activity
20202024
most citedEnabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case

30 citations · 32 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR2024

Explainability Guided Adversarial Evasion Attacks on Malware Detectors

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1

As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critica…

cs.CR2021

Autoencoder-based Anomaly Detection in Smart Farming Ecosystem

Mary Adkisson, Jeffrey C Kimmel, Maanak Gupta +1

The inclusion of Internet of Things (IoT) devices is growing rapidly in all application domains. Smart Farming supports devices connected, and with the support of Internet, cloud o…

cs.CR2021

Analyzing Machine Learning Approaches for Online Malware Detection in Cloud

Jeffrey C Kimmell, Mahmoud Abdelsalam, Maanak Gupta

The variety of services and functionality offered by various cloud service providers (CSP) have exploded lately. Utilizing such services has created numerous opportunities for ente…

cs.CR20202 cited

AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce

Maanak Gupta, Sudip Mittal, Mahmoud Abdelsalam

The use of Artificial Intelligence (AI) and Machine Learning (ML) to solve cybersecurity problems has been gaining traction within industry and academia, in part as a response to w…

cs.CY202030 cited

Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case

Maanak Gupta, Mahmoud Abdelsalam, Sudip Mittal

Internet of Things is a revolutionary domain that has the caliber to impact our lives and bring significant changes to the world. Several IoT applications have been envisioned to f…

cs.CR2020

Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS

Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta +1

Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to its exposure to external adversaries, making it a lucrative attack vector for malicious actors. A datacente…