Výsledky vyhledávání - JavaScript malicious code

  1. 1

    JACLNet:Application of adaptive code length network in JavaScript malicious code detection Autor Zhang, Zhining, Wan, Liang, Chu, Kun, Li, Shusheng, Wei, Haodong, Tang, Lu

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 14.12.2022
    Vydáno v PloS one (14.12.2022)
    “…Currently, JavaScript malicious code detection methods are becoming more and more…”
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  2. 2

    Detection of Obfuscated Malicious JavaScript Code Autor Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

    ISSN: 1999-5903, 1999-5903
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v Future internet (01.08.2022)
    “…Websites on the Internet are becoming increasingly vulnerable to malicious JavaScript code because of its strong impact and dramatic effect…”
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  3. 3

    Detecting malicious JavaScript code based on semantic analysis Autor Fang, Yong, Huang, Cheng, Su, Yu, Qiu, Yaoyao

    ISSN: 0167-4048, 1872-6208
    Vydáno: Amsterdam Elsevier Ltd 01.06.2020
    Vydáno v Computers & security (01.06.2020)
    “… However, attackers use the dynamics feature of JavaScript language to embed malicious code into web pages for the purpose of drive-by-download, redirection, etc…”
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  4. 4

    Malicious JavaScript Code Detection Based on Hybrid Analysis Autor He, Xincheng, Xu, Lei, Cha, Chunliu

    ISSN: 2640-0715
    Vydáno: IEEE 01.12.2018
    “… However, since the heavy use of obfuscation techniques, many methods no longer apply to malicious JavaScript code detection, and it has been a huge challenge to de-obfuscate obfuscated malicious Java…”
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  5. 5

    JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network Autor Fang, Yong, Huang, Chaoyi, Zeng, Minchuan, Zhao, Zhiying, Huang, Cheng

    ISSN: 0167-4048, 1872-6208
    Vydáno: Amsterdam Elsevier Ltd 01.07.2022
    Vydáno v Computers & security (01.07.2022)
    “… However, the attacker uses the dynamic characteristics of the JavaScript language to embed malicious code into web pages to achieve the purpose of smuggling, redirection, and so on…”
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  6. 6

    Analysis and Identification of Malicious JavaScript Code Autor Fraiwan, Mohammad, Al-Salman, Rami, Khasawneh, Natheer, Conrad, Stefan

    ISSN: 1939-3555, 1939-3547
    Vydáno: Taylor & Francis Group 01.01.2012
    Vydáno v Information security journal. (01.01.2012)
    “…Malicious JavaScript code has been actively and recently utilized as a vehicle for Web-based security attacks…”
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  7. 7

    Detection Approach of Malicious JavaScript Code Based on deep learning Autor Zheng, Liyuan, Zhang, Dongcheng, Xie, Xin, Wang, Chen, Hou, Boyuan

    Vydáno: IEEE 26.05.2023
    “…Traditional machine learning methods for detecting JavaScript malicious code have the problems of complex feature extraction process, extensive computation, and difficult detection due to malicious…”
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  8. 8

    MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection Autor Ishida, Minato, Kaneko, Naoshi, Sumi, Kazuhiko

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.04.2023
    Vydáno v Applied soft computing (01.04.2023)
    “… Many malicious JavaScript detection methods perform code abstraction and prior feature extraction to uncover the functionality hidden by obfuscation…”
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  9. 9

    A Protection Mechanism against Malicious HTML and JavaScript Code in Vulnerable Web Applications Autor Chai, Chuansen, Zhao, Xu, Wang, Qingxian, Yan, Xuexiong, Liu, Shukai, Sun, Yajing

    ISSN: 1024-123X, 1563-5147
    Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016
    Vydáno v Mathematical problems in engineering (01.01.2016)
    “…The high-profile attacks of malicious HTML and JavaScript code have seen a dramatic increase in both awareness and exploitation in recent years…”
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  10. 10

    自编码网络在JavaScript恶意代码检测中的应用研究 Autor 龙廷艳, 万良, 丁红卫

    ISSN: 1673-9418
    Vydáno: 贵州大学 计算机软件与理论研究所,贵阳 550025 01.12.2019
    Vydáno v 计算机科学与探索 (01.12.2019)
    “…TP391; 针对传统机器学习特征提取方法很难发掘JavaScript恶意代码深层次本质特征的问题,提出基于堆栈式稀疏降噪自编码网络(sSDAN)的JavaScript恶意代码检测方法.首先将JavaScript恶意代码进行数值化处理,然后在自编码网络的基础上加入稀疏性限制,同时加入一定概率分布的噪声进行染噪的学习训练…”
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  11. 11

    The power of obfuscation techniques in malicious JavaScript code: A measurement study Autor Wei Xu, Fangfang Zhang, Sencun Zhu

    ISBN: 9781467348805, 1467348805
    Vydáno: IEEE 01.10.2012
    “… Since most of the Internet users rely on anti-virus software to protect themselves from malicious JavaScript code, attackers exploit JavaScript obfuscation techniques to evade the detection of anti-virus software…”
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  12. 12

    PDF Malicious Indicators Extraction Technique Based on Improved Symbolic Execution Autor Song, Enzhou, Hu, Tao, Yi, Peng, Wang, Wenbo

    ISSN: 1002-137X
    Vydáno: Chongqing Guojia Kexue Jishu Bu 01.07.2024
    Vydáno v Ji suan ji ke xue (01.07.2024)
    “…The malicious PDF document is a common attack method used by APT organizations.Analyzing extracted indicators of embedded JavaScript code is an important means to determine the maliciousness…”
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  13. 13

    Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation Autor Rozi, Muhammad Fakhrur, Ban, Tao, Ozawa, Seiichi, Yamada, Akira, Takahashi, Takeshi, Kim, Sangwook, Inoue, Daisuke

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2023
    Vydáno v IEEE Access (2023)
    “…Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities…”
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  14. 14

    Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset Autor Mimura, Mamoru, Suga, Yuya

    Vydáno: IEEE 01.08.2019
    “…Drive-by download attacks are one of main threats on the Internet. Several detection methods are to build run-time environments that allow JavaScript code to run and track its behavior while it runs…”
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  15. 15

    Detecting malicious JavaScript code in Mozilla Autor Hallaraker, O., Vigna, G.

    ISBN: 076952284X, 9780769522845
    Vydáno: IEEE 2005
    “…). We propose an approach to solve this problem that is based on monitoring JavaScript code execution and comparing the execution to high-level policies, to detect malicious code behavior…”
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  16. 16

    Spider bird swarm algorithm with deep belief network for malicious JavaScript detection Autor Alex, Scaria, Dhiliphan Rajkumar, T

    ISSN: 0167-4048, 1872-6208
    Vydáno: Amsterdam Elsevier Ltd 01.08.2021
    Vydáno v Computers & security (01.08.2021)
    “… However, the flexibility of JavaScript made these applications more prone to attacks that induce malicious behaviors in the code…”
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  17. 17

    A Survey on Current Malicious JavaScript Behavior of infected Web Content in Detection of Malicious Web pages Autor Nurulsafawati Wan Manan, Wan, Nizam Mohmad Kahar, Mohd, Mohd Ali, Noorlin

    ISSN: 1757-8981, 1757-899X
    Vydáno: Bristol IOP Publishing 01.02.2020
    “… With the improvement of web technologies enable attackers to launch the web-based attacks and other malicious code easily without having prior expert knowledge…”
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  18. 18

    JavaScript Malicious Codes Analysis Based on Naive Bayes Classification Autor Yongle Hao, Hongliang Liang, Daijie Zhang, Qian Zhao, Baojiang Cui

    Vydáno: IEEE 01.11.2014
    “…Given the security threats of JavaScript malicious codes attacks in the Internet environment, this paper presents a method that uses the Naive Bayes classification to analyze JavaScript malicious codes…”
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  19. 19

    Behavior Analysis Usage with Behavior Tures Adoption for Malicious Code Detection on JAVASCRIPT Scenarios Example Autor Y. M. Tumanov, S.V. Gavrilyuk

    ISSN: 2074-7128, 2074-7136
    Vydáno: Joint Stock Company "Experimental Scientific and Production Association SPELS 01.03.2010
    “…The article offers the method of malicious JavaScript code detection, based on behavior analysis…”
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  20. 20

    AMA: Static Code Analysis of Web Page for the Detection of Malicious Scripts Autor Seshagiri, Prabhu, Vazhayil, Anu, Sriram, Padmamala

    ISSN: 1877-0509, 1877-0509
    Vydáno: Elsevier B.V 2016
    Vydáno v Procedia computer science (2016)
    “… To defend against obfuscated malicious JavaScript code, we propose a mostly…”
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