Devising Malware Characterstics using Transformers

2020-05-23 · Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma

With the increasing number of cybersecurity threats, it becomes more difficult for researchers to skim through the security reports for malware analysis. There is a need to be able to extract highly relevant sentences without having to read through the entire malware reports. In this paper, we are finding relevant malware behavior mentions from Advanced Persistent Threat Reports. This main contribution is an opening attempt to Transformer the approach for malware behavior analysis.

📄 PDF Abstract BibTeX arXiv:2005.12978

Code (0)

등록된 구현이 없습니다.

Tasks

Malware Analysis

Methods 이 논문이 사용한 방법론

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Absolute Position Encodings Absolute Position Encodings are a type of position embeddings for [Transformer-based models] where positional encodings are…

Position-Wise Feed-Forward Layer 설명 없음

Residual Connection 설명 없음

Label Smoothing Label Smoothing is a regularization technique that introduces noise for the labels. This accounts for the fact that datasets may have mistakes in them, so maximizing the…

Multi-Head Attention 설명 없음

Adam 설명 없음

ReLU How Do I Communicate to Expedia? How Do I Communicate to Expedia? – Call ☎️ +1-(888) 829 (0881) or +1-805-330-4056 or +1-805-330-4056 for Live Support & Special Travel…

Adversarial Attacks on Transformers-Based Malware Detectors

2022-10-01 · Yash Jakhotiya, Heramb Patil, Jugal Rawlani, Dr. Sunil B. Mane

Signature-based malware detectors have proven to be insufficient as even a small change in malignant executable code can bypass these signature-based detectors. Many machine learning-based models have been proposed to ef…

DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining

2020-08-04 · Ron Korine, Danny Hendler

Numerous metamorphic and polymorphic malicious variants are generated automatically on a daily basis by mutation engines that transform the code of a malicious program while retaining its functionality, in order to evade…

Classification General Classification Malware Classification

MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

2021-03-05 · Abir Rahali, Moulay A. Akhloufi

In recent years we have witnessed an increase in cyber threats and malicious software attacks on different platforms with important consequences to persons and businesses. It has become critical to find automated machine…

Self-Supervised Vision Transformers for Malware Detection

2022-08-15 · Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi

Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by security vendors are often used in thes…

Binary Classification Malware Classification Malware Detection Malware Family Detection+2

Accelerating Malware Classification: A Vision Transformer Solution

2024-09-28 · Shrey Bavishi, Shrey Modi

The escalating frequency and scale of recent malware attacks underscore the urgent need for swift and precise malware classification in the ever-evolving cybersecurity landscape. Key challenges include accurately categor…

Classification image-classification Image Classification Malware Classification+2