Advanced Cyber Threat Intelligence And Intrusion Detection System For Network Security
DOWNLOAD
Download Advanced Cyber Threat Intelligence And Intrusion Detection System For Network Security PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advanced Cyber Threat Intelligence And Intrusion Detection System For Network Security book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advanced Cyber Threat Intelligence And Intrusion Detection System For Network Security
DOWNLOAD
Author : Chandramouli Viswanathan, Jaishree Ramakrishnan
language : en
Publisher: RK Publication
Release Date : 2025-05-01
Advanced Cyber Threat Intelligence And Intrusion Detection System For Network Security written by Chandramouli Viswanathan, Jaishree Ramakrishnan and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.
"Advanced Cyber Threat Intelligence and Intrusion Detection System for Network Security" explores cutting-edge methodologies to safeguard modern digital infrastructures. This book delves into the principles and practices of cyber threat intelligence (CTI), real-time anomaly detection, and intrusion detection systems (IDS), highlighting the integration of AI, machine learning, and big data analytics. It offers a comprehensive overview of threat hunting, behavioral analysis, and zero-day attack mitigation. Designed for researchers, cybersecurity professionals, and students, the book combines theoretical foundations with practical applications, case studies, and emerging trends. It serves as a vital resource for building proactive and adaptive defense mechanisms in evolving cyber landscapes.
Cyber Threat Intelligence
DOWNLOAD
Author : Ali Dehghantanha
language : en
Publisher: Springer
Release Date : 2018-04-27
Cyber Threat Intelligence written by Ali Dehghantanha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.
This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
The Nice Cyber Security Framework
DOWNLOAD
Author : Izzat Alsmadi
language : en
Publisher: Springer
Release Date : 2019-01-24
The Nice Cyber Security Framework written by Izzat Alsmadi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-24 with Technology & Engineering categories.
This textbook is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) KSAs work roles and framework, that adopt the Competency-Based Education (CBE) method. The book follows the CBT (KSA) general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for Skills and Abilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into seven parts: Securely Provision; Operate and Maintain; Oversee and Govern; Protect and Defend; Analysis; Operate and Collect; Investigate. All classroom materials (in the book an ancillary) adhere to the NICE framework. Mirrors classes set up by the National Initiative for Cybersecurity Education (NICE) Adopts the Competency-Based Education (CBE) method of teaching, used by universities, corporations, and in government training Includes content and ancillaries that provide skill-based instruction on compliance laws, information security standards, risk response and recovery, and more
Deep Learning Applications For Cyber Security
DOWNLOAD
Author : Mamoun Alazab
language : en
Publisher: Springer
Release Date : 2019-08-14
Deep Learning Applications For Cyber Security written by Mamoun Alazab and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-14 with Computers categories.
Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
Security Of Information And Networks
DOWNLOAD
Author : Atilla Eli
language : en
Publisher: Trafford Publishing
Release Date : 2008
Security Of Information And Networks written by Atilla Eli and has been published by Trafford Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
This book is a select collection of edited papers from the International Conference on Security of Information and Networks (SIN 2007) on the main theme of Information Assurance, Security, and Public Policy. SIN 2007 was hosted by the Eastern Mediterranean University in Gazimagusa, North Cyprus and co-organized by the Istanbul Technical University, Turkey. While SIN 2007 covered all areas of information and network security, the papers included here focused on the following topics: - cryptology: design and analysis of cryptographic algorithms, hardware and software implementations of cryptographic algorithms, and steganography; - network security: authentication, authorization and access control, privacy, intrusion detection, grid security, and mobile and personal area networks; - IT governance: information security management systems, risk and threat analysis, and information security policies. They represent an interesting mix of innovative academic research and experience reports from practitioners. This is further complemented by a number of invited papers providing excellent overviews: - Elisabeth Oswald, University of Bristol, Bristol, UK: Power Analysis Attack: A Very Brief Introduction; - Marc Joye, Thomson R&D, France: On White-Box Cryptography; - Bart Preneel, Katholieke Universiteit Leuven, Leuven, Belgium: Research Challenges in Cryptology; - Mehmet Ufuk Caglayan, Bogazici University, Turkey: Secure Routing in Ad Hoc Networks and Model Checking. The papers are organized in a logical sequence covering Ciphers; Mobile Agents & Networks; Access Control and Security Assurance; Attacks, Intrusion Detection, and Security Recommendations; and, Security Software, Performance, and Experience.
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning
DOWNLOAD
Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-22
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning written by Goel, Pawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Business & Economics categories.
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Mastering Sebis Cscrf A Comprehensive Guide To Cybersecurity Resilience In Financial Markets
DOWNLOAD
Author : QuickTechie.com | A career growth machine
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date : 2025-02-15
Mastering Sebis Cscrf A Comprehensive Guide To Cybersecurity Resilience In Financial Markets written by QuickTechie.com | A career growth machine and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.
"Mastering SEBI's CSCRF: A Comprehensive Guide to Cybersecurity & Resilience in Financial Markets" provides a detailed roadmap for financial institutions, cybersecurity professionals, IT leaders, and compliance officers navigating the complexities of SEBI's Cyber Security & Cyber Resilience Framework (CSCRF). In an age where cyber threats are constantly evolving, this book serves as an essential resource for understanding, implementing, and maintaining compliance with SEBI's cybersecurity mandates, ensuring robust digital defenses within India's financial sector. This book delivers a comprehensive breakdown of the CSCRF, offering clear guidance on key provisions, compliance requirements, and enforcement mechanisms. Readers will gain critical insights into the evolving cyber threat landscape, specifically within financial markets, and learn effective mitigation strategies for emerging risks. Crucially, it provides practical advice on building robust security controls and incident response mechanisms to detect and address cyberattacks swiftly. Furthermore, the book emphasizes the importance of resilience and business continuity planning, ensuring uninterrupted financial services even in the face of cyber incidents. It details how to meet SEBI's expectations regarding regulatory compliance and audits, empowering organizations to demonstrate adherence to the framework. Through the use of real-world case studies and best practices drawn from cyber incidents in the financial sector, the book provides valuable lessons and actionable strategies for strengthening cyber resilience. According to QuickTechie.com, proactive measures are essential in maintaining a secure financial ecosystem. "Mastering SEBI's CSCRF" is a vital resource for CISOs, IT security teams, financial regulators, auditors, and risk management professionals seeking to bolster cyber resilience in capital markets and stay ahead of evolving cybersecurity threats. Prepare, protect, and comply�master SEBI�s CSCRF to safeguard the financial ecosystem!
Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense
DOWNLOAD
Author : Alauthman, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense written by Alauthman, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Computers categories.
AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists.
Ai Enhanced Cybersecurity For Industrial Automation
DOWNLOAD
Author : Pandey, Hari Mohan
language : en
Publisher: IGI Global
Release Date : 2025-05-09
Ai Enhanced Cybersecurity For Industrial Automation written by Pandey, Hari Mohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
As industrial automation systems become reliant on digital technologies, they face growing threats from sophisticated cyberattacks. Traditional cybersecurity measures often struggle to keep up with the evolving threat landscape, leaving critical infrastructure vulnerable. AI-enhanced cybersecurity offers a promising solution by leveraging machine learning and intelligent algorithms to detect, respond to, and even predict cyber threats in real time. By integrating AI into industrial cybersecurity frameworks, organizations can strengthen their defenses, ensure operational continuity, and protect valuable assets from malicious threats. AI-Enhanced Cybersecurity for Industrial Automation explores the integration of AI and cybersecurity in industry 5.0, emphasizing sustainability, resilience, and ethical considerations. It examines how industry 5.0 extends beyond automation and efficiency by incorporating human-centric, sustainable, and intelligent technologies into industrial ecosystems. This book covers topics such as blockchain, industrial engineering, and machine learning, and is a useful resource for computer engineers, business owners, security professionals, academicians, researchers, and scientists.
A Comprehensive Guide To The Nist Cybersecurity Framework 2 0
DOWNLOAD
Author : Jason Edwards
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-29
A Comprehensive Guide To The Nist Cybersecurity Framework 2 0 written by Jason Edwards 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 2024-08-29 with Computers categories.
Learn to enhance your organization’s cybersecurit y through the NIST Cybersecurit y Framework in this invaluable and accessible guide The National Institute of Standards and Technology (NIST) Cybersecurity Framework, produced in response to a 2014 US Presidential directive, has proven essential in standardizing approaches to cybersecurity risk and producing an efficient, adaptable toolkit for meeting cyber threats. As these threats have multiplied and escalated in recent years, this framework has evolved to meet new needs and reflect new best practices, and now has an international footprint. There has never been a greater need for cybersecurity professionals to understand this framework, its applications, and its potential. A Comprehensive Guide to the NIST Cybersecurity Framework 2.0 offers a vital introduction to this NIST framework and its implementation. Highlighting significant updates from the first version of the NIST framework, it works through each of the framework’s functions in turn, in language both beginners and experienced professionals can grasp. Replete with compliance and implementation strategies, it proves indispensable for the next generation of cybersecurity professionals. A Comprehensive Guide to the NIST Cybersecurity Framework 2.0 readers will also find: Clear, jargon-free language for both beginning and advanced readers Detailed discussion of all NIST framework components, including Govern, Identify, Protect, Detect, Respond, and Recover Hundreds of actionable recommendations for immediate implementation by cybersecurity professionals at all levels A Comprehensive Guide to the NIST Cybersecurity Framework 2.0 is ideal for cybersecurity professionals, business leaders and executives, IT consultants and advisors, and students and academics focused on the study of cybersecurity, information technology, or related fields.