Leveraging Large Language Models For Quantum Aware Cybersecurity
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Leveraging Large Language Models For Quantum Aware Cybersecurity
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2024-12-26
Leveraging Large Language Models For Quantum Aware Cybersecurity written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
As the digital landscape evolves, the growing threat of cyberattacks has prompted the need for more advanced security measures. One of the most promising developments in cybersecurity is the integration of large language models (LLMs) with quantum-aware systems. These AI-powered models, capable of processing data and recognizing complex patterns, play a pivotal role in identifying vulnerabilities, predicting threats, and enhancing the resilience of security infrastructures. In quantum computing, LLMs offer new opportunities to stay ahead of cyber threats by simulating attack strategies and developing adaptive defense mechanisms. By harnessing the power of these tools, cybersecurity professionals can address current challenges while preparing for an era of quantum-enabled cyber threats. Leveraging Large Language Models for Quantum-Aware Cybersecurity explores the convergence of LLMs, cybersecurity, and quantum computing, providing an in-depth analysis of how these fields are being integrated to tackle emerging challenges in the digital security landscape. It covers foundational concepts, cutting-edge research, and practical applications, demonstrating how LLMs can be leveraged alongside quantum technologies to enhance threat detection, automate incident response, and build quantum-resilient security frameworks. This book covers topics such as artificial intelligence, computer engineering, natural language processing, and is a useful resource for computer engineers, security professionals, scientists, academicians, and researchers.
Revolutionizing Cybersecurity With Deep Learning And Large Language Models
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Revolutionizing Cybersecurity With Deep Learning And Large Language Models written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.
Ensuring Secure And Ethical Stm Research In The Ai Era
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-05-14
Ensuring Secure And Ethical Stm Research In The Ai Era written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Science categories.
As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.
Navigating Law And Policy In Stm Enterprises Ethical Governance Regulation And Innovation Strategy
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Navigating Law And Policy In Stm Enterprises Ethical Governance Regulation And Innovation Strategy written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Business & Economics categories.
To understand the world of Science, Technology, and Medicine (STM) enterprises, it is essential to navigate the complex landscape of law and policy. STM sectors often outpace existing legal frameworks and policies raising unique challenges related to intellectual property, data privacy, and ethical considerations. As STM enterprises develop groundbreaking products and services, understanding and adapting to evolving legal and policy environments becomes essential for sustainable growth, risk management, and public trust. This intersection of law, policy, and technological advancement demands strategic foresight and informed decision-making to ensure responsible and lawful innovation. Navigating Law and Policy in STM Enterprises: Ethical Governance, Regulation, and Innovation Strategy explores the legal and policy landscape that surrounds STM firms and the legal challenges they face. It shows a strategic roadmap of reducing litigation risk while preserving competitive agility. Covering topics such as law, policies, and STM, this book is an excellent resource for STM executives, in-house counsel, compliance officers, policy analysts, researchers, academicians, and more.
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning
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Author : Ul Rehman, Shafiq
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning written by Ul Rehman, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. Ongoing research and cross-sector collaboration are essential to develop robust, ethical, and secure machine learning systems. Further research may reveal better solutions to converge cyber technology, security, and machine learning tools. Challenges and Solutions for Cybersecurity and Adversarial Machine Learning explores adversarial machine learning and deep learning within cybersecurity. It examines foundational knowledge, highlights vulnerabilities and threats, and proposes cutting-edge solutions to counteract adversarial attacks on AI systems. This book covers topics such as data privacy, federated learning, and threat detection, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.
Multidisciplinary Applications Of Ai And Quantum Networking
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Author : Ananth, Christo
language : en
Publisher: IGI Global
Release Date : 2024-10-17
Multidisciplinary Applications Of Ai And Quantum Networking written by Ananth, Christo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.
The multidisciplinary applications of artificial intelligence (AI) and quantum networking drive transformations across various fields, providing new technology, scientific discoveries, and industry improvements. AI's capability to analyze and interpret data along with quantum networking's secure communication, enables breakthroughs in sectors such as healthcare, finance, and logistics. Continued research into this integration may offer opportunities for innovative models and simulations, improved decision-making, and the development of interdisciplinary collaboration. Multidisciplinary Applications of AI and Quantum Networking explores the application of artificial intelligence and quantum computing across multiple industries, disciplines, and sectors. A variety of intelligent tools and technologies like machine learning, networks, augmented and virtual technology, and artificial intelligence are examined for their usefulness in business, medicine, engineering, marketing, and infrastructure. This book covers topics such as quantum computing, intrusion detection, and web technologies, and is a useful resource for computer engineers, business owners, security professionals, researchers, scientists, and academicians.
Digital Business Models
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Author : Adam Jabłoński
language : en
Publisher: Taylor & Francis
Release Date : 2020-10-11
Digital Business Models written by Adam Jabłoński and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-11 with Business & Economics categories.
By presenting the conditions, methods and techniques of monetisation of business models in the digital economy, this book combines implementation of the theoretical aspects of monetisation with the presentation of practical business solutions in this field. The scope of the book includes the relationship between the monetisation and scalability degree of business models. The book describes the place and role of the digital business ecosystem in the process of digital transformation. It demonstrates ideological and functional conditions for the use of the concept of sharing to design innovative business models while also presenting a multi-dimensional approach to the use of Big Data and their monetisation in the context of business models. Digital Business Models shows the place and role of ecological and social factors in building digital business models that are part of the concept of the circular economy and presents the contemporary conditions of a sustainability concept that meets the ethical challenges of doing digital business. It demonstrates how important the social factors of business model design and the creation of social value are in modern business and demonstrates. The book explores the servitisation of digital business models using digital technologies and features case studies on the effective solutions of business models that use servitisation as a factor supporting the monetisation of business models. Written for scholars exploring the efficiency and effectiveness of business models related to contemporary concepts – Sharing Economy, Circular Economy, Network Economy, Big Data, so on – and those designing business models taking into account social aspects, it will also be of direct interest to entrepreneurship courses.
Recent Advances In Computing Sciences
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Author : Manmohan Sharma
language : en
Publisher: CRC Press
Release Date : 2025-01-27
Recent Advances In Computing Sciences written by Manmohan Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.
Cyber Threat Intelligence
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Author : Ali Dehghantanha
language : en
Publisher: Springer
Release Date : 2018-04-27
Cyber Threat Intelligence written by Ali Dehghantanha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.
This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
Ai In Cybersecurity
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2018-09-27
Ai In Cybersecurity written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Technology & Engineering categories.
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.