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
Ransomware classification and detection with machine learning algorithms
Malicious attacks, malware, and ransomware families pose critical security issues to
cybersecurity, and it may cause catastrophic damages to computer systems, data centers …
cybersecurity, and it may cause catastrophic damages to computer systems, data centers …
[HTML][HTML] MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations
Malware attacks continue to evolve, making detection challenging for traditional static and
dynamic analysis techniques. On the other hand, memory analysis provides valuable …
dynamic analysis techniques. On the other hand, memory analysis provides valuable …
[HTML][HTML] PDF malware detection based on optimizable decision trees
Portable document format (PDF) files are one of the most universally used file types. This
has incentivized hackers to develop methods to use these normally innocent PDF files to …
has incentivized hackers to develop methods to use these normally innocent PDF files to …
A novel malware classification and augmentation model based on convolutional neural network
The rapid development and widespread use of the Internet have led to an increase in the
number and variety of malware proliferating via the Internet. Malware is the general …
number and variety of malware proliferating via the Internet. Malware is the general …
Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses
Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …
new developments, modern vehicles are getting increasingly astute and offering growing …
A time-interval-based active learning framework for enhanced PE malware acquisition and detection
Malware increasingly threatens users around the world on a variety of cybernetic platforms,
resulting in damages of billions of dollars each year. In recent years, in order to improve the …
resulting in damages of billions of dollars each year. In recent years, in order to improve the …
Deep learning for windows malware analysis
Malwares, such as ransomware, Trojans, spyware, and botnets, are the most common cyber-
threats that can cause significant damages for organizations, governments, and individuals …
threats that can cause significant damages for organizations, governments, and individuals …
Enhancing PDF Malware Detection through Logistic Model Trees.
M Binsawad - Computers, Materials & Continua, 2024 - search.ebscohost.com
Malware is an ever-present and dynamic threat to networks and computer systems in
cybersecurity, and because of its complexity and evasiveness, it is challenging to identify …
cybersecurity, and because of its complexity and evasiveness, it is challenging to identify …
Ransomware classification using machine learning
NE Majd, T Mazumdar - 2023 32nd International Conference on …, 2023 - ieeexplore.ieee.org
The rise of ransomware has emerged as a pressing concern for the technology industry,
demanding prompt action to prevent monetary and ethical exploitation. Therefore, an …
demanding prompt action to prevent monetary and ethical exploitation. Therefore, an …
Integrating a Rule-Based Approach to Malware Detection with an LSTM-Based Feature Selection Technique
Technology has amplified malware activity, affecting network and users. Before being
forwarded to the next host, network traffic must be dynamically analysed for malware. By …
forwarded to the next host, network traffic must be dynamically analysed for malware. By …