Dynamic Analysis of Malicious Code
By Ulrich Bayer, Andreas Moser, Christopher Krügel, Engin Kirda. Journal in Computer Virology, 2006
349 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Software, Signal Processing
View Paper: https://www.semanticscholar.org/paper/0e4a3b6e4235152593113f976f1311392dd3e84c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Pavel Laskov
- Konrad Rieck
- Thorsten Holz
- Moritz Steiner
- Frederic Dahl
- Ernst W. Biersack
- Felix C. Freiling
- Ori Or-Meir
In Software
- Thorsten Holz
- Ori Or-Meir
- S. S. Iyengar
- Konrad Rieck
- D. Adjeroh
- David Brumley
- Divya Bansal
- Yuval Elovici
In Signal Processing
- Pavel Laskov
- Konrad Rieck
- Thorsten Holz
- Divya Bansal
- Sanjeev Sofat
- Ekta Gandotra
- Yuval Elovici
- Lior Rokach
Citations in the corpus
- A Survey on Malware Detection Using Data Mining Techniques (2017, methodology): “— Emulator: TTAnalyze [Bayer et al. 2006a] is a QEMU-based dynamic malware analysis framework that monitors Windows API calls and Windows native system calls, as well as function call parameters.”
- All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but Might Have Been Afraid to Ask) (2010, methodology): “Taint analysis and forward symbolic execution are used to analyze how information flows through a malware binary [5, 6, 64], explore trigger-based behavior [11, 44], and detect emulators [57].”
- Measurements and Mitigation of Peer-to-Peer-based Botnets: A Case Study on Storm Worm (2008, methodology): “Furthermore, we present two different ways to disrupt the communication channel between controller and compromised machines in order to mitigate the botnet and evaluate the effectiveness of these mechanisms.”
- Automatic analysis of malware behavior using machine learning (2011, neutral): “For monitoring the behavior of executable binaries, multiple different methods exist from which the majority is based on the interception of system calls (e.g., [6,7, 14,69]).”
- Malware Analysis and Classification: A Survey (2014, background): “Software that “deliberately fulfills the harmful intent of an attacker” is referred to as malicious software or malware [1].”
- Learning and Classification of Malware Behavior (2008, background): “Dynamic malware analysis techniques have previously focused on obtaining reliable and accurate information on execution of malicious programs [5] [6] [11] [24] [39] [40].”
- Dynamic Malware Analysis in the Modern Era—A State of the Art Survey (2019, methodology): “TTAnalyze [56] is an analysis tool extending the QEMU emulator with an in-guest component referred to as Inside the Matrix ( InsideTM ), which translates virtual addresses to physical ones.”
- A Malware Instruction Set for Behavior-Based Analysis (2010, background): “But there are also comprehensive analysis suites, which perform an overall monitoring of all of the malware's operations [2] [12] [14].”