Ai Driven Cyber Security
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Ai Driven Cybersecurity Andthreat Intelligence
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Author : Iqbal H. Sarker
language : en
Publisher: Springer Nature
Release Date :
Ai Driven Cybersecurity Andthreat Intelligence written by Iqbal H. Sarker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Ai Driven Cyber Security
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Author : S. R. Jena
language : en
Publisher: Scholars' Press
Release Date : 2024-01-17
Ai Driven Cyber Security written by S. R. Jena and has been published by Scholars' Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-17 with Computers categories.
Welcome to the forefront of modern cyber security – a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, "AI-Driven Cyber Security: Navigating the Digital Frontier with Deep Learning" embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security. In the interconnected world we inhabit, where data is the lifeblood of every organisation, the marriage of AI and cyber security becomes not just a choice but a necessity. Moreover, the book contains 8 chapters. They are: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Basics of AI and Deep Learning 4. AI in Cyber Security: An Overview 5. Deep Learning for Threat Detection 6. Natural Language Processing (NLP) in Cyber Security 7. Adversarial Machine Learning 8. Explainability and Transparency in AI Security
Ai In Cybersecurity
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Author : Arun Kumar Krishna
language : en
Publisher: Independently Published
Release Date : 2024-06-09
Ai In Cybersecurity written by Arun Kumar Krishna and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-09 with Computers categories.
In today's rapidly evolving digital landscape, traditional cybersecurity measures are no longer sufficient to combat sophisticated cyber threats. "AI in Cybersecurity: Transforming Threat Detection and Response" provides a comprehensive guide on how artificial intelligence (AI) technologies are revolutionizing the field of cybersecurity. This book explores the intersection of AI and cybersecurity, highlighting the transformative impact of AI-driven solutions on threat detection, response, and overall security posture. Key Topics Covered: 1. The Evolution of Cybersecurity: - An in-depth look at how cybersecurity practices have evolved over time, from reactive measures to proactive AI-driven strategies. - The growing complexity of cyber threats and the need for advanced security solutions. 2. AI Technologies in Cybersecurity: - A detailed exploration of various AI technologies, including machine learning, deep learning, and natural language processing, and their applications in cybersecurity. - Practical examples of how these technologies enhance threat detection, behavioral analysis, and anomaly detection. 3. OCR and Visual AI: - Insights into how optical character recognition (OCR) and visual AI technologies are used to detect document-based attacks and monitor visual data for suspicious activities. - Technical details and extended use cases across different industries. 4. Case Studies: - Real-world examples from the financial, healthcare, and government sectors, showcasing successful implementations of AI-driven cybersecurity solutions. - Detailed analysis of challenges faced, solutions implemented, and outcomes achieved. 5. Implementation Strategies: - Step-by-step guidance on implementing AI in cybersecurity, including assessing current security posture, defining objectives, selecting technologies, and integrating AI with existing systems. - Best practices for successful implementation and overcoming common challenges. 6. Future Trends: - An exploration of emerging trends in AI and cybersecurity, such as quantum computing, federated learning, explainable AI, and autonomous cybersecurity systems. - Predictions for the future of AI in cybersecurity and its potential impact on the industry. Key Takeaways: - Gain a thorough understanding of how AI technologies are transforming cybersecurity practices. - Learn about the latest advancements in AI-driven threat detection and response. - Discover practical implementation strategies and best practices for integrating AI into your cybersecurity framework. - Stay informed about emerging trends and future directions in AI and cybersecurity. Who Should Read This Book: "AI in Cybersecurity: Transforming Threat Detection and Response" is an essential read for cybersecurity professionals, IT managers, AI enthusiasts, and anyone interested in understanding the transformative potential of AI in the field of cybersecurity. Whether you are looking to enhance your organization's security posture or stay ahead of the latest industry trends, this book provides valuable insights and practical guidance to help you navigate the complex world of AI-driven cybersecurity.
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.
Advances In Cyber Security
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Author : Rashmi Agrawal
language : en
Publisher: Wiley-Scrivener
Release Date : 2022-06-15
Advances In Cyber Security written by Rashmi Agrawal and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with categories.
Cybersecurity In Intelligent Networking Systems
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Author : Shengjie Xu
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-02
Cybersecurity In Intelligent Networking Systems written by Shengjie Xu 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 2022-11-02 with Computers categories.
CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.
Developing Cybersecurity Programs And Policies In An Ai Driven World
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Author : Omar Santos
language : en
Publisher: Pearson IT Certification
Release Date : 2024-08-26
Developing Cybersecurity Programs And Policies In An Ai Driven World written by Omar Santos and has been published by Pearson IT Certification this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Computers categories.
Artificial Intelligence For Cybersecurity
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2022-07-15
Artificial Intelligence For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.
Redefining Security With Cyber Ai
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Redefining Security With Cyber Ai written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses. Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.
Hands On Artificial Intelligence For Cybersecurity
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Author : Alessandro Parisi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-08-02
Hands On Artificial Intelligence For Cybersecurity written by Alessandro Parisi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Computers categories.
Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.