Detecting Software Vulnerabilities
Shah, Imdad Ali; Jhanjhi, N. Z.; Brohi, Sarfraz Nawaz - In: Generative AI for Web Engineering Models, (pp. 1-40). 2024
Pay close attention to finding vulnerabilities and making secure software, we need to become less vulnerable. Vulnerable software always gives significant chances for hackers to inject malicious SQL code and interfere with its functionality. Security groups attempt to identify weaknesses in...
Persistent link: https://www.econbiz.de/10015536996
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The Internet of Things: An Intelligent and Secure Path Approach for Cyber Critical Infrastructure
Hussain, Imtiaz; Alansari, Zainab; Ebrahim, Mansoor - In: Generative AI for Web Engineering Models, (pp. 41-62). 2024
The logistics system is evolving in a more intelligent direction. Logistic planning and coordination of information management and software platforms are inextricably linked to the fulfilment of smart logistics. The logistics and transportation business are one of the critical application areas...
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Generative AI for Visualization
Jhanjhi, N. Z.; Shah, Imdad Ali; Nawaz, Sarfraz - In: Generative AI for Web Engineering Models, (pp. 63-82). 2024
The primary objective of this chapter is focused on improvement and helping Generative AI for visualization such as automating the design of visuals and making it easier to understand patterns, trends, and outliers. Recent advances in machine learning (ML) and artificial intelligence (AI) have...
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The Role of Artificial Intelligence in Risk Management: Practices of the Banking Sector
Naeem, Muhammad; Siraj, Muzzammil; Ali, Shoukat; … - In: Generative AI for Web Engineering Models, (pp. 83-106). 2024
This chapter investigates the role of artificial intelligence in risk management. The Pakistan population is selected for this research. This study used the simple random sampling technique and analyzed the 385 responses by using the five-point Likert scale questionnaire. This study applied...
Persistent link: https://www.econbiz.de/10015536999
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Unveiling the Potential of Generative Approaches in AI-Infused Web Development for Design, Testing, and Maintenance
Devadas, Raghavendra M; Hiremani, Vani; Gujjar J., Praveen - In: Generative AI for Web Engineering Models, (pp. 107-128). 2024
The digital landscape is witnessing the continuous evolution of our lived experiences, in which the cross-cutting domain of Generative Artificial Intelligence (AI) and web engineering models is emerging as a pivotal source of transformative innovation. This article seeks to identify the...
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Hardware Vulnerabilities: Taxonomy and Business Security Models
Jhanjhi, N. Z.; Shah, Imdad Ali; Brohi, Sarfraz Nawaz - In: Generative AI for Web Engineering Models, (pp. 129-146). 2024
The primary objective of this chapter is to address the hardware vulnerabilities risks and challenges. A hardware vulnerability is a flaw in a computer system that can be remotely exploited by threat actors. They can then infiltrate a network by introducing malicious code. Vulnerability...
Persistent link: https://www.econbiz.de/10015537001
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Does Artificial Intelligence With Blockchain Reduce the Costs of the Financial Sector?
Naeem, Muhammad; Khan, Aurangzeb; Rehman, Abdul; … - In: Generative AI for Web Engineering Models, (pp. 147-160). 2024
This chapter looks into does artificial intelligence (AI) and blockchain technology (BT) can save costs in finance assiduity? It seeks to identify inefficiencies, probe the functions of AI and blockchain, and give styles for perpetration. Data are collected from workers in the fiscal sector,...
Persistent link: https://www.econbiz.de/10015537002
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Harnessing Generative AI for Enhanced Web Application Security
Tariq, Muhammad Usman - In: Generative AI for Web Engineering Models, (pp. 161-192). 2024
This chapter explores the integration of Generative Artificial Intelligence (AI) in bolstering the security of Web applications. It delves into how AI-driven techniques can be employed to predict, detect, and mitigate security threats in real-time, thereby safeguarding Web-based systems from...
Persistent link: https://www.econbiz.de/10015537003
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Ethical Concerns in Artificial Intelligence (AI): The Role of Governance Mechanism in Finance
Naeem, Muhammad; Ali, Shoukat; Rehman, Abdul; Farooq, Sumair - In: Generative AI for Web Engineering Models, (pp. 193-202). 2024
Artificial intelligence and governance ideas are being implemented in business and society. These are two of the most explored issues in the current period. Banks and financial institutions nowadays collect vast volumes of client information, which is then processed by artificial intelligence;...
Persistent link: https://www.econbiz.de/10015537004
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The Challenges for E-Commerce Using AI Applications
Shah, Imdad Ali; Jhanjhi, N. Z. - In: Generative AI for Web Engineering Models, (pp. 203-222). 2024
The primary objective of this chapter is to exhaustive analysis of the constantly changing security and privacy issues and important factors in e-commerce. The need to protect sensitive data and guarantee user privacy has increased with the growth of the digital economy. This chapter examines...
Persistent link: https://www.econbiz.de/10015537005
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