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  • AI-Driven Cybersecurity Techniques, Systems, and Resilience

    As cyber threats increase, AI strengthens cybersecurity defenses and enhances organizational resilience. AI-driven cybersecurity techniques leverage machine learning, predictive analytics, and automated threat detection to identify vulnerabilities, detect malicious activities, and respond to security incidents. These advanced systems enable organizations to protect critical digital assets, reduce ... Leer más

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  • Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

    APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTIONComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art ... Leer más

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  • Protecting and Mitigating Against Cyber Threats

    Deploying Artificial Intelligence and Machine Learning

    The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats.Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security ... Leer más

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  • Cognitive Cyber Crimes in the Era of Artificial Intelligence

    Protect your organization from next-generation threats with this comprehensive analysis of cognitive cybercrimes, addressing future legal, ethical, and policy challenges in the age of AI.Cognitive Cyber Crimes in the Era of Artificial Intelligence explores the emerging dimension of cybercrime where artificial intelligence, neuroscience, and cryptography intersect. It introduces the concept of ... Leer más

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  • Utilizing AI in Network and Mobile Security for Threat Detection and Prevention

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    Artificial intelligence (AI) revolutionizes how organizations protect their digital information against cyber threats. Traditional security methods are often insufficient when faced with sophisticated attacks. AI-powered systems utilize machine learning, deep learning, and advanced analytics to detect patterns, identify anomalies, and predict potential threats in real time. By analyzing network ... Leer más

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  • Risk Assessment and Countermeasures for Cybersecurity

    The relentless growth of cyber threats poses an escalating challenge to our global community. The current landscape of cyber threats demands a proactive approach to cybersecurity, as the consequences of lapses in digital defense reverberate across industries and societies. From data breaches to sophisticated malware attacks, the vulnerabilities in our interconnected systems are glaring. As we ... Leer más

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  • Safe Data-Driven Control for Cyber-Physical Systems

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  • Examining Vulnerabilities and Adversarial Exploitation of AI and LLMs

    Edición de Puya Pakshad, Marwan Omar ...
    As AI systems and large language models (LLMs) become integrated into decision-making, communication, and automation workflows, their security becomes a pressing concern. Despite their performance, these models have vulnerabilities that can be exploited through adversarial techniques like prompt manipulation, data exploitation, and cyber-attacks. These exploits undermine system reliability while ... Leer más

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  • Mobile Web and Intelligent Information Systems

    21st International Conference, MobiWIS 2025, Istanbul, Türkiye, August 11–13, 2025, Proceedings

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    This book constitutes the refereed proceedings of the 21st International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2025, held in Istanbul, Türkiye, during August 11–13, 2025.The 23 full papers and one short paper included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Mobile Web and Enterprises, ... Leer más

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  • Machine Learning and Cryptographic Solutions for Data Protection and Network Security

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  • Advanced Cyber Security Techniques for Data, Blockchain, IoT, and Network Protection

    In a world where cyber threats are becoming increasingly sophisticated, the need for robust protection of our digital assets has never been more crucial. As blockchain, IoT, and network infrastructures technologies expand, so do new avenues for exploitation by malicious actors. Protecting sensitive data and ensuring the integrity of digital communications are paramount in safeguarding personal ... Leer más

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  • Cybersecurity Risks in Organizational Digital Transformation and AI Infrastructure

    As organizations accelerate digital transformation and integrate AI-driven infrastructure into their operations, they expand their exposure to complex cybersecurity risks. The adoption of cloud computing, interconnected systems, and AI models increases the attack surface, making sensitive information and critical processes more vulnerable to breaches, ransomware, and manipulation. AI systems ... Leer más

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