Malware prediction technique based on program gene

Malware prediction technique based on program gene

With the development of Internet technology,malicious programs have risen explosively.In the face of executable files without source,the current mainstream malware detection uses feature detection based on similarity,with lack of analysis of malicious sources.To resolve this status,the definition of...

Full description

Saved in:

Bibliographic Details
Main Authors:	Da XIAO, Bohan LIU, Baojiang CUI, Xiaochen WANG, Suoxing ZHANG
Format:	Article
Language:	English
Published:	POSTS&TELECOM PRESS Co., LTD 2018-08-01
Series:	网络与信息安全学报
Subjects:	program gene dynamic analysis basic block malware prediction
Online Access:	http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018069
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques
by: Yadigar Imamverdiyev, et al.
Published: (2025-01-01)

Transformer-based malware detection using process resource utilization metrics
by: Dimosthenis Natsos, et al.
Published: (2025-03-01)

HoneyBow:an automated malware collection tool based on the high-interaction honeypot principle
by: ZHUGE Jian-wei1, et al.
Published: (2007-01-01)

A Survey on Adversarial Attacks for Malware Analysis
by: Kshitiz Aryal, et al.
Published: (2025-01-01)

MALVADA: A framework for generating datasets of malware execution traces
by: Razvan Raducu, et al.
Published: (2025-05-01)

Method of anti-confusion texture feature descriptor for malware images
by: Yashu LIU, et al.
Published: (2018-11-01)

HD-SEIRS Malware Propagation Model in Heterogeneous Complex Networks
by: Elham Asadi, et al.
Published: (2024-12-01)

Research on Operators Mobile Malware Protection Architecture and Key Technologies
by: Tao Chen, et al.
Published: (2014-01-01)

Review of malware detection and classification visualization techniques
by: Jinwei WANG, et al.
Published: (2023-10-01)

Study on modern malware analysis system
by: Yi ZHAO, et al.
Published: (2014-10-01)

WSN malware infection model based on cellular automaton and static Bayesian game
by: Hong ZHANG, et al.
Published: (2019-06-01)

Online analytical model of massive malware based on feature clusting
by: Xiao-lin XU, et al.
Published: (2013-08-01)

A novel feature selection technique: Detection and classification of Android malware
by: Sandeep Sharma, et al.
Published: (2025-03-01)

Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior
by: Weifu Zou, et al.
Published: (2014-11-01)

Research on the reverse analyses and monitoring data of Mirai malware botnet
by: Ya-liang CHEN, et al.
Published: (2017-08-01)

Android malware detection based on improved random forest
by: Hong-yu YANG, et al.
Published: (2017-04-01)

Android malware detection method based on SimHash
by: Bo CHEN, et al.
Published: (2017-11-01)

Homology analysis of malware based on graph
by: Bing-lin ZHAO, et al.
Published: (2017-11-01)

Transforming Weakness into Strength: Improving Unreliable Malware Detection Methods
by: Pavel Novak, et al.
Published: (2024-12-01)

MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network
by: Wenjie Guo, et al.
Published: (2025-01-01)

Android malware family classification method based on the image of bytecodeConstruction of MDS matrices
by: Yi-min YANG, et al.
Published: (2016-06-01)

Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game
by: Shigen SHEN, et al.
Published: (2018-09-01)

IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification
by: Dandan Zhang, et al.
Published: (2025-01-01)

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
by: Durmus Ozkan Sahin, et al.
Published: (2022-01-01)

Malware detection approach based on improved SOINN
by: Bin ZHANG, et al.
Published: (2019-12-01)

Scheme for identifying malware traffic with TLS data based on machine learning
by: Ziming LUO, et al.
Published: (2020-02-01)

Malware classification method based on static multiple-feature fusion
by: Bo-wen SUN, et al.
Published: (2017-11-01)

Computer programming in BASIC /
by: Myers, David L.
Published: (1991)

Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance
by: Fauzi Adi Rafrastara, et al.
Published: (2025-01-01)

Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection
by: Brij B. Gupta, et al.
Published: (2025-12-01)

Android malware detection method based on deep neural network
by: Fan CHAO, et al.
Published: (2020-10-01)

Incremental clustering method based on Gaussian mixture model to identify malware family
by: Jianwei HU, et al.
Published: (2019-06-01)

Android Malware Threats: A Strengthened Reverse Engineering Approach to Forensic Analysis
by: Ridho Surya Kusuma, et al.
Published: (2025-01-01)

Game theory-based malware propagation model for wireless sensor network
by: Haiping ZHOU, et al.
Published: (2018-11-01)

The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks
by: Laura Quiroga-Sánchez, et al.
Published: (2025-01-01)

Mobile malware traffic detection approach based on value-derivative GRU
by: Hanxun ZHOU, et al.
Published: (2020-01-01)

Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security
by: Balsam Ridha Habeeb Alsaedi
Published: (2024-12-01)

Android malware detection method based on byte-code image and deep learning
by: Tieming CHEN, et al.
Published: (2019-01-01)

Multi-feature fusion malware detection method based on attention and gating mechanisms
by: Zhongyuan CHEN, et al.
Published: (2024-02-01)

An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices
by: Subir Panja, et al.
Published: (2025-01-01)