activity
20182026
most citedA Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM

96 citations · 259 across the 31 of their papers we have counts for

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Showing cs.CRShow all

11 papers · 1 filter

cs.CR2024

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs

Saroj Gopali, Akbar S. Namin, Faranak Abri +1

Cyber attacks continue to pose significant threats to individuals and organizations, stealing sensitive data such as personally identifiable information, financial information, and…

cs.CR2021

A Survey on the Applications of Blockchains in Security of IoT Systems

Zulfiqar Ali Khan, Akbar Siami Namin

The Internet of Things (IoT) has already changed our daily lives by integrating smart devices together towards delivering high quality services to its clients. These devices when i…

cs.CR2021

Attack Prediction using Hidden Markov Model

Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin

It is important to predict any adversarial attacks and their types to enable effective defense systems. Often it is hard to label such activities as malicious ones without adequate…

cs.CR2020★ 4 cited

Phishing Detection through Email Embeddings

Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong +2

The problem of detecting phishing emails through machine learning techniques has been discussed extensively in the literature. Conventional and state-of-the-art machine learning al…

cs.CR2020★ 3 cited

A Survey on Vulnerabilities of Ethereum Smart Contracts

Zulfiqar Ali Khan, Akbar Siami Namin

Smart contract (SC) is an extension of BlockChain technology. Ethereum BlockChain was the first to incorporate SC and thus started a new era of crypto-currencies and electronic tra…

cs.CR2020★ 5 cited

Cyber-Attack Consequence Prediction

Prerit Datta, Natalie Lodinger, Akbar Siami Namin +1

Cyber-physical systems posit a complex number of security challenges due to interconnection of heterogeneous devices having limited processing, communication, and power capabilitie…

cs.CR2020

Vulnerability Coverage for Secure Configuration

Shuvalaxmi Dass, Akbar Siami Namin

We present a novel idea on adequacy testing called ``{vulnerability coverage}.'' The introduced coverage measure examines the underlying software for the presence of certain classe…

cs.CR2020

Cloud as an Attack Platform

Moitrayee Chatterjee, Prerit Datta, Faranak Abri +2

We present an exploratory study of responses from security professionals and ethical hackers in order to understand how they abuse cloud platforms for attack purposes. The par…

cs.CR2020

Launching Stealth Attacks using Cloud

Moitrayee Chatterjee, Prerit Datta, Faranak Abri +2

Cloud computing offers users scalable platforms and low resource cost. At the same time, the off-site location of the resources of this service model makes it more vulnerable to ce…

cs.CR2019★ 9 cited

The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities

Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah +2

The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost importance for network administrators to identify them with high accuracy. The highe…

cs.CR2018★ 1 cited

The Sounds of Cyber Threats

Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones +1

The Internet enables users to access vast resources, but it can also expose users to harmful cyber-attacks. This paper investigates human factors issues concerning the use of sound…