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Space Traveling across VM: Automatically Bridging the Semantic Gap in Virtual Machine Introspection via Online Kernel Data Redirection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/acsac.2007.10openalex-snapshot
Secure and Flexible Monitoring of Virtual Machines
inferredcites →https://doi.org/10.1109/dsn.2010.5544305openalex-snapshot
Reuse-oriented camouflaging trojan: Vulnerability detection and attack construction
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When virtual is better than real [operating system relocation to virtual machines]
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Second-LSB-Dependent Robust Watermarking for Relational Database
inferredcites →https://doi.org/10.1109/ias.2007.36openalex-snapshot
Building Trustworthy Intrusion Detection through VM Introspection
inferredcites →https://doi.org/10.1109/mc.2005.176openalex-snapshot
Virtual machine monitors: current technology and future trends
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A sense of self for Unix processes
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Lares: An Architecture for Secure Active Monitoring Using Virtualization
inferredcites →https://doi.org/10.1109/sp.2010.10openalex-snapshot
Inspector Gadget: Automated Extraction of Proprietary Gadgets from Malware Binaries
inferredcites →https://doi.org/10.1109/sp.2011.11openalex-snapshot
Virtuoso: Narrowing the Semantic Gap in Virtual Machine Introspection
inferredcites →https://doi.org/10.1109/srds.2010.39openalex-snapshot
DKSM: Subverting Virtual Machine Introspection for Fun and Profit
inferredcites →https://doi.org/10.1145/1315245.1315262openalex-snapshot
Stealthy malware detection through vmm-based "out-of-the-box" semantic view reconstruction
inferredcites →https://doi.org/10.1145/1368506.1368517openalex-snapshot
Forensics examination of volatile system data using virtual introspection
inferredcites →https://doi.org/10.1145/1653662.1653729openalex-snapshot
Mapping kernel objects to enable systematic integrity checking
inferredcites →https://doi.org/10.1145/1653662.1653730openalex-snapshot
Robust signatures for kernel data structures
inferredcites →https://doi.org/10.1184/r1/6468716openalex-snapshot
Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software
inferredcites →https://doi.org/10.1184/r1/6469127openalex-snapshot
Panorama: Capturing System-Wide Information Flow for Malware Detection and Analysis
inferredcites →https://doi.org/10.21236/ada538737openalex-snapshot
Binary Code Extraction and Interface Identification for Security Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Natch: using virtual machine introspection and taint analysis for detection attack surface of the software
inferred← citeshttps://doi.org/10.18130/v37027openalex-snapshot
Transparent System Introspection in Support of Analyzing Stealthy Malware
inferred← citeshttps://doi.org/10.2197/ipsjtrans.7.157openalex-snapshot
Co-migration of Virtual Machines with Synchronization for IDS Offloading
inferred← citeshttps://doi.org/10.23919/date.2017.7927236openalex-snapshot
Hardware-based on-line intrusion detection via system call routine fingerprinting
inferred← citeshttps://doi.org/10.23919/date.2018.8342267openalex-snapshot
Hardware-assisted rootkit detection via on-line statistical fingerprinting of process execution
inferred← citeshttps://doi.org/10.2991/ameii-15.2015.195openalex-snapshot
Research on the Tracking Algorithm of Program Level Fine-grained Data based on Cloud Virtual Environment
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.5528openalex-snapshot
Improving Memory Forensics Through Emulation and Program Analysis
inferred← citeshttps://doi.org/10.3837/tiis.2017.03.026openalex-snapshot
Lightweight Intrusion Detection of Rootkit with VMI-Based Driver Separation Mechanism
inferred← citeshttps://doi.org/10.70675/39d39f48zbd98z4097za6c0z38c0b0f75653openalex-snapshot
A Zero-Knowledge Approach to Memory Forensics
inferred← citeshttps://doi.org/10.70675/db7edbadz5820z483az9d50ze3a8e121ad25openalex-snapshot
Semantic monitoring mechanisms dedicated to security monitoring in IaaS cloud
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