Search Results for author: Maanak Gupta

Found 9 papers, 0 papers with code

AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns

no code implementations15 Feb 2024 Ashfak Md Shibli, Mir Mehedi A. Pritom, Maanak Gupta

SMS phishing, also known as "smishing", is a growing threat that tricks users into disclosing private information or clicking into URLs with malicious content through fraudulent mobile text messages.

Chatbot

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

no code implementations3 Jul 2023 Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal, Eli Parker, Lopamudra Praharaj

The paper also investigates how cyber offenders can use the GenAI tools in developing cyber attacks, and explore the scenarios where ChatGPT can be used by adversaries to create social engineering attacks, phishing attacks, automated hacking, attack payload generation, malware creation, and polymorphic malware.

Code Generation Malware Detection

Machine Learning in Access Control: A Taxonomy and Survey

no code implementations4 Jul 2022 Mohammad Nur Nobi, Maanak Gupta, Lopamudra Praharaj, Mahmoud Abdelsalam, Ram Krishnan, Ravi Sandhu

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 attributes, policy mining, policy verification, access decisions, etc.

BIG-bench Machine Learning

An Ontological Knowledge Representation for Smart Agriculture

no code implementations21 Dec 2021 Bikram Pratim Bhuyan, Ravi Tomar, Maanak Gupta, Amar Ramdane-Cherif

In order to provide the agricultural industry with the infrastructure it needs to take advantage of advanced technology, such as big data, the cloud, and the internet of things (IoT); smart farming is a management concept that focuses on providing the infrastructure necessary to track, monitor, automate, and analyse operations.

Management

Detecting Anomalous User Behavior in Remote Patient Monitoring

no code implementations22 Jun 2021 Deepti Gupta, Maanak Gupta, Smriti Bhatt, Ali Saman Tosun

We propose Hidden Markov Model (HMM) based anomaly detection that analyzes normal user behavior in the context of RPM comprising both smart home and smart health devices, and identifies anomalous user behavior.

Anomaly Detection

Future Smart Connected Communities to Fight COVID-19 Outbreak

no code implementations20 Jul 2020 Deepti Gupta, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun

IoT and smart connected technologies together with data-driven applications can play a crucial role not only in prevention, continuous monitoring, and mitigation of the disease, but also enable prompt enforcement of guidelines, rules and government orders to contain such future outbreaks.

Computers and Society

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

no code implementations13 Apr 2020 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.

Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS

no code implementations15 Feb 2020 Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal

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.

Malware Detection

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