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Attribution of Advanced Persistent Threats

Attribution of Advanced Persistent Threats
Author: Timo Steffens
Publisher: Springer Nature
Total Pages: 207
Release: 2020-07-20
Genre: Computers
ISBN: 3662613131

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An increasing number of countries develop capabilities for cyber-espionage and sabotage. The sheer number of reported network compromises suggests that some of these countries view cyber-means as integral and well-established elements of their strategical toolbox. At the same time the relevance of such attacks for society and politics is also increasing. Digital means were used to influence the US presidential election in 2016, repeatedly led to power outages in Ukraine, and caused economic losses of hundreds of millions of dollars with a malfunctioning ransomware. In all these cases the question who was behind the attacks is not only relevant from a legal perspective, but also has a political and social dimension. Attribution is the process of tracking and identifying the actors behind these cyber-attacks. Often it is considered an art, not a science. This book systematically analyses how hackers operate, which mistakes they make, and which traces they leave behind. Using examples from real cases the author explains the analytic methods used to ascertain the origin of Advanced Persistent Threats.


Advanced Persistent Threats in Cybersecurity – Cyber Warfare

Advanced Persistent Threats in Cybersecurity – Cyber Warfare
Author: Nicolae Sfetcu
Publisher: MultiMedia Publishing
Total Pages: 65
Release: 2024-06-22
Genre: True Crime
ISBN: 6060338518

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This book aims to provide a comprehensive analysis of Advanced Persistent Threats (APTs), including their characteristics, origins, methods, consequences, and defense strategies, with a focus on detecting these threats. It explores the concept of advanced persistent threats in the context of cyber security and cyber warfare. APTs represent one of the most insidious and challenging forms of cyber threats, characterized by their sophistication, persistence, and targeted nature. The paper examines the origins, characteristics and methods used by APT actors. It also explores the complexities associated with APT detection, analyzing the evolving tactics used by threat actors and the corresponding advances in detection methodologies. It highlights the importance of a multi-faceted approach that integrates technological innovations with proactive defense strategies to effectively identify and mitigate APT. CONTENTS: Abstract Introduction - Cybersecurity - - Challenges in cyber security - - Solutions in cyber security - Cyber warfare - - Challenges in maintaining cybersecurity - - Implications of cyber warfare Advanced Persistent Threats - Definition of APT - History of APT - Features of APT - APT methods, techniques, and models - - APT life cycle - - Consequences of APT attacks - Defense strategies - Related works - Case studies - - Titan Rain - - Sykipot - - GhostNet - - Stuxnet - - Operation Aurora - - Duque - - RSA SecureID attack - - Flame - - Carbanak - - Red October - - Other APT attacks - - Common characteristics - Opportunities and challenges - Observations on APT attacks APT detection - Features of advanced persistent threats - Evolution of APT tactics - Ways to detect APT - - Traffic analytics - - Technological approaches to APT detection - - Integrating data science and artificial intelligence - Proactive defense strategies - Related works - Notes on APT detection Conclusions Bibliography DOI: 10.58679/MM28378


Malware Data Science

Malware Data Science
Author: Joshua Saxe
Publisher: No Starch Press
Total Pages: 274
Release: 2018-09-25
Genre: Computers
ISBN: 1593278594

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Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to: - Analyze malware using static analysis - Observe malware behavior using dynamic analysis - Identify adversary groups through shared code analysis - Catch 0-day vulnerabilities by building your own machine learning detector - Measure malware detector accuracy - Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.


Cyber Mercenaries

Cyber Mercenaries
Author: Tim Maurer
Publisher: Cambridge University Press
Total Pages: 267
Release: 2018-01-18
Genre: Law
ISBN: 1108580262

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Cyber Mercenaries explores the secretive relationships between states and hackers. As cyberspace has emerged as the new frontier for geopolitics, states have become entrepreneurial in their sponsorship, deployment, and exploitation of hackers as proxies to project power. Such modern-day mercenaries and privateers can impose significant harm undermining global security, stability, and human rights. These state-hacker relationships therefore raise important questions about the control, authority, and use of offensive cyber capabilities. While different countries pursue different models for their proxy relationships, they face the common challenge of balancing the benefits of these relationships with their costs and the potential risks of escalation. This book examines case studies in the United States, Iran, Syria, Russia, and China for the purpose of establishing a framework to better understand and manage the impact and risks of cyber proxies on global politics.


Cyber Security

Cyber Security
Author: Xiaochun Yun
Publisher: Springer
Total Pages: 177
Release: 2019-01-01
Genre: Computer networks
ISBN: 9811366217

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This open access book constitutes the refereed proceedings of the 15th International Annual Conference on Cyber Security, CNCERT 2018, held in Beijing, China, in August 2018. The 14 full papers presented were carefully reviewed and selected from 53 submissions. The papers cover the following topics: emergency response, mobile internet security, IoT security, cloud security, threat intelligence analysis, vulnerability, artificial intelligence security, IPv6 risk research, cybersecurity policy and regulation research, big data analysis and industrial security.


Advanced Persistent Threat

Advanced Persistent Threat
Author: Eric Cole
Publisher: Newnes
Total Pages: 309
Release: 2012-12-31
Genre: Computers
ISBN: 1597499552

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The newest threat to security has been categorized as the Advanced Persistent Threat or APT. The APT bypasses most of an organization’s current security devices, and is typically carried out by an organized group, such as a foreign nation state or rogue group with both the capability and the intent to persistently and effectively target a specific entity and wreak havoc. Most organizations do not understand how to deal with it and what is needed to protect their network from compromise. In Advanced Persistent Threat: Understanding the Danger and How to Protect your Organization Eric Cole discusses the critical information that readers need to know about APT and how to avoid being a victim. Advanced Persistent Threat is the first comprehensive manual that discusses how attackers are breaking into systems and what to do to protect and defend against these intrusions. How and why organizations are being attacked How to develop a "Risk based Approach to Security" Tools for protecting data and preventing attacks Critical information on how to respond and recover from an intrusion The emerging threat to Cloud based networks


Reverse Deception: Organized Cyber Threat Counter-Exploitation

Reverse Deception: Organized Cyber Threat Counter-Exploitation
Author: Sean M. Bodmer
Publisher: McGraw Hill Professional
Total Pages: 465
Release: 2012-07-06
Genre: Computers
ISBN: 0071772502

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In-depth counterintelligence tactics to fight cyber-espionage "A comprehensive and unparalleled overview of the topic by experts in the field."--Slashdot Expose, pursue, and prosecute the perpetrators of advanced persistent threats (APTs) using the tested security techniques and real-world case studies featured in this one-of-a-kind guide. Reverse Deception: Organized Cyber Threat Counter-Exploitation shows how to assess your network’s vulnerabilities, zero in on targets, and effectively block intruders. Discover how to set up digital traps, misdirect and divert attackers, configure honeypots, mitigate encrypted crimeware, and identify malicious software groups. The expert authors provide full coverage of legal and ethical issues, operational vetting, and security team management. Establish the goals and scope of your reverse deception campaign Identify, analyze, and block APTs Engage and catch nefarious individuals and their organizations Assemble cyber-profiles, incident analyses, and intelligence reports Uncover, eliminate, and autopsy crimeware, trojans, and botnets Work with intrusion detection, anti-virus, and digital forensics tools Employ stealth honeynet, honeypot, and sandbox technologies Communicate and collaborate with legal teams and law enforcement


Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity

Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity
Author: Hamid Jahankhani
Publisher: Springer Nature
Total Pages: 445
Release: 2020-04-06
Genre: Computers
ISBN: 3030357465

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This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on the tactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.


Data Mining

Data Mining
Author:
Publisher: BoD – Books on Demand
Total Pages: 226
Release: 2022-03-30
Genre: Computers
ISBN: 1839692669

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The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining.