Amjad Aldweesh

Organizations have turned to artificial intelligence methods to strengthen cybersecurity incident-response processes. Many existing protocols lack alignment between policy-based...

Cyber insurance faces challenges with data scarcity and privacy restrictions limiting analytical capabilities across institutional boundaries. Insurance providers struggle to...

Autonomous and digital systems have changed numerous industries, including healthcare, finance, and business. However, they are not exclusive to industries and have been used in...

Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure...

Financial institutions face dynamic threats that range from credit defaults to money laundering. Traditional risk management models struggle with large data and shifting market...

Cities now implement artificial intelligence to optimize public services. Policymakers face issues concerning data management, fairness, and oversight. This chapter examines how...

Urban settings in developing contexts face pressures arising from population growth, restricted resources, and evolving policy demands. Research insights from universities often...

Early warning and public warning systems exist to reduce harm in urban regions through timely alerts and coordinated actions. Officials often face challenges in converting...

This chapter investigates how Federated Learning (FL) can reshape cyber defense by enabling collaborative model training without consolidating sensitive data, thus safeguarding...

Collective intelligence and swarm AI have shaped recent explorations of distributed cybersecurity strategies. Many traditional approaches rely on centralized analytics or static...

Reinforcement Learning (RL) offers a process for creating cyber defense methods that adjust to changing threats. Through training an RL agent, defenders discover ways to block...

Smart cities integrate IoT devices, edge computing, and data analytics to enhance public services while creating new cyber vulnerabilities. This chapter proposes an autonomous...

Critical infrastructure, including power grids, water systems, and industrial control networks, supports essential societal functions. As cyber threats intensify, AI-driven...

Software applications have become indispensable across sectors, necessitating robust security throughout their lifecycle. This chapter examines transforming the Software...

This chapter explores the multifaceted cybersecurity threats emerging from the rapid proliferation of generative artificial intelligence systems. It examines how generative AI...

Machine learning techniques currently generate pictures, videos and audio which are called deepfake content that have become a threat to security, trust and privacy....

Synthetic content generation has transformed digital landscapes by enabling the rapid production of highly personalized and authentic-seeming text, audio, and video materials....

This chapter explores the emergent threat landscape posed by AI-generated malware and investigates the effectiveness of behavior-based analysis as a primary line of defense....

This chapter investigates how generative AI techniques transform offensive security. It explores automated methods that identify software flaws, generate targeted exploits, and...

This chapter addresses cybersecurity risks posed by generative AI in the metaverse, a convergence of virtual reality and real-time user interactions. By exploring deepfakes...

Academic institutions explore generative artificial intelligence for varied educational and research goals, yet they often operate with limited budgets and specialized personnel...

Generative artificial intelligence (AI) is reshaping supply chain security, providing innovative tools for risk management while introducing formidable new threats. This chapter...

This chapter examines the emerging landscape of threats posed by generative artificial intelligence (AI) technologies and outlines adaptive risk mitigation strategies designed to...

This chapter details how institutions craft policies for generative AI. It explores data rules, liability decisions, and compliance checks used by universities, city offices, and...

This paper proposes a blockchain-based framework to optimize energy supply chain management, delineating its potential to transform energy sourcing, allocation, and consumption...

Blockchain technology has emerged as a disruptive force across various industries, promising decentralization, transparency, and enhanced efficiency. In the energy sector...

In an era of escalating cyber threats that increasingly target critical infrastructure, there is growing urgency to protect operational technology (OT) systems in energy and...

The exponential growth of Internet of Things (IoT) devices has created unprecedented security and privacy challenges that traditional centralized architectures struggle to...

The reliability of modern power grids is vital for sustaining essential services,especially amid threats like natural disasters and cyberattacks. Blockchain technology offers a...

Blockchain technology has emerged as a transformative tool for enhancing accountability, transparency, and efficiency in e-government systems. This study explores the integration...

This chapter examines how Artificial Intelligence (AI) and blockchain converge in the context of Advanced Metering Infrastructure (AMI) within smart grids. It presents...

Societies worldwide are reshaping their energy infrastructures to address evolving sustainability targets, economic requirements, and regulatory goals. In this chapter, I examine...

Decentralized energy markets are transforming energy trading by leveraging blockchain to enhance transparency, efficiency, and resilience. These markets allow producers and...

Abstract This chapter examines how blockchain technology can advance energy management in smart buildings and urban areas. It analyzes the theoretical foundations of blockchain...

The energy sector faces expanding risks associated with Advanced Persistent Threats (APTs). These incidents pose challenges for securing power generation, distribution, and other...

This chapter explains how cyber threat intelligence (CTI) supports defenses against advanced persistent threats (APTs) that gain access to systems. It reviews the progression of...

Abstract This chapter delves into the human-centric dimension of cybersecurity, with particular emphasis on insider threats and the influence of organizational culture. The...

The advent of the fifth generation – 5G – mobile networks mean a revolution in telecommunication infrastructure that can be hardly limited to the higher bandwidth rates and less...

This chapter examines cybersecurity challenges that arise in startup-driven digital governance ecosystems. It explores how limited resources, rapid development cycles, and...

This chapter addresses how digital technologies and e-government approaches transform water resource management (WRM). Traditional governance methods, often slow and fragmented...

Machine learning has become ubiquitous across industries for its ability to uncover in- sights from data. This research explores the application of machine learning for...

The combination of artificial intelligence (AI) methods like machine learning with cryptography is essential for more intelligent and adaptable security measures. This chapter of...

This chapter explores the impact of quantum computing on cybersecurity, comparing classical and quantum techniques. It provides an overview of the current quantum landscape...

The generation and control of cryptographic keys are the most important things when it comes to the security and integrity of encrypted data. The traditional key generation...

Blockchain's decentralized trust models are spurring rapid advances in applied cryptography. This chapter explores the accelerating convergence between cryptographic...

This chapter analyzes the most sophisticated cryptography methods which are used to protect blockchain-based cryptocurrency transactions against attacks by botnets. First, a...

This chapter aims to determine the role of cryptography in the provision of secure applications of business intelligence and data analytics. Through this, the legal implications...

Machine learning models rely on sensitive personal data, creating tension between utility and privacy. Privacy-preserving machine learning aims to enable secure data analysis...

The proliferation of Internet of Things (IoT) devices has revolutionized many industries and daily life, however these resource-constrained devices also present significant...

Blockchain technology and the metaverse are revolutionizing digital experiences by merging secure, cryptographic systems with shared virtual spaces. These advancements have...

Cost estimation for software development is crucial for project planning and management. Several regression models have been developed to predict software development costs...

The impending exhaustion of internet protocol (IP) version four (IPv4) addresses necessitates a transition to the more expansive IP version six (IPv6) protocol. However, this...

Integrating virtual reality (VR) and augmented reality (AR) technology into online stores enables more immersive and engaging shopping experiences, which is crucial for...