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06/29/2023
A Survey on Blockchain-Based Federated Learning and Data Privacy
Federated learning is a decentralized machine learning paradigm that all...
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12/17/2021
A Survey on the Applications of Blockchains in Security of IoT Systems
The Internet of Things (IoT) has already changed our daily lives by inte...
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12/17/2021
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
There exist several data-driven approaches that enable us model time ser...
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06/03/2021
Attack Prediction using Hidden Markov Model
It is important to predict any adversarial attacks and their types to en...
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06/03/2021
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks
To understand how end-users conceptualize consequences of cyber security...
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12/28/2020
Phishing Detection through Email Embeddings
The problem of detecting phishing emails through machine learning techni...
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12/28/2020
A Survey on Vulnerabilities of Ethereum Smart Contracts
Smart contract (SC) is an extension of BlockChain technology. Ethereum B...
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12/04/2020
Predicting Emotions Perceived from Sounds
Sonification is the science of communication of data and events to users...
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12/03/2020
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic
It is important and informative to compare and contrast major economic c...
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12/01/2020
Cyber-Attack Consequence Prediction
Cyber-physical systems posit a complex number of security challenges due...
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10/08/2020
Fake Reviews Detection through Analysis of Linguistic Features
Online reviews play an integral part for success or failure of businesse...
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10/08/2020
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
This paper proposes to use Fast Fourier Transformation-based U-Net (a re...
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06/14/2020
Vulnerability Coverage as an Adequacy Testing Criterion
Mainstream software applications and tools are the configurable platform...
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06/14/2020
Detection of Coincidentally Correct Test Cases through Random Forests
The performance of coverage-based fault localization greatly depends on ...
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06/14/2020
Vulnerability Coverage for Secure Configuration
We present a novel idea on adequacy testing called “vulnerability covera...
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06/14/2020
Cloud as an Attack Platform
We present an exploratory study of responses from 75 security profession...
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06/14/2020
Fake Reviews Detection through Ensemble Learning
Customers represent their satisfactions of consuming products by sharing...
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06/14/2020
Launching Stealth Attacks using Cloud
Cloud computing offers users scalable platforms and low resource cost. A...
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04/11/2020
Clustering Time Series Data through Autoencoder-based Deep Learning Models
Machine learning and in particular deep learning algorithms are the emer...
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11/21/2019
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
The detection of zero-day attacks and vulnerabilities is a challenging p...
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11/21/2019
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
Machine and deep learning-based algorithms are the emerging approaches i...
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05/22/2019
Markov Decision Process to Enforce Moving Target Defence Policies
Moving Target Defense (MTD) is an emerging game-changing defense strateg...
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05/22/2019
Deep Reinforcement Learning for Detecting Malicious Websites
Phishing is the simplest form of cybercrime with the objective of baitin...
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05/21/2018
The Sounds of Cyber Threats
The Internet enables users to access vast resources, but it can also exp...
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03/16/2018
