Indira Kalyan Dutta Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Arkansas Tech University
faculty
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Biography and Research Information
OverviewAI-generated summary
Indira Kalyan Dutta's research investigates advancements in computing, with a particular focus on cybersecurity and artificial intelligence. Her work includes a survey on security in the Internet of Things, examining the influence of emerging technologies on network vulnerabilities. Dutta has also explored the application of deep learning techniques for personality prediction, a method that utilizes advanced algorithms to infer individual traits from data. Another area of her research addresses the detection of fake profiles on social media, employing contemporary algorithms to identify inauthentic online presences. In the realm of cryptography, her publications detail methods for reducing cipher complexity, such as isomorphic cipher reduction and key space reduction using isomorphs. She also evaluates the true cryptographic key space size and investigates techniques like collision attacks for breaking cryptographic modes, alongside modeling polymorphic ciphers. Dutta's academic contributions are reflected in her h-index of 8 and over 288 citations across her 27 publications.
Metrics
- h-index: 8
- Publications: 27
- Citations: 288
Selected Publications
- A Chaotic Non-Linear Pseudo Random Number Generator (CNPRNG) Design for High-Security Applications (2025) DOI
- Detecting Malicious URLs in Brushing Scams: A Machine Learning Approach with Human-Centered Cybersecurity (2025) DOI
- ElderConnect: An AI-Powered Platform to Empower Seniors Against Cyberthreats (2025) DOI
- Understanding and Mitigating Social Engineering Attacks to Elderly People: A Comprehensive Survey of Methods, Impacts, and Future Solutions (2024) DOI
- Techniques to Detect Fake Profiles on Social Media Using the New Age Algorithms - A Survey (2024) DOI
- A Demonstrable Break of PCBC Mode (2023) DOI
- Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes (2023) DOI
- Using the Collision Attack for Breaking Cryptographic Modes (2022) DOI
- The Problem with Regular Multiple Byte Block Boundaries in Encryption (2022) DOI
- A survey on security in internet of things with a focus on the impact of emerging technologies (2022) DOI
- Space Selection and Abstraction in Set Theoretic Estimation (2022) DOI
- Modeling Polymorphic Ciphers (2021) DOI
- Evaluating True Cryptographic Key Space Size (2021) DOI
- Key Space Reduction Using Isomorphs (2021) DOI
- Isomorphic Cipher Reduction (2021) DOI
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