Ai Malicious Actors
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Ai Malicious Actors
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Author : Abebe-Bard Ai Woldemariam
language : en
Publisher: Woldemariam
Release Date : 2024-02-10
Ai Malicious Actors written by Abebe-Bard Ai Woldemariam and has been published by Woldemariam this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-10 with Computers categories.
AI Malicious Actors: The Dark Side of Artificial Intelligence Are you concerned about the potential misuse of AI? Conversational Chat Informative Book By Abebe-Bard AI Woldemariam This book, AI Malicious Actors: The Dark Side of Artificial Intelligence, dives deep into the growing threat posed by individuals and organizations using AI for harmful purposes. As AI technology continues to evolve, its potential for both good and evil expands. This conversational and informative book explores: The rise of AI malicious actors: Who are they, and what dangers do they pose? AI-powered cyberattacks: Learn about the latest threats and how they exploit vulnerabilities. Deepfakes and synthetic media: How are these technologies used to manipulate reality? Autonomous systems and AI: What are the potential risks associated with AI in self-driving cars and other automated technologies? Social engineering and fraud: How are AI tools used to deceive and steal? Underground marketplaces for AI malice: Where do malicious actors get their tools? Combating the threat: Explore strategies for regulation, ethical considerations, and best practices. Packed with case studies, essays, research, and real-world examples, this book provides a comprehensive and informative overview of AI malicious actors. You'll gain a deeper understanding of the dangers and learn how we can work together to ensure AI is used for good. Order your copy today and explore the dark side of AI. Bonus: Dedication to Merab Abebe, a testament to the belief in AI's positive potential. Disclaimer: Information may not always be accurate or reflect Google's
Ai In The Age Of Cyber Disorder
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Author : Fabio Rugge
language : en
Publisher: Ledizioni
Release Date : 2020-12-15
Ai In The Age Of Cyber Disorder written by Fabio Rugge and has been published by Ledizioni this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.
The rise of Artificial Intelligence applications is accelerating the pace and magnitude of the political, securitarian, and ethical challenges we are now struggling to manage in cyberspace and beyond. So far, the relationship between Artificial Intelligence and cyberspace has been investigated mostly in terms of the effects that AI could have on the digital domain, and thus on our societies. What has been explored less is the opposite relationship, namely, how the cyberspace geopolitics can affect AI. Yet, AI applications have so far suffered from growing unrest, disorder, and lack of normative solutions in cyberspace. As such, from algorithm biases, to surveillance and offensive applications, AI could accelerate multiple growing threats and challenges in and through cyberspace. This report by ISPI and The Brookings Institution is an effort to shed light on this less studied, but extremely relevant, relationship.
The Palgrave Handbook Of Malicious Use Of Ai And Psychological Security
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Author : Evgeny Pashentsev
language : en
Publisher: Springer Nature
Release Date : 2023-06-09
The Palgrave Handbook Of Malicious Use Of Ai And Psychological Security written by Evgeny Pashentsev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-09 with Political Science categories.
This handbook focuses on new threats to psychological security that are posed by the malicious use of AI and how it can be used to counteract such threats. Studies on the malicious use of AI through deepfakes, agenda setting, sentiment analysis and affective computing and so forth, provide a visual representation of the various forms and methods of malicious influence on the human psyche, and through this on the political, economic, cultural processes, the activities of state and non-state institutions. Separate chapters examine the malicious use of AI in geopolitical confrontation, political campaigns, strategic deception, damage to corporate reputation, and activities of extremist and terrorist organizations. This is a unique volume that brings together a multidisciplinary range of established scholars and upcoming new researchers from 11 countries. This handbook is an invaluable resource for students, researchers, and professionals interested in this new and developing field of social practice and knowledge.
Machine Learning For Cyber Agents
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Author : Stanislav Abaimov
language : en
Publisher: Springer Nature
Release Date : 2022-01-27
Machine Learning For Cyber Agents written by Stanislav Abaimov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Computers categories.
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.
The Future Of Cybersecurity And Ai
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Author : Joshua McCarthy
language : en
Publisher: Independently Published
Release Date : 2023-09-24
The Future Of Cybersecurity And Ai written by Joshua McCarthy and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-24 with categories.
As we move deeper into the era of artificial intelligence, we face a new threat - the possibility of an AI takeover. While many see the potential for technological advancements to improve our lives, the risks of such developments cannot be ignored. The dangers posed by AI are far-reaching, and one of the most significant risks lies in the access it provides to sensitive and dangerous information. AI overlords: from weapons to malware, the risks are great, delves into the risks of using AI technology for malicious purposes. With the increasing sophistication of chatbots and other AI-powered software, hackers and criminals can use these tools to gain access to almost anything - from malware to dangerous new explosives to refining radioactive materials. This book examines how AI has become a double-edged sword, enabling us to achieve feats once thought impossible, while also opening doors to new and more devastating dangers. Through various case studies, we explore how AI technology can be harnessed for nefarious purposes, from the development of deadly new viruses to the infiltration of government servers. AI technology has made it easier than ever to manipulate and exploit vulnerable systems. With chatbots and other AI-powered tools, malicious actors can circumvent traditional security measures and access sensitive information with ease. This book explains the risks posed by this technology and provides a sobering warning about the potential consequences of unchecked technological advancements. In the coming years, AI technology will continue to play a significant role in our lives, shaping the way we live, work, and interact with one another. As we embrace these new technological advancements, we must also be mindful of the risks they pose. AI overlords: from weapons to malware, the risks are great, is a critical examination of these risks and an urgent call to action to ensure that we use AI technology for good and not for ill.
Artificial Intelligence For Cybersecurity
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Author : Rosey Press
language : en
Publisher: Independently Published
Release Date : 2024-05-30
Artificial Intelligence For Cybersecurity written by Rosey Press and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
In recent years, artificial intelligence (AI) has become a game-changer in the field of cybersecurity. This subchapter provides an overview of how AI is revolutionizing the way security professionals defend against cyber threats. By harnessing the power of AI, security professionals can enhance their threat detection and prevention capabilities, streamline incident response and remediation processes, and improve security analytics and monitoring. One of the key benefits of AI in cybersecurity is its ability to power advanced threat detection and prevention systems. AI algorithms can analyze vast amounts of data in real-time to identify patterns and anomalies that may indicate a potential security threat. By leveraging AI-powered threat detection solutions, security professionals can stay one step ahead of cyber attackers and proactively defend their digital assets. In addition to threat detection, AI is also transforming incident response and remediation efforts. AI-driven incident response systems can automatically detect and contain security incidents, minimizing the impact of cyber attacks and reducing response times. By automating repetitive tasks and providing real-time insights, AI enables security professionals to respond to security incidents more effectively and efficiently. Furthermore, AI-based security analytics and monitoring tools are helping security professionals gain deeper insights into their organization's security posture. By analyzing data from multiple sources and correlating information in real-time, AI-powered security analytics platforms can identify potential vulnerabilities and threats before they escalate into full-blown security incidents. This proactive approach to security monitoring enables organizations to strengthen their defenses and mitigate risks more effectively. Moreover, AI is playing a crucial role in malware detection and removal. AI algorithms can analyze the behavior of malware samples and identify malicious code patterns, enabling security professionals to quickly detect and remove threats from their systems. By leveraging AI for malware detection and removal, organizations can minimize the impact of malware attacks and protect their sensitive data from unauthorized access. In conclusion, AI is reshaping the landscape of cybersecurity by empowering security professionals with advanced tools and technologies to defend against evolving cyber threats. From network security and intrusion detection to phishing prevention and security compliance, AI is driving innovation across all areas of cybersecurity. By embracing AI-powered solutions, security professionals can enhance their security posture, improve incident response capabilities, and protect their organization's digital assets from malicious actors.
Analysis On Ai Method For Detecting Dns Cache Poisoning Attack
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Author : Binchen Fang
language : en
Publisher:
Release Date : 2023
Analysis On Ai Method For Detecting Dns Cache Poisoning Attack written by Binchen Fang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The Domain Name System (DNS) plays an important role in the proper functioning of the internet. It can translate human-readable domain names to machine-readable IP addresses. However, it is vulnerable to several types of cyberattacks, with the domain name system cache poisoning being the most harmful one. Traditional detection methods are often unable to identify the nuanced behaviors of cache poisoning, especially with evolving techniques adopted by malicious actors. By using artificial intelligence, filtering malicious domain name system responses becomes much more possible. This paper will present a comprehensive analysis and interpretation of the Artificial Intelligence-based method that is used to detect domain name system cache poisoning attacks. By using different explainable artificial intelligence(XAI) tools to analyze the AI model and understand how different tools explain the interpretation of the AI model differently.
Superintelligence On The Horizon
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Author : Felipe Chavarro Polanía
language : en
Publisher: Felipe chavarro
Release Date : 2024-05-17
Superintelligence On The Horizon written by Felipe Chavarro Polanía and has been published by Felipe chavarro this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Computers categories.
As we stand at the precipice of an era marked by unprecedented technological advancement, the emergence of superintelligent AI systems heralds both transformative opportunities and profound risks for the future of humanity. In "Superintelligence on the Horizon: Navigating the Future of AI Governance and Cybersecurity," Felipe Chavarro Polanía offers a comprehensive and thought-provoking exploration of the complex challenges and possibilities that lie ahead. With a keen eye for detail and a deep understanding of the technical, ethical, and societal implications of superintelligent AI, Polanía guides readers through the intricate landscape of AI governance and cybersecurity. From the potential risks of AI-powered cyberattacks and the need for proactive defensive measures, to the critical importance of developing adaptive legal frameworks and fostering public trust, this book provides a nuanced and multifaceted analysis of the key issues at stake. But "Superintelligence on the Horizon" is more than just a technical treatise. It is a clarion call for a new approach to AI governance – one that prioritizes transparency, accountability, and the active participation of a wide range of stakeholders. Polanía argues persuasively for the need to create decentralized and inclusive decision-making processes, in which the voices of experts and elites are balanced by the perspectives and values of marginalized and vulnerable communities. At once sobering and inspiring, this book is essential reading for anyone who cares about the future of our species in an age of rapidly advancing artificial intelligence. With its insightful analysis, compelling storytelling, and unwavering commitment to the greater good, "Superintelligence on the Horizon" is a roadmap for navigating the complex challenges and opportunities that lie ahead, and for building a future that is not only technologically advanced, but also deeply humane and radically inclusive. Whether you are a policymaker, technologist, ethicist, or simply a concerned citizen, this book will challenge your assumptions, expand your horizons, and inspire you to take an active role in shaping the trajectory of superintelligent AI. The road ahead may be uncertain, but with Polanía as your guide, you will be better equipped to face the future with courage, wisdom, and hope.
The Language Of Deception
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Author : Justin Hutchens
language : en
Publisher: John Wiley & Sons
Release Date : 2023-11-21
The Language Of Deception written by Justin Hutchens and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.
A penetrating look at the dark side of emerging AI technologies In The Language of Deception: Weaponizing Next Generation AI, artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore multiple foundational concepts to include the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past. From these foundations, the author examines topics related to the emerging risks of advanced AI technologies, to include: The use of Large Language Models (LLMs) for social manipulation, disinformation, psychological operations, deception and fraud The implementation of LLMs to construct fully autonomous social engineering systems for targeted attacks or for mass manipulation at scale The technical use of LLMs and the underlying transformer architecture for use in technical weapons systems to include advanced next-generation malware, physical robotics, and even autonomous munition systems Speculative future risks such as the alignment problem, disembodiment attacks, and flash wars. Perfect for tech enthusiasts, cybersecurity specialists, and AI and machine learning professionals, The Language of Deception is an insightful and timely take on an increasingly essential subject.
Ai And Cyber Attacks The Growing Threat Of Ai Enhanced Hacking
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Author : AQEEL AHMED
language : en
Publisher: AQEEL AHMED
Release Date : 2023-06-01
Ai And Cyber Attacks The Growing Threat Of Ai Enhanced Hacking written by AQEEL AHMED and has been published by AQEEL AHMED this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Computers categories.
AI and Cyber Attacks: The Growing Threat of AI-Enhanced Hacking Introduction Artificial intelligence (AI) has transformed many industries, including cybersecurity. Rapid breakthroughs in artificial intelligence technology have created both opportunities and difficulties in the field of cybersecurity. While AI has enormous potential to improve security defenses and fight against cyber threats, it also poses major hazards when misused. Because of the confluence of AI and cyberattacks, a new breed of threats known as AI-enhanced hacking has emerged, which mixes AI algorithms and tactics with malicious intent. AI-enhanced hacking refers to hostile actors' use of AI and machine learning (ML) tools to increase the effectiveness, sophistication, and scope of cyberattacks. AI algorithms are being used by hackers to automate processes, boost attack success rates, elude detection, and circumvent security restrictions. Cybercriminals can substantially increase the effect and speed of their attacks by leveraging the capabilities of AI. For hackers, one of the most important benefits of AI is the capacity to launch more sophisticated and targeted attacks. AI systems can find vulnerabilities, build specialized attack methods, and adapt to changing protection mechanisms by analyzing massive volumes of data. Because of this sophistication, traditional security systems are finding it increasingly difficult to identify and resist AI-enhanced threats. AI algorithms can be used by hackers to undertake extensive reconnaissance, uncover system weaknesses, and launch precise and well-coordinated attacks. As a result, attack sophistication has increased, posing substantial problems for cybersecurity professionals. Furthermore, artificial intelligence enables hackers to automate many stages of an attack, from reconnaissance to exploitation and even post-exploitation activities. This automation enables attackers to undertake large-scale attacks, targeting several systems at the same time and improving their chances of success. Automated attacks present a big challenge to cybersecurity specialists, who must devise equally sophisticated protection systems to counter them. Hackers can save time and resources by automating their attacks while increasing their impact. Another significant benefit of AI for hackers is its ability to circumvent standard security measures and avoid discovery. In real-time, AI algorithms can evaluate trends, learn from previous attacks, and change defensive methods. Because of this adaptive behavior, attackers might go unnoticed for long periods of time, making it difficult for security analysts to identify and respond to threats quickly. AI-powered assaults can imitate legitimate user behavior, making it difficult to discern between legitimate and malicious activity. Hackers can extend their access to networks and collect critical information without alerting security measures by escaping detection. Another troubling element of AI-enhanced hacking is the weaponization of AI. As AI technology becomes more widely available, thieves can use them to develop stronger hacking tools. AI algorithms can be trained to generate convincing phishing emails, deepfake movies, and even replicate human behavior in order to circumvent multi-factor authentication systems. The weaponization of AI increases the potency of attacks and poses major hazards to individuals, organizations, and even governments. In the cybersecurity landscape, the potential for AI-powered assaults to deceive and manipulate users is becoming a significant worry. The growing threat of AI-enhanced hacking has necessitated the implementation of preventative measures to limit the hazards. To confront the shifting threat landscape, organizations and cybersecurity experts must adjust their protection measures. Advanced protection systems that use AI and machine learning can assist detect and respond to AI-enhanced threats more quickly, lessening the effect of possible breaches. AI-powered security systems can improve threat detection and response capabilities by monitoring network traffic, evaluating patterns, and recognizing anomalies in real-time. Collaboration between human expertise and AI technologies is also critical. AI can help cybersecurity professionals handle and analyze massive amounts of data, detect trends, and provide insights. Human specialists contribute critical thinking skills, contextual knowledge, and the capacity to make sound decisions in difficult situations. Organizations can develop a more effective security posture by combining human intuition and knowledge with AI's computational capabilities. In the development and deployment of Certainly! Ethical considerations are critical. There are various other factors to consider when it comes to AI and cyber-attacks, in addition to the ones described above. One critical issue is the continued need for AI-powered cybersecurity tool research and development. As AI-enhanced hacking techniques evolve, cybersecurity experts must stay on the cutting edge of technology. Continued research and development efforts can result in the development of creative technologies capable of detecting, preventing, and responding to AI-driven cyber-attacks. Collaboration and information sharing among cybersecurity specialists and companies are also critical. The cybersecurity community can collectively improve its ability to prevent AI-enhanced hacking by sharing knowledge, insights, and best practices. Collaborative initiatives such as information sharing platforms, industry conferences, and public-private partnerships can help to facilitate information flow and develop a collective defense against cyber threats. Furthermore, incorporating AI into threat intelligence can boost the ability to anticipate and respond to cyber-attacks dramatically. To identify prospective risks and deliver actionable insight, AI systems can scan enormous amounts of data, including previous attack patterns, new threats, and indicators of compromise. Organizations can proactively discover vulnerabilities, prioritize mitigation efforts, and improve incident response capabilities by employing AI in threat intelligence. End-user education and awareness are also critical in limiting the hazards of AI-enhanced hacking. Individuals must be educated on the risks posed by AI-driven cyber-attacks, such as phishing schemes, social engineering, and malware. Promoting cyber hygiene measures such as using strong passwords, being skeptical of questionable emails or links, and keeping software up to date can reduce the likelihood of falling victim to AI-powered assaults dramatically. Furthermore, legal frameworks and standards to control the development and deployment of AI technologies should be established. Governments and regulatory agencies can play an important role in establishing rules, verifying compliance, and encouraging the ethical use of AI in cybersecurity. These policies can address issues such as data privacy, algorithmic transparency, accountability, and ethical considerations, increasing trust in AI-powered cybersecurity solutions in the long run. AI has made important advances in a variety of fields, including cybersecurity. It does, however, introduce additional obstacles and threats, particularly in the form of AI-enhanced hacking. Organizations must adjust their protection methods and employ AI technology to identify, prevent, and respond to AI-driven assaults as they become more complex. Collaboration, continuing research, education, regulatory frameworks, and a team approach are critical in limiting risks and reaping the benefits of AI in cybersecurity. We can traverse the growing landscape of AI and cyber-attacks with confidence and resilience by remaining watchful, proactive, and always inventing. Artificial intelligence (AI) has surely altered various industries, including cybersecurity. The introduction of AI has created an enormous opportunity to strengthen security defenses against emerging threats. Organizations may improve their ability to detect and respond to threats in real time by leveraging the power of AI. However, the same qualities that make AI such a powerful asset in cybersecurity also offer major hazards when misused. Because of the convergence of AI and cyberattacks, a new species of risks known as AI-enhanced hacking has emerged, posing unprecedented challenges to the security landscape. AI-enhanced hacking refers to hostile actors' use of AI and machine learning techniques to increase the effectiveness, sophistication, and size of cyber-attacks. AI algorithms are being used by hackers to automate processes, boost attack success rates, elude detection, and circumvent security restrictions. This fusion of AI and hacking methodologies has significant ramifications for cybersecurity experts and companies. The implications of AI-enhanced hacking are wide-ranging and frightening. For starters, AI enables hackers to conduct more sophisticated attacks. AI systems can find vulnerabilities, build specialized attack methods, and adapt to changing protection mechanisms by analyzing massive volumes of data. Because of this sophistication, traditional security systems are finding it increasingly difficult to identify and resist AI-enhanced assaults successfully. Furthermore, AI enables unparalleled scale of automated attacks. AI algorithms can be used by hackers to automate many stages of an attack, from reconnaissance to exploitation and even post-exploitation. Because of this automation, attackers can target several systems at the same time, boosting their chances of success. The ability to launch automated attacks presents a big challenge for cybersecurity professionals, who must create similarly advanced protection measures to properly counter them. Another major problem is AI's ability to avoid discovery. AI algorithms are being used by hackers to detect trends, learn from previous attacks, and change defensive methods in real-time. Because of this adaptive behavior, attackers might go unnoticed for long periods of time, making it difficult for security analysts to identify and respond to threats quickly. Furthermore, the weaponization of AI increases the effectiveness of strikes while posing significant hazards. As AI technology becomes more widely available, thieves can use them to develop stronger hacking tools. AI algorithms can be trained to generate convincing phishing emails, deepfake movies, and even replicate human behavior in order to circumvent multi-factor authentication systems. The ability to weaponize AI raises the effect and possible harm caused by hacks dramatically. Several efforts can be made to reduce the hazards posed by AI-enhanced hacking. First and foremost, enterprises must invest in modern defense mechanisms that employ AI and machine learning. Organizations may monitor network traffic, analyze patterns, and detect anomalies in real time by using AI-powered security solutions. This proactive approach can assist in detecting and responding to attacks more quickly, limiting the effect of possible breaches. Furthermore, human-AI collaboration is critical in preventing AI-enhanced hacking. While AI is powerful, human expertise is also necessary. To increase threat intelligence and response, organizations should encourage collaboration between cybersecurity specialists and AI systems. A more effective defense posture can be built by combining human intuition and contextual knowledge with AI's computational skills. In tackling the issue of AI-enhanced hacking, ethical considerations and responsible use of AI are critical. Governments, organizations, and technology suppliers should collaborate to develop guidelines for the ethical use of AI in cybersecurity. Transparency, accountability, and privacy should be prioritized in AI development and deployment. As AI evolves at a rapid pace, continuous monitoring and training of AI systems is critical. To remain abreast of new assault strategies, regular assessments and upgrades are required. Organizations should also invest in employee training programs to educate users about the potential threats of AI-enhanced hacking, as well as how to spot and respond to them.