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Normalizing Metamorphic Malware Using Term Rewriting
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11663812_11openalex-snapshot
Polymorphic Worm Detection Using Structural Information of Executables
inferredcites →https://doi.org/10.1007/978-3-642-81955-1_23openalex-snapshot
Simple Word Problems in Universal Algebras
inferredcites →https://doi.org/10.1007/s11416-005-0002-9openalex-snapshot
Malware phylogeny generation using permutations of code
inferredcites →https://doi.org/10.1016/0167-4048(89)90089-8openalex-snapshot
Computational aspects of computer viruses
inferredcites →https://doi.org/10.1016/j.entcs.2004.11.006openalex-snapshot
TXL - A Language for Programming Language Tools and Applications
inferredcites →https://doi.org/10.1016/s1571-0661(04)00270-1openalex-snapshot
A Survey of Rewriting Strategies in Program Transformation Systems
inferredcites →https://doi.org/10.1109/csac.2004.37openalex-snapshot
Static Analyzer of Vicious Executables (SAVE)
inferredcites →https://doi.org/10.1109/tit.2002.806137openalex-snapshot
Reliable identification of bounded-length viruses is NP-complete
inferredcites →https://doi.org/10.1109/wcre.2004.24openalex-snapshot
Imposing order on program statements to assist anti-virus scanners
inferredcites →https://doi.org/10.1145/242857.242869openalex-snapshot
Computer virus-antivirus coevolution
inferredcites →https://doi.org/10.5860/choice.43-1613openalex-snapshot
The art of computer virus research and defense
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Software Similarity and Classification
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Deceiving ML-Based Friend-or-Foe Identification for Executables
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Capturing the Essence of Practical Obfuscation
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LSB Replacement Steganography Software Detection Based on Model Checking
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Metamorphic Malware Detection Using LLVM IR and Hidden Markov Model
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Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme
inferred← citeshttps://doi.org/10.1007/s10489-017-1045-6openalex-snapshot
An entropy-based distance measure for analyzing and detecting metamorphic malware
inferred← citeshttps://doi.org/10.1007/s10990-011-9080-1openalex-snapshot
Context-sensitive analysis without calling-context
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Software transformations to improve malware detection
inferred← citeshttps://doi.org/10.1007/s11416-008-0081-5openalex-snapshot
Constructing malware normalizers using term rewriting
inferred← citeshttps://doi.org/10.1007/s11416-008-0084-2openalex-snapshot
Code obfuscation techniques for metamorphic viruses
inferred← citeshttps://doi.org/10.1007/s11416-008-0094-0openalex-snapshot
Detection of metamorphic and virtualization-based malware using algebraic specification
inferred← citeshttps://doi.org/10.1007/s11416-008-0102-4openalex-snapshot
Architecture of a morphological malware detector
inferred← citeshttps://doi.org/10.1007/s11416-008-0105-1openalex-snapshot
Profile hidden Markov models and metamorphic virus detection
inferred← citeshttps://doi.org/10.1007/s11416-009-0136-2openalex-snapshot
From the design of a generic metamorphic engine to a black-box classification of antivirus detection techniques
inferred← citeshttps://doi.org/10.1007/s11416-013-0183-6openalex-snapshot
Detecting machine-morphed malware variants via engine attribution
inferred← citeshttps://doi.org/10.1016/j.csi.2009.04.004openalex-snapshot
Exploiting an antivirus interface
inferred← citeshttps://doi.org/10.1109/cicybs.2009.4925095openalex-snapshot
Using qualia and multi-layered relationships in malware detection
inferred← citeshttps://doi.org/10.1109/cis.workshops.2007.215openalex-snapshot
Normalization towards Instruction Substitution Metamorphism Based on Standard Instruction Set
inferred← citeshttps://doi.org/10.1109/cisw.2007.4425615openalex-snapshot
Normalization towards Instruction Substitution Metamorphism Based on Standard Instruction Set
inferred← citeshttps://doi.org/10.1109/csnt.2015.62openalex-snapshot
DaCoMM: Detection and Classification of Metamorphic Malware
inferred← citeshttps://doi.org/10.1109/eisic.2012.34openalex-snapshot
A Machine Learning Approach to Android Malware Detection
inferred← citeshttps://doi.org/10.1109/iccsn.2009.145openalex-snapshot
Metamorphic Viruses Detection Using Artificial Immune System
inferred← citeshttps://doi.org/10.1109/icdsca67083.2025.11350252openalex-snapshot
MinHash Signatures and Extreme Learning Machine Ensemble for Lightweight Malware Detection in Power Grid Systems
inferred← citeshttps://doi.org/10.1109/icmla.2012.70openalex-snapshot
Binary Function Clustering Using Semantic Hashes
inferred← citeshttps://doi.org/10.1109/icsm.2009.5306329openalex-snapshot
Detecting virus mutations via dynamic matching
inferred← citeshttps://doi.org/10.1109/iri49571.2020.00014openalex-snapshot
Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery
inferred← citeshttps://doi.org/10.1109/malware.2008.4690851openalex-snapshot
Morphological detection of malware
inferred← citeshttps://doi.org/10.1109/malware.2008.4690861openalex-snapshot
Using Markov chains to filter machine-morphed variants of malicious programs
inferred← citeshttps://doi.org/10.1109/malware.2013.6703695openalex-snapshot
Static malware detection with Segmented Sandboxing
inferred← citeshttps://doi.org/10.1109/malware.2015.7413685openalex-snapshot
Segmented sandboxing - A novel approach to Malware polymorphism detection
inferred← citeshttps://doi.org/10.1109/milcom.2011.6127478openalex-snapshot
Non-normalizable functions: A new method to generate metamorphic malware
inferred← citeshttps://doi.org/10.1109/msp.2007.31openalex-snapshot
Code Normalization for Self-Mutating Malware
inferred← citeshttps://doi.org/10.1109/scam.2007.10openalex-snapshot
On Temporal Path Conditions in Dependence Graphs
inferred← citeshttps://doi.org/10.1109/scam.2007.15openalex-snapshot
Fast Approximate Matching of Programs for Protecting Libre/Open Source Software by Using Spatial Indexes
inferred← citeshttps://doi.org/10.1109/scam.2011.15openalex-snapshot
Equational Reasoning on x86 Assembly Code
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Control Flow-Based Malware VariantDetection
inferred← citeshttps://doi.org/10.1109/trustcom.2011.26openalex-snapshot
Malware Variant Detection Using Similarity Search over Sets of Control Flow Graphs
inferred← citeshttps://doi.org/10.1117/12.821082openalex-snapshot
Using qualia and novel representations in malware detection
inferred← citeshttps://doi.org/10.1145/1179542.1179558openalex-snapshot
Using engine signature to detect metamorphic malware
inferred← citeshttps://doi.org/10.1145/1190215.1190270openalex-snapshot
A semantics-based approach to malware detection
inferred← citeshttps://doi.org/10.1145/1314389.1314397openalex-snapshot
Statistical signatures for fast filtering of instruction-substituting metamorphic malware
inferred← citeshttps://doi.org/10.1145/1387673.1387674openalex-snapshot
A semantics-based approach to malware detection
inferred← citeshttps://doi.org/10.1145/1706356.1706381openalex-snapshot
Context-sensitive analysis of obfuscated x86 executables
inferred← citeshttps://doi.org/10.1145/1774088.1774505openalex-snapshot
Detecting metamorphic malwares using code graphs
inferred← citeshttps://doi.org/10.1145/1858378.1858443openalex-snapshot
Malware detection using assembly code and control flow graph optimization
inferred← citeshttps://doi.org/10.1145/2388576.2388594openalex-snapshot
Mining control flow graph as API call-grams to detect portable executable malware
inferred← citeshttps://doi.org/10.1145/2886012openalex-snapshot
Protecting Software through Obfuscation
inferred← citeshttps://doi.org/10.1145/3433210.3453086openalex-snapshot
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
inferred← citeshttps://doi.org/10.1524/itit.2012.0664openalex-snapshot
Reverse Code Engineering — State of the Art and Countermeasures
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Algebra-Algorithmic Models and Methods of Parallel Programing
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ANDROID MOBILE PLATFORM SECURITY AND MALWARE SURVEY
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Security and Privacy Issues in Cloud-Based E-Government
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Security and Privacy Issues in Cloud-Based E-Government
inferred← citeshttps://doi.org/10.4230/dagsemproc.06301.14openalex-snapshot
The Software Similarity Problem in Malware Analysis
inferred← citeshttps://doi.org/10.52700/jn.v4i2.90openalex-snapshot
Effectiveness Of Detecting Android Malware Using Deep Learning Techniques
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Adapting Call-string Approach for x86 Obfuscated Binaries
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Detecção de variações de malware metamórfico por meio de normalização de código e identificação de subfluxos
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