[PDF][PDF] Invasive weed optimization with stacked long short term memory for pdf malware detection and classification

P Chandran, R Hema… - International journal of …, 2022 - researchgate.net
Due to high versatility and widespread adoption, PDF documents are widely exploited for
launching attacks by cyber criminals. PDFs have been conventionally utilized as an effective …

PDF malware detection based on optimizable decision trees

Q Abu Al-Haija, A Odeh, H Qattous - Electronics, 2022 - mdpi.com
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 …

PDF Malware Detection Based on Optimizable Decision Trees

A Odeh, H Qattous - 2022 - europepmc.org
Portable Document Format (PDF) files are one of the most universally used file types. This
has fascinated hackers to develop methods to use these normally innocent PDF files to …

[PDF][PDF] Optimal deep belief network enabled malware detection and classification model

PP Chandran, NH Rajini… - Intell Autom Soft …, 2023 - cdn.techscience.cn
Cybercrime has increased considerably in recent times by creating new methods of stealing,
changing, and destroying data in daily lives. Portable Document Format (PDF) has been …

Intelligent optimal gated recurrent unit based malicious pdf detection and classification model

PP Chandran, M Jeyakarthic - … International Conference on …, 2022 - ieeexplore.ieee.org
Because of the familiarity of the portable document format (PDF) and raising number of
susceptibilities in most of the PDF viewer applications, malware writers endure to utilize it to …

Static and dynamic learning-based PDF malware detection classifiers—A comparative study

NS Vishnu, SM Lakshmi, AK Shukla - Applications of Artificial Intelligence …, 2021 - Springer
The malicious software are still accounting up as a substantial threat to the cyber world. The
most widely used vectors to infect different systems using malware are the document files. In …

MLPdf: an effective machine learning based approach for PDF malware detection

J Zhang - arXiv preprint arXiv:1808.06991, 2018 - arxiv.org
Due to the popularity of portable document format (PDF) and increasing number of
vulnerabilities in major PDF viewer applications, malware writers continue to use it to deliver …

PDF Malware Detection Based on Fuzzy Unordered Rule Induction Algorithm (FURIA)

S Mejjaouli, S Guizani - Applied Sciences, 2023 - mdpi.com
The number of cyber-attacks is increasing daily, and attackers are coming up with new ways
to harm their target by disseminating viruses and other malware. With new inventions and …

Parameter optimization of classification techniques for pdf based malware detection

SM Hossain, MA Ayub - 2020 23rd International Conference on …, 2020 - ieeexplore.ieee.org
Embedding malicious codes in Portable Document Format (PDF) files has been one of the
prime a venues ina never-ending cat and mouse game between malware authors and …

Bidirectional LSTM based light-weighted malware detection model using Windows PE format binary data

KY PARK, SJ LEE - Journal of Internet Computing and Services, 2022 - koreascience.kr
Since 99% of PCs operating in the defense domain use the Windows operating system,
detection and response of Window-based malware is very important to keep the defense …