Artificial Intelligence and Cybersecurity / Natalie Fisher

Public ISBD Titre : Artificial Intelligence and Cybersecurity Type de document : texte imprimé Auteurs : Natalie Fisher, Auteur Editeur : 3G E-LEARNING Année de publication : 2025 ISBN/ISSN/EAN : 978-1-984694-63-8 Langues : Anglais (eng) Langues originales : Anglais (eng) Résumé : Artificial Intelligence (AI) refers to the application of intelligent algorithms and machine learning techniques to enhance the detection, prevention, and response to cyber threats. AI empowers cybersecurity systems to analyze vast amounts of data, identify patterns, and make informed decisions, at speeds and scales beyond human capabilities. The role of AI in bolstering security measures is multifaceted. It can automate routine tasks such as log analysis and vulnerability scanning, freeing up human analysts to focus on more complex and strategic activities. AI in cybersecurity plays a crucial role in threat detection. AI-powered systems can detect threats in real-time, enabling rapid response and mitigation. Moreover, AI can adapt and evolve, continuously learning from new data and improving its ability to identify and counter emerging threats. AI in cybersecurity revolutionizes threat detection, automates responses, and strengthens vulnerability management. As threats grow more sophisticated, adopting stronger cyber security preparedness ensures organizations can respond faster and minimize potential impact. By analyzing behaviors, detecting phishing, and adapting to new threats, AI enhances cybersecurity strategies, enabling proactive defense and safeguarding sensitive data. How Can AI Help Prevent Cyberattacks? AI in cybersecurity reinforces cyber threat intelligence, enabling security professionals to: Search for Characteristics of Cyberattacks: AI analyzes massive volumes of data to identify patterns and indicators of compromise. Understanding how neural networks work also strengthens this analysis by helping AI models detect subtle anomalies that may signal early stages of an attack. This approach helps security teams identify suspicious network behavior, unusual login attempts, and abnormal traffic from IoT devices or endpoints in real-time. Strengthen Defenses: AI can help security teams isolate compromised devices, block malicious traffic, and stop malware by continuously monitoring systems. Besides, it predicts high-risk areas where breaches are most likely, allowing organizations to proactively address vulnerabilities before they raise serious concerns. Analyze Data to Authenticate Users: AI tools can help security teams analyze user authentication data, such as fingerprints, typing styles, and voice patterns. Besides, they can monitor user behavior during sessions, detecting anomalies and triggering additional verification when needed. Attribute Attacks to Specific Threat Actors: AI can analyze tools used, IP addresses, and behavioral patterns and link incidents to known threat actors. This makes it easy for security teams to understand and identify specific threat groups. Enhance Phishing and Spam Detection: AI helps scan email links, attachments, and messages, blocking phishing and spam attempts before they escalate. Support Collaborative Threat Intelligence Sharing: AI enables organizations to contribute to and benefit from shared knowledge within security communities, improving collective resilience against evolving AI-driven threats. Artificial Intelligence and Cybersecurity [texte imprimé] / Natalie Fisher, Auteur . - USA : 3G E-LEARNING, 2025. ISBN : 978-1-984694-63-8 Langues : Anglais (eng) Langues originales : Anglais (eng) Résumé : Artificial Intelligence (AI) refers to the application of intelligent algorithms and machine learning techniques to enhance the detection, prevention, and response to cyber threats. AI empowers cybersecurity systems to analyze vast amounts of data, identify patterns, and make informed decisions, at speeds and scales beyond human capabilities. The role of AI in bolstering security measures is multifaceted. It can automate routine tasks such as log analysis and vulnerability scanning, freeing up human analysts to focus on more complex and strategic activities. AI in cybersecurity plays a crucial role in threat detection. AI-powered systems can detect threats in real-time, enabling rapid response and mitigation. Moreover, AI can adapt and evolve, continuously learning from new data and improving its ability to identify and counter emerging threats. AI in cybersecurity revolutionizes threat detection, automates responses, and strengthens vulnerability management. As threats grow more sophisticated, adopting stronger cyber security preparedness ensures organizations can respond faster and minimize potential impact. By analyzing behaviors, detecting phishing, and adapting to new threats, AI enhances cybersecurity strategies, enabling proactive defense and safeguarding sensitive data. How Can AI Help Prevent Cyberattacks? AI in cybersecurity reinforces cyber threat intelligence, enabling security professionals to: Search for Characteristics of Cyberattacks: AI analyzes massive volumes of data to identify patterns and indicators of compromise. Understanding how neural networks work also strengthens this analysis by helping AI models detect subtle anomalies that may signal early stages of an attack. This approach helps security teams identify suspicious network behavior, unusual login attempts, and abnormal traffic from IoT devices or endpoints in real-time. Strengthen Defenses: AI can help security teams isolate compromised devices, block malicious traffic, and stop malware by continuously monitoring systems. Besides, it predicts high-risk areas where breaches are most likely, allowing organizations to proactively address vulnerabilities before they raise serious concerns. Analyze Data to Authenticate Users: AI tools can help security teams analyze user authentication data, such as fingerprints, typing styles, and voice patterns. Besides, they can monitor user behavior during sessions, detecting anomalies and triggering additional verification when needed. Attribute Attacks to Specific Threat Actors: AI can analyze tools used, IP addresses, and behavioral patterns and link incidents to known threat actors. This makes it easy for security teams to understand and identify specific threat groups. Enhance Phishing and Spam Detection: AI helps scan email links, attachments, and messages, blocking phishing and spam attempts before they escalate. Support Collaborative Threat Intelligence Sharing: AI enables organizations to contribute to and benefit from shared knowledge within security communities, improving collective resilience against evolving AI-driven threats.

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Artificial Intelligence and Deep Learning / Graham Parker

Public ISBD Titre : Artificial Intelligence and Deep Learning Type de document : texte imprimé Auteurs : Graham Parker, Auteur Editeur : 3G E-LEARNING Année de publication : 2025 Importance : 282P Présentation : COUV-VUG.INDEX Format : 25.5X18CM ISBN/ISSN/EAN : 978-1-984695-26-0 Langues : Anglais (eng) Langues originales : Anglais (eng) Mots-clés : ARTIFICIAL INTELLEGENCE Résumé : Focuses on the principles and techniques of artificial intelligence (AI) and deep learning, including neural networks and advanced algorithms. Discusses the application of AI and deep learning in fields such as computer vision, natural language processing, and autonomous systems. Highlights the impact of these technologies on innovation and automation across various industries. Exemplaires (3)Focuses on the principles and techniques of artificial intelligence (AI) and deep learning, including neural networks and advanced algorithms. Discusses the application of AI and deep learning in fields such as computer vision, natural language processing, and autonomous systems. Highlights the impact of these technologies on innovation and automation across various industries.Graham Parker, PhD, is an AI researcher specializing in deep learning models and neural network architectures. His research explores applications of deep learning in areas such as image recognition, natural language processing, and autonomous systems. Parker has published on advancements in AI and deep learning algorithms, and he collaborates with tech companies to integrate these models into practical applications. Known for his pioneering work, Parker's research contributes significantly to the development of AI capabilities. Artificial Intelligence and Deep Learning [texte imprimé] / Graham Parker, Auteur . - USA : 3G E-LEARNING, 2025 . - 282P : COUV-VUG.INDEX ; 25.5X18CM. ISBN : 978-1-984695-26-0 Langues : Anglais (eng) Langues originales : Anglais (eng) Mots-clés : ARTIFICIAL INTELLEGENCE Résumé : Focuses on the principles and techniques of artificial intelligence (AI) and deep learning, including neural networks and advanced algorithms. Discusses the application of AI and deep learning in fields such as computer vision, natural language processing, and autonomous systems. Highlights the impact of these technologies on innovation and automation across various industries. Exemplaires (3)Focuses on the principles and techniques of artificial intelligence (AI) and deep learning, including neural networks and advanced algorithms. Discusses the application of AI and deep learning in fields such as computer vision, natural language processing, and autonomous systems. Highlights the impact of these technologies on innovation and automation across various industries.Graham Parker, PhD, is an AI researcher specializing in deep learning models and neural network architectures. His research explores applications of deep learning in areas such as image recognition, natural language processing, and autonomous systems. Parker has published on advancements in AI and deep learning algorithms, and he collaborates with tech companies to integrate these models into practical applications. Known for his pioneering work, Parker's research contributes significantly to the development of AI capabilities.

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Blockchain Technology and Its Applications / Abigail Murphy

Public ISBD Titre : Blockchain Technology and Its Applications Type de document : texte imprimé Auteurs : Abigail Murphy, Auteur Editeur : 3G E-LEARNING Année de publication : 2025 Importance : 255p Présentation : couv.ill.vug.index Format : 25.5x18cm ISBN/ISSN/EAN : 978-1-984695-25-3 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : Techniques:Informatique Résumé : Explores the fundamentals of blockchain technology, including decentralized ledgers, smart contracts, and consensus mechanisms. Discusses various applications of blockchain beyond cryptocurrencies, such as supply chain management, voting systems, and digital identity. Highlights the potential of blockchain to transform industries by enhancing transparency, security, and efficiency. Abigail Murphy, MSc, is a blockchain technology expert with a focus on decentralized applications, cryptocurrency, and smart contracts. Her research covers the technical and practical applications of blockchain across finance, supply chain, and digital identity verification. Murphy has published on blockchain innovations and provides training on implementing blockchain solutions. Known for her expertise, Murphy's work is essential for understanding the potential of blockchain technology in modern industries. Blockchain Technology and Its Applications [texte imprimé] / Abigail Murphy, Auteur . - USA : 3G E-LEARNING, 2025 . - 255p : couv.ill.vug.index ; 25.5x18cm. ISBN : 978-1-984695-25-3 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : Techniques:Informatique Résumé : Explores the fundamentals of blockchain technology, including decentralized ledgers, smart contracts, and consensus mechanisms. Discusses various applications of blockchain beyond cryptocurrencies, such as supply chain management, voting systems, and digital identity. Highlights the potential of blockchain to transform industries by enhancing transparency, security, and efficiency. Abigail Murphy, MSc, is a blockchain technology expert with a focus on decentralized applications, cryptocurrency, and smart contracts. Her research covers the technical and practical applications of blockchain across finance, supply chain, and digital identity verification. Murphy has published on blockchain innovations and provides training on implementing blockchain solutions. Known for her expertise, Murphy's work is essential for understanding the potential of blockchain technology in modern industries.

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Chemical Bonding and Structure / Hudson Green

Public ISBD Titre : Chemical Bonding and Structure Type de document : texte imprimé Auteurs : Hudson Green, Auteur Editeur : 3G E-LEARNING Année de publication : 2025 Importance : 258p Présentation : figures Format : 25.5x17.5cm ISBN/ISSN/EAN : 978-1-984695-82-6 Note générale : Explores the principles of chemical bonding and molecular structure, including covalent, ionic, and metallic bonds. Discusses methods for determining and predicting molecular geometry and properties. Highlights the importance of chemical bonding in understanding material properties and chemical reactions. Langues : Anglais (eng) Mots-clés : chemical,structure Index. décimale : 541 Chimie physique et théorique Chemical Bonding and Structure [texte imprimé] / Hudson Green, Auteur . - USA : 3G E-LEARNING, 2025 . - 258p : figures ; 25.5x17.5cm. ISBN : 978-1-984695-82-6 Explores the principles of chemical bonding and molecular structure, including covalent, ionic, and metallic bonds. Discusses methods for determining and predicting molecular geometry and properties. Highlights the importance of chemical bonding in understanding material properties and chemical reactions. Langues : Anglais (eng) Mots-clés : chemical,structure Index. décimale : 541 Chimie physique et théorique

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Chemical Thermodynamics and Equilibrium / Isabelle Morgan

Public ISBD Titre : Chemical Thermodynamics and Equilibrium Type de document : texte imprimé Auteurs : Isabelle Morgan, Auteur Editeur : 3G E-LEARNING Année de publication : 2025 Importance : 256p Présentation : figure Format : 25.5x17.5cm ISBN/ISSN/EAN : 978-1-984695-19-2 Note générale : Focuses on the principles of chemical thermodynamics, including the study of energy changes and equilibrium in chemical reactions. Discusses key concepts such as enthalpy, entropy, and Gibbs free energy in predicting reaction behavior and system stability. Provides practical applications in understanding and controlling chemical processes in industries like pharmaceuticals and petrochemicals. Langues : Anglais (eng) Mots-clés : thermodynamics,equilibrium Index. décimale : 541 Chimie physique et théorique Chemical Thermodynamics and Equilibrium [texte imprimé] / Isabelle Morgan, Auteur . - USA : 3G E-LEARNING, 2025 . - 256p : figure ; 25.5x17.5cm. ISBN : 978-1-984695-19-2 Focuses on the principles of chemical thermodynamics, including the study of energy changes and equilibrium in chemical reactions. Discusses key concepts such as enthalpy, entropy, and Gibbs free energy in predicting reaction behavior and system stability. Provides practical applications in understanding and controlling chemical processes in industries like pharmaceuticals and petrochemicals. Langues : Anglais (eng) Mots-clés : thermodynamics,equilibrium Index. décimale : 541 Chimie physique et théorique

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Optics and Photonics / Bryce Scott

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