Explanipedia

Vulnerabilities in Machine Learning for cybersecurity: Current trends and future research directions Open

Geeta Yadav, Zahra Jadidi, Md Palash Uddin, Sandeep K. Shukla · 2025

A HYBRID QUANTUM-INSPIRED EVOLUTIONARY ALGORITHM FOR OPTIMIZING CROSS-LAYER DESIGN IN LOW-POWER WIDE-AREA NETWORKS Open

Sandeep K. Shukla · 2025

The proliferation of Internet of Things (IoT) devices necessitates efficient communication protocols for Low-Power Wide-Area Networks (LPWANs). Traditional layered network architectures often lead to sub-optimal performance due to isolated…

Constrained Adversarial Perturbation Open

Virendra Nishad, Bhaskar Mukhoty, Hilal AlQuabeh, Sandeep K. Shukla, Sayak Ray Chowdhury · 2025

Deep neural networks have achieved remarkable success in a wide range of classification tasks. However, they remain highly susceptible to adversarial examples - inputs that are subtly perturbed to induce misclassification while appearing u…

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark Open

Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi , et al. · 2025

Recent advances in LLM agentic systems have improved the automation of offensive security tasks, particularly for Capture the Flag (CTF) challenges. We systematically investigate the key factors that drive agent success and provide a detai…

Trust and cybersecurity in digital payment adoption: socioeconomic insights from India Open

Aya Aljaradat, Sandeep K. Shukla · 2025

Purpose This study examines the behavioral and contextual determinants influencing digital payment trust and perceived cybersecurity (DPTS) in India, focusing on the roles of ease of use, perceived benefits, social influence and grievance …

AI-Driven Skin Cancer Detection for Early Intervention using Deep Learning Open

Sandeep K. Shukla, Abhishek Palve, Nanasaheb M. Shinde, Madhavi Patil, Nisha Vishwakarma · 2025

Skin cancer is a significant global health issue, with increasing incidence rates posing a challenge to healthcare systems. This research presents an AI-driven system for skin cancer detection and patient prioritization, aimed at addressin…

D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security Open

Meet Udeshi, Minghao Shao, Haoran Xi, Nanda Rani, Kimberly Milner , et al. · 2025

Large Language Models (LLMs) have been used in cybersecurity such as autonomous security analysis or penetration testing. Capture the Flag (CTF) challenges serve as benchmarks to assess automated task-planning abilities of LLM agents for c…

A Hybrid Approach for Intrusion Detection in FTP Logs via Multi-Pattern Feature Engineering Open

Kriti Majumdar, Nitesh Kumar, Anand Handa, Sandeep K. Shukla · 2025

A Dummy User Based Privacy Preserving Model for Online and Offline Crowd Mobility Monitoring Applications Open

S. Venkatesan, Richard Göbel, Yuvaraj Rajendra, Nachiket Tapas, O. P. Vyas , et al. · 2025

Investigating the influence of periwinkle shell powder on the thermal and mechanical performance of high-density polyethylene composites Open

Abbas Saifee Valsadwala, Sriram Srinivasan, B. Surya Rajan, S. Shamshath Begum, Asit Baran Samui , et al. · 2024

In this study, the shell powder of Littorina littorea commonly called periwinkle was used as an eco-friendly filler in High-Density Polyethylene (HDPE) to form periwinkle/HDPE composites (PHPC). Understanding the effect of different partic…

Chasing the Shadows: TTPs in Action to Attribute Advanced Persistent Threats Open

Nanda Rani, Bikash Saha, Vikas Maurya, Sandeep K. Shukla · 2024

The current state of Advanced Persistent Threats (APT) attribution primarily relies on time-consuming manual processes. These include mapping incident artifacts onto threat attribution frameworks and employing expert reasoning to uncover t…

TTPXHunter: Actionable Threat Intelligence Extraction as TTPs from Finished Cyber Threat Reports Open

Nanda Rani, Bikash Saha, Vikas Maurya, Sandeep K. Shukla · 2024

Understanding the modus operandi of adversaries aids organizations to employ efficient defensive strategies and share intelligence in the community. This knowledge is often present in unstructured natural language text within threat analys…

A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems Open

Nanda Rani, Bikash Saha, Sandeep K. Shukla · 2024

Advanced Persistent Threat (APT) attribution is a critical challenge in cybersecurity and implies the process of accurately identifying the perpetrators behind sophisticated cyber attacks. It can significantly enhance defense mechanisms an…

Modelling cybersecurity impacts on digital payment adoption: A game theoretic approach Open

Aya Aljaradat, G. Sarkar, Sandeep K. Shukla · 2024

The pervasive adoption of digital payment systems globally is a crucial development, shaping the financial landscapes of diverse nations. However, this surge in adoption has precipitated a concerning rise in cybercrimes. This prompts users…

Reconceptualizing online offenses: A framework for distinguishing cybercrime, cyberattacks, and cyberterrorism in the Indian legal context Open

G. Sarkar, Sandeep K. Shukla · 2024

From a legal standpoint, there are significant disparities in treating online offenses targeting individuals, organizations, and nation-states. These disparities arise due to influences that vary discreetly based on crucial factors such as…

ADAPT: Adaptive Camouflage Based Deception Orchestration For Trapping Advanced Persistent Threats Open

Venkata Sai Charan Putrevu, Subhasis Mukhopadhyay, Subhajit Manna, Nanda Rani, Ansh Vaid , et al. · 2024

Honeypots serve as a valuable deception technology, enabling security teams to gain insights into the behaviour patterns of attackers and investigate cyber security breaches. However, traditional honeypots prove ineffective against advance…

TTPXHunter: Actionable Threat Intelligence Extraction as TTPs from Finished Cyber Threat Reports Open

Nanda Rani, Bikash Saha, Vikas Maurya, Sandeep K. Shukla · 2024

Understanding the modus operandi of adversaries aids organizations in employing efficient defensive strategies and sharing intelligence in the community. This knowledge is often present in unstructured natural language text within threat a…

STUDY OF LOGICAL OPERATIONS IN VECTORS OF A CIRCUIT OF HYPERCUBE Open

Sandeep K. Shukla · 2024

Parallel structure and switching circuit have become a fundamental theme in the concern of Artificial Intelligence and interconnection network and also it is revealed to be critical when researching in high performance. This Study helps to…

Reliability/redundancy trade-off evaluation for multiplexed architectures used to implement quantum dot based computing Open

D. Bhaduri, Sandeep K. Shukla, Paul Graham, Maya Gokhale · 2024

With the advent of nanocomputing, researchers have proposed Quantum Dot Cellular Automata (QCA) as one of the implementation technologies. The majority gate is one of the fundamental gates implementable with QCAs. Moreover, majority gates …

A hybrid framework for design and analysis of fault-tolerant architectures for nanoscale molecular crossbar memories. Open

Paul Graham, Maya Gokhale, D. Bhaduri, Sandeep K. Shukla, D. Coker , et al. · 2024

It is anticipated that self assembled ultra-dense nanomemories will be more susceptible to manufacturing defects and transient faults than conventional CMOS-based memories, thus the need exists for fault-tolerant memory architectures. The …

Reliability analysis of fault-tolerant reconfigurable nano-architectures Open

D. Bhaduri, Paul Graham, Sandeep K. Shukla · 2024

Manufacturing defects and transient errors will be abundant in high - density reconfigurable nano-scale designs. Recently, we have automated a computational scheme based on Markov Random Field (MRF) and Belief Propagation algorithms in a t…

A Dummy User Based Privacy Preserving Model for Online and Offline Crowd Mobility Monitoring Applications Open

S. Venkatesan, Richard Göbel, Nachiket Tapas, Yuvaraj Rajendra, O. P. Vyas , et al. · 2024

A Dummy User Based Privacy Preserving Model for Online and Offline Crowd Mobility Monitoring Applications Open

S. Venkatesan, Richard Göbel, Yuvaraj Rajendra, Nachiket Tapas, O. P. Vyas , et al. · 2024

EPASAD: ellipsoid decision boundary based Process-Aware Stealthy Attack Detector Open

Vikas Maurya, Rachit Agarwal, Saurabh Kumar, Sandeep K. Shukla · 2023

Due to the importance of Critical Infrastructure (CI) in a nation’s economy, they have been lucrative targets for cyber attackers. These critical infrastructures are usually Cyber-Physical Systems such as power grids, water, and sewage tre…

Behavioral analysis of cybercrime: Paving the way for effective policing strategies Open

G. Sarkar, Sandeep K. Shukla · 2023

This comprehensive survey paper offers a panoramic exploration of the dynamic realm of cybercrime policing, encompassing a wide spectrum of intricacies from cybercrime definitions to establishing a robust investigative framework. Navigatin…

HiPeR - Early Detection of a Ransomware Attack using Hardware Performance Counters Open

P. Mohan Anand, P. V. Sai Charan, Sandeep K. Shukla · 2023

Ransomware has been one of the most prevalent forms of malware over the previous decade, and it continues to be one of the most significant threats today. Recently, ransomware strategies such as double extortion and rapid encryption have e…

Conservation of medicinal plants: challenges and opportunities Open

Sandeep K. Shukla · 2023

Medicinal plants have been used for centuries as a primary source of healthcare and healing. However, the increasing demand for medicinal plants, coupled with habitat loss and unsustainable harvesting practices, has led to the depletion of…

From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads Open

P. V. Sai Charan, Hrushikesh Chunduri, P. Mohan Anand, Sandeep K. Shukla · 2023

This research article critically examines the potential risks and implications arising from the malicious utilization of large language models(LLM), focusing specifically on ChatGPT and Google's Bard. Although these large language models h…

Understanding Rug Pulls: An In-Depth Behavioral Analysis of Fraudulent NFT Creators Open

Trishie Sharma, Rachit Agarwal, Sandeep K. Shukla · 2023

The explosive growth of non-fungible tokens (NFTs) on Web3 has created a new frontier for digital art and collectibles, but also an emerging space for fraudulent activities. This study provides an in-depth analysis of NFT rug pulls, which …

Identifying malicious accounts in blockchains using domain names and associated temporal properties Open

Rohit Kumar Sachan, Rachit Agarwal, Sandeep K. Shukla · 2023

The rise in the adoption of blockchain technology has led to increased illegal activities by cybercriminals costing billions of dollars. Many machine learning algorithms are applied to detect such illegal behavior. These algorithms are oft…

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