Applications of Machine intelligence in Engineering

Proceedings of 2nd Global Conference on Artificial Intelligence and Applications (GCAIA, 2021), September 8-10, 2021, Jaipur, India

Jyotsna Kumar Mandal, Sanjay Misra, Jyoti Sekhar Banerjee, Somen Nayak, Jyotsna Kumar Mandal, Sanjay Misra, Jyoti Sekhar Banerjee, Somen Nayak

• Publisher: CRC Press
• Year: 2022
• Edition: 1
• eBook ISBN:
  9781000645835
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence.

This Conference Proceedings volume contains the written versions of most of the contributions presented during the conference of GCAIA 2021. The conference has provided an excellent chance for researchers from diverse locations to present and debate their work in the field of artificial intelligence and its applications. It includes a selection of 62 papers. All accepted papers were subjected to strict peer-review by 2–4 expert referees. The papers have been selected for this volume because of their quality and their relevance to the theme of the conference.

CHAPTER ONE An Enhanced Implementation of Security Management System (SSMS) using UEBA in Smart Grid based SCADA Systems

Abdul Wahid Mir and K. R. Ram Kumar

Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

[email protected] • [email protected]

DOI: 10.1201/9781003269793-1

Abstract—Security pertaining to critical infrastructures based industrial control systems is of utmost importance to any nation owing to its operational dependency for sectors like nuclear stations, electricity services, transportation services, hospital services, water, and public services, etc. The cyberattacks and threats that include ransomware attacks, worms, trojans, ciyptomining, etc. are appearing in different forms and posing threats with high-risk stakes for the organizations. The new technologies like artificial intelligence (AI) and machine learning (ML) are not only used for business productivity but also used by cybercriminals as AI fuzzing, swarm-based attacks using self-learning, and even services like Malware as a Service (MAAS) abilities. The traditional security systems and procedures cannot handle and mitigate the growing volume of innovative polymorphic nature of threats that are either known or unknown. The hackers continue to innovate persistently, and findings new ways, leverage in compromised user credentials, traditional signatures, patterns, and rules applied within the defenses leading to minimal ability to detect the attacks. This paper presents a proposal to implement User and Entity Behavior Analytics (UEBA) for electricity utilities using SCADA systems. It also summarizes the review of top twenty solutions available in the market.

Keywords—SCADA, critical infrastructure, end user-based analytics, security systems, smart grid, industrial control systems (ICS)

I. INTRODUCTION

The security of critical national infrastructure remains the serious threat as it is being focus targeted by various entities due to its vital importance for any given country [1]. It remains highest priority for the nations to address the security in such critical service areas of that include electricity, transportation, water, gas, hospitals and other equally important services or systems that are essential part of our daily lives. In present world, without availability of even one of such services can be unnerving and devastating. With the convergence of information technology (IT) and operational technology (OT), in order to advance in this cyber age, the ICS vendors shifted from airgapped and serial systems offering to off-the-shelf commercial solutions with the internet protocol (IP) platform features [2]. The transition has enhanced the visibility and connectivity of the infrastructure and systems but also have exposed the vulnerabilities to the same level of enterprise or corporate networks.

Securing industrial control systems based supervisory control and data acquisition (SCADA) systems is very critical and arduous challenge in present age of sophisticated threat landscape that continues to evolve in scale. With the know history of high-profile attacks, ransomware attacks at global level and the cryptomining malware cases on rise, organizations need to step up the security controls specifically in extremely critical services sectors like that of electricity utilities. The organizations need to implement right controls, processes, and procedures in conjunction with new technologies, frameworks, and security requirements.

It is reported that the thirty percent of the data breaches within an organization is directly associated with the insiders within the organizations who act either negligently or maliciously resulting in the data breaches. Since there is implicit trust for insiders, they pose an inimitable threat to an organization as they have access privileges to most of the systems with options to evade security controls thus establishing themselves as the blind spots for the security teams monitoring the security of the systems.

One of the key issues in the security is the human factor. The source to various threats and vulnerabilities are humans which makes it important to monitor their behavior in order to identify any possible malicious activities they are part or responsible for. The ability to monitor users for any violations and to profile and analyze their activities, the User and Entity Behavioral Analytics (UEBA) [3] solution can be deployed.

This paper presents a User and Entity Behavior Analytics (UEBA) solution that can be implemented for electricity utilities using SCADA systems. It also summarizes the review of top twenty solutions available in the market.

II. USER AND ENTITY BEHAVIOR ANALYTICS (UEBA)

UEBA is a valuable system for the security teams to detect any malicious activity happening within the network. It monitors the user’s activities; hardware devices and networks log with the already set b...

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Table of Contents
• List of Figures
• List of Tables
• Acknowledgements
• Preface
• Foreword
• 1 An Enhanced Implementation of Security Management System (SSMS) using UEBA in Smart Grid based SCADA Systems
• 2 An Analysis to Understand Various Image Steganography Techniques
• 3 Review on Collaboration and Coordination Between NPU, Artifcial Neural Network & Deep Learning
• 4 An Effcient Solution for Choosing a Reliable Pathway in Wireless Body Area Networks
• 5 The Capteur: IoT based Device used for Real-time Scenario Analyzing
• 6 A Survey on Parallel Clustering Techniques for Big Data Framework
• 7 Message Authentication over Network using IoT Architecture
• 8 Relationship between Independent and Dependent Variables and Calculating the Accuracy of Predicted and Actual Values using Linear Regression Method of Machine Learning
• 9 Comparative Study of IoT Protocols: RPL vs LIBP and its Thwarting Issues
• 10 Prediction of Liver Disorders Using Simple Logistic Technique of Machine Learning .... by Arshdeep Kaur and Anil Kumar
• 11 IoT based Alcohol Detection System for Small Organization
• 12 Cognition of UnQL Queries in Context Database using Decision Tree
• 13 Indoor Navigation System using Augmented Reality
• 14 Optical Character Recognition using Deep Learning Techniques
• 15 Deep Learning In Medical Imaging: A Review
• 16 An Intelligent Chatbot for Admission System of an Educational Institute and Prediction of User Interest in Taking Admission
• 17 Naari: A Women Safety Application
• 18 A Virtual Book based on Human Anatomy
• 19 Crime by Crowd is Not Crime any More: A Predictive Analysis of Riot and Radicalization Oriented Text of Social Media
• 20 Computer Aided Segmentation of Oral Mucosa to Detect Cancer
• 21 Assessing the Concerns of People in the Pandemic Situation: An Analytical Approach on the Social Media Data
• 22 Sentiment Analysis of Online Reviews for Educational Institutions
• 23 IoT based Automated Vehicle Parking System
• 24 Employopedia: Bridge the Gap of Employability
• 25 The River Cleaning Trash Bot
• 26 Progressive Cleaning and Mining of Uncertain Smart Water Meter Data
• 27 Spatial Domain Least Signifcant Bit Method Latest Improvement’s
• 28 Comparative Study of Bagging Ensemble and ARIMA model for prediction of Covid-19 in India
• 29 FPGA Based MAC Units for Signal Processing Algorithms with Non-Binary Numeral System: An Effective Analysis
• 30 Using Data from In-Vehicle Recommender Systems to Predict Traveler Characteristics ...
• 31 An Artifcial Intelligence Based Path Estimation of Heterogeneous Droplets in Digital Microfuidic Biochip
• 32 The Prediction of Coronavirus using the Logistic Regression Technique of Machine Learning
• 33 A Modifed Backoff Algorithm for Performance Improvement of MANETs
• 34 Contactless Attendance and Temperature Monitoring System
• 35 MASKA: Mutual Authentication and Session Key Agreement Protocol in Global Mobility Networks
• 36 Patient Adaptive Heart Beat Classifcation System Using Kernel Based Feature Extraction Method
• 37 Data Management Framework for Resource Constrained IoT Applications
• 38 Using Machine Learning for Obesity Level Estimation
• 39 Multiclass Semantic Segmentation of COVID-19 CT Scan Images using Deep Learning ...
• 40 Sentiment Analysis using Machine Translation
• 41 An Automatic Summarization System to Understand the Impact of COVID-19 on Education
• 42 A Message Encryption Technology using Matrix
• 43 A Comparative Analysis of Copy-Move Forgery Detection Algorithms
• 44 Fruit Quality Assessment using VGG16 and ImageNet Based Transfer Learning Technique
• 45 Industry 4.0 in Dairy: Application of Machine Learning for Product Classifcation
• 46 Real-Time Facial Expression Recognition using CNN
• 47 Human Identifcation by Gait using Body-Worn Sensors
• 48 Android Malware Detector Based on Hybrid Features
• 49 Green IoT for Intelligent Cyber-Physical Systems in Industry 4.0: A Review of
• 50 AI Algorithm-based Triangulation Modelling in Aerospace Vehicular Applications
• 51 Conversational Question Answering System using RASA Framework
• 52 On Analyzing the Twitter Usage and Sentiment in India During the
• 53 Comparative Analysis of Various Text Summarization Techniques via Leveraging Transformer Model for the Fake News Detection
• 54 A Comparative Review on Machine Learning Based Algorithms to Convert Handwritten Document to English Characters
• 55 Iris Recognition Using Transfer Learning of Inception V3
• 56 Cognitive Radio-Enabled Internet of Things (CR-IoT): An Integrated Approach towards Smarter World
• 57 Analyzing Challenges in Adoption of SIOT System by using Fuzzy AHP Methodology
• 58 Intelligent Vehicle Accident Detection and Smart Rescue System
• 59 A Review on Topological Data Analysis in Human Activity Recognition
• 60 Hydrone : IoT enabled Autonomous Underwater Vehicle for Aquatic Ecosystem Monitoring
• 61 IoT-Based Smart City for the Post COVID-19 World: A Child-Centric Implementation Emphasis on Social Distancing
• 62 Infrared Gait Recognition using Point Light Animation and Spatio-Temporal Features