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Visualizing compiled executables for malware analysis [PDF]
2009 6th International Workshop on Visualization for Cyber Security, 2009 Reverse engineering compiled executables is a task with a steep learning curve. It is complicated by the task of translating assembly into a series of abstractions that represent the overall flow of a program. Most of the steps involve finding interesting areas of an executable and determining their overall functionality.
Daniel A. Quist, Lorie M. Liebrock
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A New Learning Approach to Malware Classification Using Discriminative Feature Extraction
IEEE Access, 2019 With the development of the Internet, malware has become one of the most significant threats. Recognizing specific types of malware is an important step toward effective removal.
Ya-shu Liu +3 more
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Review of malware detection and classification visualization techniques
网络与信息安全学报, 2023 With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection ...
Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA
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Malware Detection Using Binary Visualization and Neural Networks [PDF]
E3S Web of Conferences, 2023 Any programme or code that is damaging to our systems or networks is known as Malware or malicious software. Malware attempts to infiltrate, damage, or destroy our gadgets such as computers, networks, tablets, and so on. Malware may also grant partial or
Jonnala Yamini Devi +4 more
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Frontiers in Plant Science, 2023 Due to developments in science and technology, the field of plant protection and the information industry have become increasingly integrated, which has resulted in the creation of plant protection information systems.
Zhiguo Chen +5 more
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Classification and Analysis of Android Malware Images Using Feature Fusion Technique
IEEE Access, 2021 The super packed functionalities and artificial intelligence (AI)-powered applications have made the Android operating system a big player in the market.
Jaiteg Singh +5 more
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Benign-salient Region Based End-to-End Adversarial Malware Generation Method [PDF]
Jisuanji kexueMalware detection methods combining visualization techniques and deep learning have gained widespread attention due to their high accuracy and low cost.However,deep learning models are vulnerable to adversarial attacks,where intentional small-scale ...
YUAN Mengjiao, LU Tianliang, HUANG Wanxin, HE Houhan
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A Classification System for Visualized Malware Based on Multiple Autoencoder Models
IEEE Access, 2021 In this paper, we propose a classification system that uses multiple autoencoder models for identifying malware images. It is crucial to accurately classify malware before we can deploy appropriate countermeasures to prevent them from spreading.
Jongkwan Lee, Jongdeog Lee
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Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns
IEEE Access, 2023 In this paper, we propose a new framework for classifying and visualizing malware files using subspace-based methods. The rise of advanced malware poses a significant threat to internet security, increasing the pressure on traditional cybersecurity ...
Djafer Yahia M Benchadi +2 more
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Cybercopters Swarm: Immersive analytics for alerts classification based on periodic data
Frontiers in Virtual Reality, 2023 This paper assesses the usefulness of an interactive and navigable 3D environment to help decision-making in cybersecurity. Malware programs frequently emit periodic signals in network logs; however, normal periodical network activities, such as software
Nicolas Delcombel +2 more
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