Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
MLPXSS: an integrated XSS-based attack detection scheme in web applications using multilayer perceptron technique
Dynamic web applications play a vital role in providing resources manipulation and
interaction between clients and servers. The features presently supported by browsers have …
interaction between clients and servers. The features presently supported by browsers have …
[PDF][PDF] XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters …
FMM Mokbal, D Wang, X Wang, W Zhao, L Fu - J. Inf. Secur. Appl., 2021 - researchgate.net
With the widespread popularity of the Internet and the transformation of the world into a
global village, Web applications have been drawn increased attention over the years by …
global village, Web applications have been drawn increased attention over the years by …
Amsi-based detection of malicious powershell code using contextual embeddings
PowerShell is a command-line shell, supporting a scripting language. It is widely used in
organizations for configuration management and task automation but is also increasingly …
organizations for configuration management and task automation but is also increasingly …
MNN-XSS: Modular neural network based approach for XSS attack detection
The rapid growth and uptake of network-based communication technologies have made
cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A …
cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A …
[PDF][PDF] A hybrid of CNN and LSTM methods for securing web application against cross-site scripting attack
RW Kadhim, MT Gaata - Indones. j. electr. eng. comput. sci, 2020 - academia.edu
Cross-site scripting (XSS) is today one of the biggest threatthat could targeting the Web
application. Based on study published by the open web applications security project …
application. Based on study published by the open web applications security project …
Robust neural malware detection models for emulation sequence learning
Malicious software, or malware, presents a continuously evolving challenge in computer
security. These embedded snippets of code in the form of malicious files or hidden within …
security. These embedded snippets of code in the form of malicious files or hidden within …
Amsi-based detection of malicious powershell code using contextual embeddings
PowerShell is a command-line shell, supporting a scripting language. It is widely used in
organizations for configuration management and task automation but is also increasingly …
organizations for configuration management and task automation but is also increasingly …
Adalward: a deep-learning framework for multi-class malicious webpage detection
ABSTRACT A global village is what the father of digital media and communications,
Marshall McLuhan had dreamt of in the late 1970s. In June 2017, reaching over 51.7% of …
Marshall McLuhan had dreamt of in the late 1970s. In June 2017, reaching over 51.7% of …
Windows reverse TCP attack: the threat of out-of-date machinery
M Tigner, H Wimmer… - 2021 5th International …, 2021 - ieeexplore.ieee.org
As computers continue to play a more critical role in everyday life, it becomes ever more
important to secure the devices to which we entrust our personal and private data. This …
important to secure the devices to which we entrust our personal and private data. This …
Detection of malicious Vbscript using static and dynamic analysis with recurrent deep learning
Attackers have used malicious VBScripts as an important computer infection vector. In this
study, we explore a system that employs both static and dynamic analysis to detect …
study, we explore a system that employs both static and dynamic analysis to detect …