Abstract
No public abstract is available from the verified source records.
Çağatay Yücel, Ahmet Koltuksuz
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
A new approach to malware detection by comparative analysis of data structures in a memory image
2015
Automated classification and analysis of internet malware
10.1007/978-3-540-74320-0_10 · 2007
Memory access patterns for malware detection
2016
Jump-oriented programming
2011
Detecting self-mutating malware using control-flow graph matching
2006
Malware classification using self organising feature maps and machine activity data
10.1016/j.cose.2017.11.016 · 2018
Towards paving the way for large-scale Windows malware analysis: generic binary unpacking with orders-of-magnitude performance boost
2018
Static analysis of executables to detect malicious patterns
2003
Kam1n0: MapReduce-based assembly clone search for reverse engineering
2016
Scalable code clone search for malware analysis
10.1016/j.diin.2015.06.001 · 2015
Malware analysis and classification: a survey
2014
MalDozer: automatic framework for android malware detection using deep learning
10.1016/j.diin.2018.01.007 · 2018
Effective and efficient malware detection at the end host
2009
Deep learning for classification of malware system call sequences
2016
Learning to detect and classify malicious executables in the wild
2006
Capturing malware propagations with code injections and code-reuse attacks
2017
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
2014
Pin: building customized program analysis tools with dynamic instrumentation
2005
Limits of static analysis for malware detection
2007
A behavior-based approach for malware detection
10.1007/978-3-319-67208-3_11 · 2017
Automated malware detection using artifacts in forensic memory images
2016
Evaluation of machine learning classifiers for mobile malware detection
10.1007/s00500-014-1511-6 · 2016
Dynamic taint analysis for automatic detection, analysis, and signature generation of exploits on commodity software
2005
Auto-detection of sophisticated malware using lazy-binding control flow graph and deep learning
10.1016/j.cose.2018.02.006 · 2018
Malware identification using visualization images and deep learning
10.1016/j.cose.2018.04.005 · 2018
Fast malware classification by automated behavioral graph matching
2010
Deriving common malware behavior through graph clustering
10.1016/j.cose.2013.09.006 · 2013
Unresolved referenced work
2011
Analysis of malware behavior: type classification using machine learning
2015
Opcode sequences as representation of executables for data-mining-based unknown malware detection
10.1016/j.ins.2011.08.020 · 2013
Deep neural network based malware detection using two dimensional binary program features
2015
Data mining methods for detection of new malicious executables
2001
Detecting unknown malicious code by applying classification techniques on OpCode patterns
10.1186/2190-8532-1-1 · 2012
Integrated static and dynamic analysis for malware detection
10.1016/j.procs.2015.02.149 · 2015
Extracting Windows command line details from physical memory
10.1016/j.diin.2010.05.008 · 2010
Unresolved referenced work
2014
Malware detection and classification based on extraction of API sequences
2014
Image quality assessment: from error visibility to structural similarity
10.1109/tip.2003.819861 · 2004
Revealing packed malware
10.1109/msp.2008.126 · 2008
No additional external references are available.