Explanipedia

Open-set 3D semantic instance maps for vision language navigation – O3D-SIM Open

Laksh Nanwani, Kumaraditya Gupta, Aditya P. Mathur, Swayam Agrawal, A. H. Abdul Hafez , et al. · 2024

Humans excel at forming mental maps of their surroundings, equipping them to understand object relationships and navigate based on language queries. Our previous work, SI Maps (Nanwani L, Agarwal A, Jain K, et al. Instance-level semantic m…

Varicose Veins: A Comprehensive Review of Pathophysiology, Anatomy and Management Strategies Open

Jahan Roshan, Vashist Siddharth, Devendra Devendra, Aditya P. Mathur, Dr. Prof. Ajay Pal · 2024

An Overview of Pathophysiology and Management of Cervical Cancer Open

Aditya P. Mathur, Simran Thakur, Ajay Singh · 2024

A Review on Acute Pancreatitis: Pathogenesis and Pathophysiology Open

Aditya P. Mathur, Sachin Nagar, Roshan Jahan, Ajay Singh · 2024

Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants Open

Gauthama Raman, Aditya P. Mathur · 2024

Accurate detection of process anomalies is crucial for maintaining reliable operations in critical infrastructures such as water treatment plants. Traditional methods for creating anomaly detection systems in these facilities typically foc…

AICrit: A Design-Enhanced Anomaly Detector and Its Performance Assessment in a Water Treatment Plant Open

Gauthama Raman, Aditya P. Mathur · 2023

Critical Infrastructure Security Showdown 2021—Online (CISS2021-OL) represented the fifth run of iTrust’s international technology assessment exercise. During this event, researchers and experts from the industry evaluated the performance …

Instance-Level Semantic Maps for Vision Language Navigation Open

Laksh Nanwani, Anmol Agarwal, Kanishk Jain, R. Prabhakar, Aaron Monis , et al. · 2023

Humans have a natural ability to perform semantic associations with the surrounding objects in the environment. This allows them to create a mental map of the environment, allowing them to navigate on-demand when given linguistic instructi…

Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations Open

Muhammad Umer, Khurum Nazir Junejo, Muhammad Taha Jilani, Aditya P. Mathur · 2022

Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation Open

M. R. Gauthama Raman, Chuadhry Mujeeb Ahmed, Aditya P. Mathur · 2021

Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning Open

Muhammad Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani, Aditya P. Mathur · 2021

Adversarial learning is used to test the robustness of machine learning algorithms under attack and create attacks that deceive the anomaly detection methods in Industrial Control System (ICS). Given that security assessment of an ICS dema…

Scanning the Cycle: Timing-based Authentication on PLCs Open

Chuadhry Mujeeb Ahmed, Martín Ochoa, Jianying Zhou, Aditya P. Mathur · 2021

Programmable Logic Controllers (PLCs) are a core component of an Industrial Control System (ICS). However, if a PLC is compromised or the commands sent across a network from the PLCs are spoofed, consequences could be catastrophic. In this…

Cascading effects of cyber-attacks on interconnected critical infrastructure Open

Venkata Reddy Palleti, Sridhar Adepu, Vishrut Kumar Mishra, Aditya P. Mathur · 2021

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems Open

Herman Wijaya, Maurício Aniche, Aditya P. Mathur · 2020

A novel approach is proposed for constructing models of anomaly detectors using supervised learning from the traces of normal and abnormal operations of an Industrial Control System (ICS). Such detectors are of value in detecting process a…

Investigation of Cyber Attacks on a Water Distribution System Open

Sridhar Adepu, Venkata Reddy Palleti, Gyanendra Mishra, Aditya P. Mathur · 2020

A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems Open

Cheng Feng, Venkata Reddy Palleti, Aditya P. Mathur, Deeph Chana · 2019

Industrial Control Systems (ICS) consisting of integrated hardware and software components designed to monitor and control a variety of industrial processes, are typically deployed in critical infrastructures such as water treatment plants…

Assessing the Effectiveness of Attack Detection at a Hackfest on Industrial Control Systems Open

Sridhar Adepu, Aditya P. Mathur · 2018

A hackfest named SWaT Security Showdown (S3) has been organized consecutively for two years. S3 has enabled researchers and practitioners to assess the effectiveness of methods and products aimed at detecting cyber attacks launched in real…

Assessing the Effectiveness of Attack Detection at a Hackfest on\n Industrial Control Systems Open

Sridhar Adepu, Aditya P. Mathur · 2018

A hackfest named SWaT Security Showdown (S3) has been organized consecutively\nfor two years. S3 has enabled researchers and practitioners to assess the\neffectiveness of methods and products aimed at detecting cyber attacks launched\nin r…

<i>NoisePrint</i> Open

Chuadhry Mujeeb Ahmed, Martín Ochoa, Jianying Zhou, Aditya P. Mathur, Rizwan Qadeer , et al. · 2018

An attack detection scheme is proposed to detect data integrity attacks on sensors in Cyber-Physical Systems (CPSs). A combined fingerprint for sensor and process noise is created during the normal operation of the system. Under sensor spo…

NoiSense: Detecting Data Integrity Attacks on Sensor Measurements using Hardware based Fingerprints Open

Chuadhry Mujeeb Ahmed, Aditya P. Mathur, Martín Ochoa · 2017

In recent years fingerprinting of various physical and logical devices has been proposed with the goal of uniquely identifying users or devices of mainstream IT systems such as PCs, Laptops and smart phones. On the other hand, the applicat…

Using Process Invariants to Detect Cyber Attacks on a Water Treatment System Open

Sridhar Adepu, Aditya P. Mathur · 2016

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