Opcode sequences as representation of executables for data-mining-based unknown malware detection
By Igor Santos, Felix Brezo, Xabier Ugarte-Pedrero, Pablo García Bringas. Information Sciences, 2013
445 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/159ba4fade07ff275d4632e998d9a50a41d7c50d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Kim-Kwang Raymond Choo
- Giorgio Severi
- Rahil Hosseini
- V. Varadharajan
- Roberto Baldoni
- Suhuai Luo
- Giorgio Giacinto
- Ali Dehghantanha
In Information Systems
- V. Varadharajan
- Roberto Baldoni
- Giorgio Giacinto
- Ali Dehghantanha
- Leonardo Aniello
- Scott E. Coull
- Alireza Souri
- Kim-Kwang Raymond Choo
In Signal Processing
- Kim-Kwang Raymond Choo
- Giorgio Severi
- Rahil Hosseini
- Dmitry Ulyanov
- V. Varadharajan
- Roberto Baldoni
- Giorgio Giacinto
- Ali Dehghantanha
Citations in the corpus
- A state-of-the-art survey of malware detection approaches using data mining techniques (2018, background): “[35] proposed another strategy to identify obscure malware families.”
- Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning (2019, methodology): “[14] used the frequency of a specific OpCode appearance in benign and malicious Windows applications as a feature for Decision Tree, Support Vector Machine,”
- Exploring Backdoor Poisoning Attacks Against Malware Classifiers (2020, background): “With the shift towards machine learning (ML) based classifiers, this second group has been split into two additional subcategories: feature based detectors [10, 37, 41, 42, 45], and raw-binary analyzers [21, 31, 39].”
- Survey on the Usage of Machine Learning Techniques for Malware Analysis (2017, methodology): “Branch instruction, count, privileged instruction count, and memory instruction count [4] Math instruction count, logic instruction count, stack instruction count, NOP instruction count, and other instruction count [4, 40] Sequences of length 1 and 2 [65] Instruction frequencies [1, 40] Data dene i”
- A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, methodology): “Authors in [544], [582]–[584] applied feature selection and claimed better accuracy in the detection of malware.”
- Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification (2015, background): “As far as a very high number of malware variants is concerned, the need for the automation of this process is clear-cut.”