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08/29/2023
On the Steganographic Capacity of Selected Learning Models
Machine learning and deep learning models are potential vectors for vari...
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08/19/2023
A Comparison of Adversarial Learning Techniques for Malware Detection
Machine learning has proven to be a useful tool for automated malware de...
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07/17/2023
Hidden Markov Models with Random Restarts vs Boosting for Malware Detection
Effective and efficient malware detection is at the forefront of researc...
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07/07/2023
A Natural Language Processing Approach to Malware Classification
Many different machine learning and deep learning techniques have been s...
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07/02/2023
Classifying World War II Era Ciphers with Machine Learning
We determine the accuracy with which machine learning and deep learning ...
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06/23/2023
Creating Valid Adversarial Examples of Malware
Machine learning is becoming increasingly popular as a go-to approach fo...
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03/22/2023
An Empirical Analysis of the Shift and Scale Parameters in BatchNorm
Batch Normalization (BatchNorm) is a technique that improves the trainin...
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03/22/2023
A Comparison of Graph Neural Networks for Malware Classification
Managing the threat posed by malware requires accurate detection and cla...
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08/08/2022
Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks
A common yet potentially dangerous task is the act of crossing the stree...
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06/27/2022
Multifamily Malware Models
When training a machine learning model, there is likely to be a tradeoff...
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06/12/2022
Darknet Traffic Classification and Adversarial Attacks
The anonymous nature of darknets is commonly exploited for illegal activ...
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06/08/2022
Hidden Markov Models with Momentum
Momentum is a popular technique for improving convergence rates during g...
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04/02/2022
Convolutional Neural Networks for Image Spam Detection
Spam can be defined as unsolicited bulk email. In an effort to evade tex...
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03/13/2022
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection
In this research, we compare malware detection techniques based on stati...
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07/26/2021
Clickbait Detection in YouTube Videos
YouTube videos often include captivating descriptions and intriguing thu...
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07/09/2021
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS)
Low grade endometrial stromal sarcoma (LGESS) is rare form of cancer, ac...
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07/04/2021
Machine Learning for Malware Evolution Detection
Malware evolves over time and antivirus must adapt to such evolution. He...
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07/04/2021
Auxiliary-Classifier GAN for Malware Analysis
Generative adversarial networks (GAN) are a class of powerful machine le...
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07/01/2021
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics
Keystroke dynamics can be used to analyze the way that users type by mea...
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03/24/2021
An Empirical Analysis of Image-Based Learning Techniques for Malware Classification
In this paper, we consider malware classification using deep learning te...
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03/24/2021
CNN vs ELM for Image-Based Malware Classification
Research in the field of malware classification often relies on machine ...
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03/07/2021
Sentiment Analysis for Troll Detection on Weibo
The impact of social media on the modern world is difficult to overstate...
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03/07/2021
Word Embedding Techniques for Malware Evolution Detection
Malware detection is a critical aspect of information security. One diff...
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03/07/2021
Cluster Analysis of Malware Family Relationships
In this paper, we use K-means clustering to analyze various relationship...
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03/07/2021
On Ensemble Learning
In this paper, we consider ensemble classifiers, that is, machine learni...
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03/07/2021
A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification
Word embeddings are often used in natural language processing as a means...
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03/07/2021
Universal Adversarial Perturbations and Image Spam Classifiers
As the name suggests, image spam is spam email that has been embedded in...
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03/03/2021
Malware Classification with GMM-HMM Models
Discrete hidden Markov models (HMM) are often applied to malware detecti...
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03/03/2021
Malware Classification Using Long Short-Term Memory Models
Signature and anomaly based techniques are the quintessential approaches...
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03/03/2021
Malware Classification with Word Embedding Features
Malware classification is an important and challenging problem in inform...
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01/06/2019