125 citations · 374 across the 24 of their papers we have counts for
24 papers · 1 filter
Specification and Enforcement of Activity Dependency Policies using XACML
Tanjila Mawla, Maanak Gupta, Ravi Sandhu
The evolving smart and interconnected systems are designed to operate with minimal human intervention. Devices within these smart systems often engage in prolonged operations based…
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1
Windows malware is predominantly available in cyberspace and is a prime target for deliberate adversarial evasion attacks. Although researchers have investigated the adversarial ma…
The ACAC_D Model for Mutable Activity Control and Chain of Dependencies in Smart and Collaborative Systems
Tanjila Mawla, Maanak Gupta, Safwa Ameer +1
With the integration of connected devices, artificial intelligence, and heterogeneous networks in IoT-driven cyber-physical systems, our society is evolving as a smart, automated,…
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal +2
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google…
Automated Machine Learning for Deep Learning based Malware Detection
Austin Brown, Maanak Gupta, Mahmoud Abdelsalam
Deep learning (DL) has proven to be effective in detecting sophisticated malware that is constantly evolving. Even though deep learning has alleviated the feature engineering probl…
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam
With the increase in machine learning (ML) applications in different domains, incentives for deceiving these models have reached more than ever. As data is the core backbone of ML…
Online Malware Classification with System-Wide System Calls in Cloud IaaS
Phillip Brown, Austin Brown, Maanak Gupta +1
Accurately classifying malware in an environment allows the creation of better response and remediation strategies by cyber analysts. However, classifying malware in a live environ…
Machine Learning in Access Control: A Taxonomy and Survey
Mohammad Nur Nobi, Maanak Gupta, Lopamudra Praharaj +3
An increasing body of work has recognized the importance of exploiting machine learning (ML) advancements to address the need for efficient automation in extracting access control…
BlueSky: Activity Control: A Vision for "Active" Security Models for Smart Collaborative Systems
Tanjila Mawla, Maanak Gupta, Ravi Sandhu
Cyber physical ecosystem connects different intelligent devices over heterogeneous networks. Various operations are performed on smart objects to ensure efficiency and to support a…
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids
Sina Sontowski, Nigel Lawrence, Deepjyoti Deka +1
As cyber-attacks against critical infrastructure become more frequent, it is increasingly important to be able to rapidly identify and respond to these threats. This work investiga…
Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare
Deepti Gupta, Olumide Kayode, Smriti Bhatt +2
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart medical devices and applications used in smart hospitals, smart-home based care, and nursing…
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam
Machine learning has witnessed tremendous growth in its adoption and advancement in the last decade. The evolution of machine learning from traditional algorithms to modern deep le…
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…
Edge Centric Secure Data Sharing with Digital Twins in Smart Ecosystems
Glen Cathey, James Benson, Maanak Gupta +1
Internet of Things (IoT) is a rapidly growing industry currently being integrated into both consumer and industrial environments on a wide scale. While the technology is available…
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…
Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT
Deepti Gupta, Smriti Bhatt, Paras Bhatt +2
The exponential growth of Internet of Things (IoT) has become a transcending force in creating innovative smart devices and connected domains including smart homes, healthcare, tra…
Towards Activity-Centric Access Control for Smart Collaborative Ecosystems
Maanak Gupta, Ravi Sandhu
The ubiquitous presence of smart devices along with advancements in connectivity coupled with the elastic capabilities of cloud and edge systems have nurtured and revolutionized sm…
Reachability Analysis for Attributes in ABAC with Group Hierarchy
Maanak Gupta, Ravi Sandhu
Attribute-based access control (ABAC) models are widely used to provide fine-grained and adaptable authorization based on the attributes of users, resources, and other relevant ent…
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…
Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning
Deepti Gupta, Olumide Kayode, Smriti Bhatt +2
With the growth of Internet of Things (IoT) and mo-bile edge computing, billions of smart devices are interconnected to develop applications used in various domains including smart…
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…
Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets
Maanak Gupta, James Benson, Farhan Patwa +1
Intelligent Transportation System (ITS) is a vision which offers safe, secure and smart travel experience to drivers. This futuristic plan aims to enable vehicles, roadside transpo…
Next-Generation Big Data Federation Access Control: A Reference Model
Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta +2
This paper discusses one of the most significant challenges of next-generation big data (BD) federation platforms, namely, Hadoop access control. Privacy and security on a federati…
Secure Cloud Assisted Smart Cars Using Dynamic Groups and Attribute Based Access Control
Maanak Gupta, James Benson, Farhan Patwa +1
Future smart cities and intelligent world will have connected vehicles and smart cars as its indispensable and most essential components. The communication and interaction among su…