Multi Level Sandboxing Techniques For Execution Based Stealthy Malware Detection
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Multi Level Sandboxing Techniques For Execution Based Stealthy Malware Detection
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Author : Lei Liu
language : en
Publisher:
Release Date : 2011
Multi Level Sandboxing Techniques For Execution Based Stealthy Malware Detection written by Lei Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Anomaly detection (Computer security) categories.
These days all kinds of malware are pervasive on the Internet. Compared to their ancestors that were commonly used for vandalism or demonstration of skills, modern malware, such as Bots, are driven by the underground economics. Often consisting of hundreds to thousands of bots, botnets are one of the most serious threats on the Internet, responsible for various attacks, such as spamming and distributed denial of service (DDoS). As web browsers are the main interface for the majority of Internet users to surf the Internet today, many of such stealthy malware seek to invade via web browsers in the form of browser helper objects (BHO) and browser toolbars. To defend against Internet malware, existing schemes mainly rely on either signature-based or anomaly-based detection approaches. Signature-based detection is effective for known malware if the malware signature has been generated. However, the effectiveness of signature-based schemes is challenged by polymorphism, metamorphism, obfuscation, encryption, and other techniques. Moreover, signature-based schemes do not work for zero-day (or unknown) malware. On the other hand, anomaly-based detection schemes seek to detect behavior patterns that do not conform to the established normal patterns. Anomaly-based detection schemes do not require malware signatures. However, modern computer software and systems are often complicated, building and analyzing a comprehensive behavior model is time consuming and even impractical. To overcome these challenges, we propose a novel execution-based approach for stealthy malware detection. In order to facilitate such run-time detection, we aim to design and implement multi-level sandboxing techniques to create controlled running environments to execute testing programs so that their behaviors can be closely observed and analyzed. First, we leverage virtual machines for OS-level sandboxing to detect bots on individual hosts. By cloning the host image to a virtual machine and screening user input on the virtual machine, the detection noise is significantly reduced. We find that a typical bot exhibits three invariant features along its onset: (1) the startup of a bot is automatic without requiring any user actions; (2) a bot must establish a command and control channel with its botmaster; and (3) a bot will perform local or remote attacks sooner or later. These invariants indicate three indispensable phases (startup, preparation, and attack) for a bot attack. Thus, we propose BotTracer to detect these three phases with the assistance of OS-level sandboxing techniques. To validate BotTracer, we implement a prototype of BotTracer based on VMware. The results show that BotTracer can successfully detect all the bots in the experiments. However, BotTracer may slightly degrade the user performance. Furthermore, advanced malware could evade BotTracer by performing virtual machine fingerprinting. Second, to overcome the limitations of OS-level sandboxes, we build Malyzer based on process-level sandboxes for malware detection. The key of Malyzer is to defeat malware anti-detection mechanisms at startup and runtime so that malware behaviors during execution can be accurately captured and distinguished. For analysis, Malyzer always starts a copy, referred to as a shadow process, of any suspicious process in the process-level sandbox by defeating all startup anti-detection mechanisms employed in the suspicious process. To defeat internal runtime anti-detection attempts, Malyzer further makes this shadow process mutually invisible to the original suspicious process. To defeat external anti-detection at- tempts, Malyzer makes as if the shadow process runs on a different machine to the outside. Since ultimately malware will conduct local information harvesting or dispersion, Malyzer constantly monitors the shadow processs behaviors and adopts a hybrid scheme for its behavior analysis. In our experiments, Malyzer can accurately detect all malware samples that employ various anti-detection techniques. Lastly, to detect and contain malicious browser plugins, we develop sePlugin with intraprocess sandboxing techniques. With an intra-process sandbox, only plugins are closely monitored for misbehavior detection without confining the entire process. This further reduces the detection overhead while maintaining transparency to end-users. Based on intra-process sandboxing techniques, we build sePlugin to enhance the security of a browser by enforcing security policies on plugins' accessing requests to the browser's internal objects and external system-level resources, such as file systems and network interfaces. sePlugin deals with both native and .NET-based plugins and its unique design renders it possible xii to work with commodity web browsers without requiring any modifications to the legacy browser architecture or plugin code. We implement sePlugin in Windows XP and IE8.
Computer Security Esorics 2017
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Author : Simon N. Foley
language : en
Publisher: Springer
Release Date : 2017-09-01
Computer Security Esorics 2017 written by Simon N. Foley and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-01 with Computers categories.
The two-volume set, LNCS 10492 and LNCS 10493 constitutes the refereed proceedings of the 22nd European Symposium on Research in Computer Security, ESORICS 2017, held in Oslo, Norway, in September 2017. The 54 revised full papers presented were carefully reviewed and selected from 338 submissions. The papers address issues such as data protection; security protocols; systems; web and network security; privacy; threat modeling and detection; information flow; and security in emerging applications such as cryptocurrencies, the Internet of Things and automotive.
Detection Of Intrusions And Malware And Vulnerability Assessment
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Author : Juan Caballero
language : en
Publisher: Springer
Release Date : 2016-06-17
Detection Of Intrusions And Malware And Vulnerability Assessment written by Juan Caballero and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2016, held in San Sebastián, Spain, in July 2016. The 19 revised full papers and 2 extended abstracts presented were carefully reviewed and selected from 66 submissions. They present the state of the art in intrusion detection, malware analysis, and vulnerability assessment, dealing with novel ideas, techniques, and applications in important areas of computer security including vulnerability detection, attack prevention, web security, malware detection and classification, authentication, data leakage prevention, and countering evasive techniques such as obfuscation.
Malware Detection
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Author : Mihai Christodorescu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06
Malware Detection written by Mihai Christodorescu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.
This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.
Android Malware
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Author : Xuxian Jiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-13
Android Malware written by Xuxian Jiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-13 with Computers categories.
Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns. Android Malware presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform. Covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques.
Honeypot Frameworks And Their Applications A New Framework
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Author : Chee Keong NG
language : en
Publisher: Springer
Release Date : 2018-05-08
Honeypot Frameworks And Their Applications A New Framework written by Chee Keong NG and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Computers categories.
This book presents the latest research on honeypots and their applications. After introducing readers to the basic concepts of honeypots and common types, it reviews various honeypot frameworks such as web-server-based, client-based, shadow and artificially intelligent honeypots. In addition, it offers extensive information on the contribution of honeypots in some of the most popular malware research area such as DDoS, Worm, APT, forensics and Bot attacks. The book subsequently tackles the issue of honeypot countermeasures, shows many of the tricks often used by hackers to discover honeypots, and proposes a counter-countermeasure to help conceal them. It then puts forward a new framework that integrates various novel concepts, and which can feasibly be used for the detection of potential ransomware and bitcoin. As such, the book provides non-experts with a concise guide to honeypots, and will also benefit practitioners working on security systems.
Examining Cybersecurity Risks Produced By Generative Ai
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Author : Almomani, Ammar
language : en
Publisher: IGI Global
Release Date : 2025-05-01
Examining Cybersecurity Risks Produced By Generative Ai written by Almomani, Ammar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.
As generative artificial intelligence (AI) evolves, it introduces new opportunities across industries, from content creation to problem-solving. However, with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI, capable of producing text, images, code, and deepfakes, presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks, create sophisticated phishing schemes, or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments, highlighting the need for new protocols, regulations, and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity, presenting its applications, potential risks, and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive, up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes, smart cities, and phishing attacks, and is a useful resource for computer engineers, security professionals, business owners, policymakers, academicians, researchers, and data scientists.
Post Quantum Security For Ai
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Author : Petar Radanliev
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-07-23
Post Quantum Security For Ai written by Petar Radanliev and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with categories.
Prepare for the future of cybersecurity--where quantum computing and AGI collide to reshape the rules of digital defense. Quantum computing and Artificial General Intelligence (AGI) are poised to revolutionize the digital world--but they also introduce unprecedented security risks. These advancements have the potential to break modern encryption, manipulate digital identities, and bypass traditional cybersecurity defenses, leaving financial systems, government records, and private data dangerously exposed. In Post-Quantum Security for AI, industry expert Petar Radanliev provides a comprehensive guide to safeguarding digital infrastructure against quantum and AI-driven cyber threats. This essential resource explores the vulnerabilities posed by quantum computing, the evolving risks of AGI, and the next-generation cryptographic solutions designed to counteract them. Readers will gain insight into quantum-resistant encryption, decentralized digital identity management, blockchain security strategies, and real-world implementation frameworks for enterprises and governments. With a unique dual focus on AGI and quantum threats--areas often treated separately--this book delivers practical, forward-looking security strategies backed by case studies and expert analysis. Whether you're a cybersecurity professional, IT leader, policymaker, cryptographer, or developer, this book equips you with the critical knowledge and tools to navigate the future of digital security. The security landscape is changing fast—are you ready for it? The security landscape is evolving--equip yourself now, before the future arrives unencrypted.
Redundancy And Reliability In Spacecraft Safety Systems Principles Architectures And Applications
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Author : Edenilson Brandl
language : pt-BR
Publisher: Edenilson Brandl
Release Date :
Redundancy And Reliability In Spacecraft Safety Systems Principles Architectures And Applications written by Edenilson Brandl and has been published by Edenilson Brandl this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
Space exploration represents humanity's boldest endeavor, pushing the limits of technology, science, and courage. This work delves into the critical systems and methodologies that ensure the safety and reliability of spacecraft operating in the unforgiving environment of space. By examining historical developments, state-of-the-art technologies, and innovative strategies, this book seeks to illuminate the intricate balance required between ambition and safety. It is designed for engineers, researchers, and enthusiasts who aspire to understand and advance the principles that keep spacecraft operational and missions successful.
Hacking Exposed Malware Rootkits Security Secrets And Solutions Second Edition
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Author : Christopher C. Elisan
language : en
Publisher: McGraw Hill Professional
Release Date : 2016-12-16
Hacking Exposed Malware Rootkits Security Secrets And Solutions Second Edition written by Christopher C. Elisan and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-16 with Computers categories.
Arm yourself for the escalating war against malware and rootkits Thwart debilitating cyber-attacks and dramatically improve your organization’s security posture using the proven defense strategies in this thoroughly updated guide. Hacking ExposedTM Malware and Rootkits: Security Secrets & Solutions, Second Edition fully explains the hacker’s latest methods alongside ready-to-deploy countermeasures. Discover how to block pop-up and phishing exploits, terminate embedded code, and identify and eliminate rootkits. You will get up-to-date coverage of intrusion detection, firewall, honeynet, antivirus, and anti-rootkit technology. • Learn how malware infects, survives, and propagates across an enterprise • See how hackers develop malicious code and target vulnerable systems • Detect, neutralize, and remove user-mode and kernel-mode rootkits • Use hypervisors and honeypots to uncover and kill virtual rootkits • Defend against keylogging, redirect, click fraud, and identity theft • Block spear phishing, client-side, and embedded-code exploits • Effectively deploy the latest antivirus, pop-up blocker, and firewall software • Identify and stop malicious processes using IPS solutions