Download or read book Surveillance and Threat Detection written by Richard Kirchner and published by Butterworth-Heinemann. This book was released on 2013-12-21 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveillance and Threat Detection offers readers a complete understanding of the terrorist/criminal cycle, and how to interrupt that cycle to prevent an attack. Terrorists and criminals often rely on pre-attack and pre-operational planning and surveillance activities that can last a period of weeks, months, or even years. Identifying and disrupting this surveillance is key to prevention of attacks. The systematic capture of suspicious events and the correlation of those events can reveal terrorist or criminal surveillance, allowing security professionals to employ appropriate countermeasures and identify the steps needed to apprehend the perpetrators. The results will dramatically increase the probability of prevention while streamlining protection assets and costs. Readers of Surveillance and Threat Detection will draw from real-world case studies that apply to their real-world security responsibilities. Ultimately, readers will come away with an understanding of how surveillance detection at a high-value, fixed site facility can be integrated into an overall security footprint for any organization. Understand the terrorist/criminal cycle and how to interrupt that cycle to prevent an attack Understand how to encapsulate criminal and terrorist surveillance, analyze suspicious activity reports, and use an all-hazard, threat-based surveillance detection protection program Access a full ancillary package, including instructor's manual, test banks, and student study exams
Download or read book Practical Threat Detection Engineering written by Megan Roddie and published by Packt Publishing Ltd. This book was released on 2023-07-21 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go on a journey through the threat detection engineering lifecycle while enriching your skill set and protecting your organization Key Features Gain a comprehensive understanding of threat validation Leverage open-source tools to test security detections Harness open-source content to supplement detection and testing Book DescriptionThreat validation is an indispensable component of every security detection program, ensuring a healthy detection pipeline. This comprehensive detection engineering guide will serve as an introduction for those who are new to detection validation, providing valuable guidelines to swiftly bring you up to speed. The book will show you how to apply the supplied frameworks to assess, test, and validate your detection program. It covers the entire life cycle of a detection, from creation to validation, with the help of real-world examples. Featuring hands-on tutorials and projects, this guide will enable you to confidently validate the detections in your security program. This book serves as your guide to building a career in detection engineering, highlighting the essential skills and knowledge vital for detection engineers in today's landscape. By the end of this book, you’ll have developed the skills necessary to test your security detection program and strengthen your organization’s security measures.What you will learn Understand the detection engineering process Build a detection engineering test lab Learn how to maintain detections as code Understand how threat intelligence can be used to drive detection development Prove the effectiveness of detection capabilities to business leadership Learn how to limit attackers' ability to inflict damage by detecting any malicious activity early Who this book is for This book is for security analysts and engineers seeking to improve their organization’s security posture by mastering the detection engineering lifecycle. To get started with this book, you’ll need a basic understanding of cybersecurity concepts, along with some experience with detection and alert capabilities.
Download or read book Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection written by Shilpa Mahajan and published by John Wiley & Sons. This book was released on 2024-03-22 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive 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 theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.
Download or read book Big Data Analytics with Applications in Insider Threat Detection written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2017-11-22 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Download or read book Handbook of Research on Threat Detection and Countermeasures in Network Security written by Al-Hamami, Alaa Hussein and published by IGI Global. This book was released on 2014-10-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber attacks are rapidly becoming one of the most prevalent issues in the world. As cyber crime continues to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. The Handbook of Research on Threat Detection and Countermeasures in Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts, and technology specialists interested in the simulation and application of computer network protection.
Download or read book Securing Data on Threat Detection by Using IBM Spectrum Scale and IBM QRadar An Enhanced Cyber Resiliency Solution written by Boudhayan Chakrabarty and published by IBM Redbooks. This book was released on 2021-09-13 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management (SIEM) software for deep inspection, detection, and prioritization of threats has become a necessity for any business. This IBM® Redpaper publication explains how the storage features of IBM Spectrum® Scale, when combined with the log analysis, deep inspection, and detection of threats that are provided by IBM QRadar®, help reduce the impact of incidents on business data. Such integration provides an excellent platform for hosting unstructured business data that is subject to regulatory compliance requirements. This paper describes how IBM Spectrum Scale File Audit Logging can be integrated with IBM QRadar. Using IBM QRadar, an administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data that is stored on IBM Spectrum Scale. When the threats are identified, you can quickly act on them to mitigate or reduce the impact of incidents. We further demonstrate how the threat detection by IBM QRadar can proactively trigger data snapshots or cyber resiliency workflow in IBM Spectrum Scale to protect the data during threat. This third edition has added the section "Ransomware threat detection", where we describe a ransomware attack scenario within an environment to leverage IBM Spectrum Scale File Audit logs integration with IBM QRadar. This paper is intended for chief technology officers, solution engineers, security architects, and systems administrators. This paper assumes a basic understanding of IBM Spectrum Scale and IBM QRadar and their administration.
Download or read book AI Enabled Threat Detection and Security Analysis for Industrial IoT written by Hadis Karimipour and published by Springer Nature. This book was released on 2021-08-03 with total page 250 pages. 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.
Download or read book Enhanced Cyber Resilience Threat Detection with IBM FlashSystem Safeguarded Copy and IBM QRadar written by IBM Storage and published by IBM Redbooks. This book was released on 2021-10-15 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this document is to demonstrate an early threat detection by using IBM® QRadar® and the Safeguarded Copy feature that is available as part of IBM FlashSystem® and IBM SAN Volume Controller. Such early detection protects and quickly recovers the data if a cyberattack occurs. This document describes integrating IBM FlashSystem audit logs with IBM QRadar, and the configuration steps for IBM FlashSystem and IBM QRadar. It also explains how to use the IBM QRadar's device support module (DSM) editor to normalize events and assign IBM QRadar identifier (QID) map to the events. Post IBM QRadar configuration, we review configuring Safeguarded Copy on the application volumes by using volume groups and applying Safeguarded backup polices on the volume group. Finally, we demonstrate the use of orchestration software IBM Copy Services Manager to start a recovery, restore operations for data restoration on online volumes, and start a backup of data volumes.
Download or read book Proactive Early Threat Detection and Securing SQL Database With IBM QRadar and IBM Spectrum Copy Data Management Using IBM FlashSystem Safeguarded Copy written by Tejas Sapkar and published by IBM Redbooks. This book was released on 2022-10-14 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® blueprint publication focuses on early threat detection within a database environment by using IBM QRadar®. It also highlights how to proactively start a cyber resilience workflow in response to a cyberattack or potential malicious user actions. The workflow that is presented here uses IBM Spectrum® Copy Data Management as orchestration software to start IBM FlashSystem® Safeguarded Copy functions. The Safeguarded Copy creates an immutable copy of the data in an air-gapped form on the same IBM FlashSystem for isolation and eventual quick recovery. This document describes how to enable and forward SQL database user activities to IBM QRadar. This document also describes how to create various rules to determine a threat, and configure and start a suitable response to the detected threat in IBM QRadar. Finally, this document outlines the steps that are involved to create a Scheduled Job by using IBM Spectrum® Copy Data Management with various actions.
Download or read book Proactive Early Threat Detection and Securing Oracle Database with IBM QRadar IBM Security Guardium Database Protection and IBM Copy Services Manager by using IBM FlashSystem Safeguarded Copy written by Shashank Shingornikar and published by IBM Redbooks. This book was released on 2023-03-10 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® blueprint publication focuses on early threat detection within a database environment by using IBM Security® Guardium® Data Protection and IBM QRadar® . It also highlights how to proactively start a cyber resilience workflow in response to a cyberattack or potential malicious user actions. The workflow that is presented here uses IBM Copy Services Manager as orchestration software to start IBM FlashSystem® Safeguarded Copy functions. The Safeguarded Copy creates an immutable copy of the data in an air-gapped form on the same IBM FlashSystem for isolation and eventual quick recovery. This document describes how to enable and forward Oracle database user activities (by using IBM Security Guardium Data Protection) and IBM FlashSystem audit logs by using IBM FlashSystem to IBM QRadar. This document also describes how to create various rules to determine a threat, and configure and launch a suitable response to the detected threat in IBM QRadar. The document also outlines the steps that are involved to create a Scheduled Task by using IBM Copy Services Manager with various actions.
Download or read book Early Threat Detection and Safeguarding Data with IBM QRadar and IBM Copy Services Manager on IBM DS8000 written by IBM and published by IBM Redbooks. This book was released on 2022-04-21 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this blueprint is to highlight early threat detection by IBM® QRadar® and to proactively start a cyber resilience workflow in response to a cyberattack or malicious user actions. The workflow uses IBM Copy Services Manager (CSM) as orchestration software to start IBM DS8000® Safeguarded Copy functions. The Safeguarded Copy creates an immutable copy of the data in an air-gapped form on the same DS8000 system for isolation and eventual quick recovery. This document also explains the steps that are involved to enable and forward IBM DS8000 audit logs to IBM QRadar. It also discusses how to use create various rules to determine a threat, and configure and start a suitable response to the detected threat in IBM QRadar. Finally, this document explains how to register a storage system and create a Scheduled Task by using CSM.
Download or read book Enhanced Cyber Resilience Solution by Threat Detection using IBM Cloud Object Storage System and IBM QRadar SIEM written by IBM Storage and published by IBM Redbooks. This book was released on 2021-03-04 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Solution RedpaperTM publication explains how the features of IBM Cloud® Object Storage System reduces the effect of incidents on business data when combined with log analysis, deep inspection, and detection of threats that IBM QRadar SIEM provides. This paper also demonstrates how to integrate IBM Cloud Object Storage's access logs with IBM QRadar SIEM. An administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data that is stored on IBM Cloud Object Storage. Also, IBM QRadar SIEM can proactively trigger cyber resiliency workflow in IBM Cloud Object Storage remotely to protect the data based on threat detection. This publication is intended for chief technology officers, solution and security architects, and systems administrators.
Download or read book Cisco Security Professional s Guide to Secure Intrusion Detection Systems written by Syngress and published by Elsevier. This book was released on 2003-10-29 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cisco Systems, Inc. is the worldwide leader in networking for the Internet, and its Intrusion Detection Systems line of products is making in roads in the IDS market segment, with major upgrades having happened in February of 2003. Cisco Security Professional's Guide to Secure Intrusion Detection Systems is a comprehensive, up-to-date guide to the hardware and software that comprise the Cisco IDS. Cisco Security Professional's Guide to Secure Intrusion Detection Systems does more than show network engineers how to set up and manage this line of best selling products ... it walks them step by step through all the objectives of the Cisco Secure Intrusion Detection System course (and corresponding exam) that network engineers must pass on their way to achieving sought-after CCSP certification. Offers complete coverage of the Cisco Secure Intrusion Detection Systems Exam (CSIDS 9E0-100) for CCSPs
Download or read book Insider Threat written by Michael G. Gelles and published by Butterworth-Heinemann. This book was released on 2016-05-28 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Insider Threat: Detection, Mitigation, Deterrence and Prevention presents a set of solutions to address the increase in cases of insider threat. This includes espionage, embezzlement, sabotage, fraud, intellectual property theft, and research and development theft from current or former employees. This book outlines a step-by-step path for developing an insider threat program within any organization, focusing on management and employee engagement, as well as ethical, legal, and privacy concerns. In addition, it includes tactics on how to collect, correlate, and visualize potential risk indicators into a seamless system for protecting an organization’s critical assets from malicious, complacent, and ignorant insiders. Insider Threat presents robust mitigation strategies that will interrupt the forward motion of a potential insider who intends to do harm to a company or its employees, as well as an understanding of supply chain risk and cyber security, as they relate to insider threat. Offers an ideal resource for executives and managers who want the latest information available on protecting their organization’s assets from this growing threat Shows how departments across an entire organization can bring disparate, but related, information together to promote the early identification of insider threats Provides an in-depth explanation of mitigating supply chain risk Outlines progressive approaches to cyber security
Download or read book Threat Mitigation and Detection of Cyber Warfare and Terrorism Activities written by Korstanje, Maximiliano E. and published by IGI Global. This book was released on 2016-11-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology provides numerous opportunities for positive developments in modern society; however, these venues inevitably increase vulnerability to threats in online environments. Addressing issues of security in the cyber realm is increasingly relevant and critical to society. Threat Mitigation and Detection of Cyber Warfare and Terrorism Activities is a comprehensive reference source for the latest scholarly perspectives on countermeasures and related methods to enhance security and protection against criminal activities online. Highlighting a range of topics relevant to secure computing, such as parameter tampering, surveillance and control, and digital protests, this book is ideally designed for academics, researchers, graduate students, professionals, and practitioners actively involved in the expanding field of cyber security.
Download or read book Artificial Intelligence for Intrusion Detection Systems written by Mayank Swarnkar and published by CRC Press. This book was released on 2023-10-16 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS). Features: A systematic overview of the state-of-the-art IDS Proper explanation of novel cyber attacks which are much different from classical cyber attacks Proper and in-depth discussion of AI in the field of cybersecurity Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.
Download or read book Machine Learning and Cognitive Science Applications in Cyber Security written by Khan, Muhammad Salman and published by IGI Global. This book was released on 2019-05-15 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.