Share

The Unforeseen Threat of AI on Security

Download The Unforeseen Threat of AI on Security PDF Online Free

Author :
Release : 2023-09-26
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis The Unforeseen Threat of AI on Security by : Emmanuel Joseph

Download or read book The Unforeseen Threat of AI on Security written by Emmanuel Joseph. This book was released on 2023-09-26. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly evolving digital landscape, the convergence of artificial intelligence (AI) and security presents both unprecedented opportunities and unforeseen challenges. "The Unforeseen Threat of AI on Security" delves deep into the complex and dynamic relationship between AI and cybersecurity, offering a comprehensive exploration of the critical issues that define this technological frontier. As AI continues to reshape the world, it simultaneously empowers cyber adversaries with unprecedented capabilities. This book navigates through the shadowy world of AI-driven threats, unveiling the dark side of machine learning, autonomous cyberattacks, and state-sponsored espionage. Through real-world case studies, it reveals the tangible consequences of AI infiltrating the security realm, from crippling ransomware attacks to sophisticated deepfake-driven scams. Amidst these challenges, "The Unforeseen Threat of AI on Security" also illuminates the defensive power of AI. It explores cutting-edge AI security technologies, from predictive threat intelligence to autonomous incident response, showcasing how AI is becoming a vital ally in the fight against evolving cyber threats. Furthermore, it dissects the evolving dynamics of human-machine collaboration in security, highlighting the pivotal role that humans play alongside AI in safeguarding digital ecosystems. Ethical considerations are woven throughout the narrative, as the book addresses the profound ethical dilemmas posed by AI in security, from privacy and bias to transparency and accountability. It delves into the evolving governance and policy frameworks that govern AI security practices, emphasizing the need for responsible and lawful AI deployment. Looking ahead, "The Unforeseen Threat of AI on Security" anticipates future trends in AI security, offering insights into AI-generated malware, quantum computing's impact on encryption, deepfake attacks, and the evolving role of AI in national security. This book is a must-read for cybersecurity professionals, policymakers, technologists, and anyone interested in the transformative power of AI in both shaping and safeguarding our digital future. It serves as a vital guide for navigating the intricate landscape of AI and security, where innovation and defense intersect, and where the unforeseen threats of AI are met with resilience, vigilance, and ethical responsibility.

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

Download AI-Enabled Threat Detection and Security Analysis for Industrial IoT PDF Online Free

Author :
Release : 2021-08-03
Genre : Computers
Kind : eBook
Book Rating : 136/5 ( reviews)

GET EBOOK


Book Synopsis AI-Enabled Threat Detection and Security Analysis for Industrial IoT by : Hadis Karimipour

Download or read book AI-Enabled Threat Detection and Security Analysis for Industrial IoT written by Hadis Karimipour. This book was released on 2021-08-03. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.

Artificial Intelligence for Security

Download Artificial Intelligence for Security PDF Online Free

Author :
Release :
Genre :
Kind : eBook
Book Rating : 524/5 ( reviews)

GET EBOOK


Book Synopsis Artificial Intelligence for Security by : Tuomo Sipola

Download or read book Artificial Intelligence for Security written by Tuomo Sipola. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Download Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance PDF Online Free

Author :
Release : 2021-10-22
Genre : Business & Economics
Kind : eBook
Book Rating : 953/5 ( reviews)

GET EBOOK


Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa. This book was released on 2021-10-22. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

AI in Cybersecurity

Download AI in Cybersecurity PDF Online Free

Author :
Release : 2018-09-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 425/5 ( reviews)

GET EBOOK


Book Synopsis AI in Cybersecurity by : Leslie F. Sikos

Download or read book AI in Cybersecurity written by Leslie F. Sikos. This book was released on 2018-09-17. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...