SlideShare a Scribd company logo
ANOMALY DETECTION AND EVENT
PREDICTION IN SENSOR NETWORKS
Pratik Kamble
INTRODUCTION
Presentation title 2
Anomaly detection is a crucial task in sensor
networks to identify unusual patterns that may
indicate faults or malicious activities. This
project focuses on developing a system for
anomaly detection and event prediction in
sensor networks, aiming to enhance system
reliability and security.
PROBLEM STATEMENT
Presentation title
The problem involves detecting anomalies in sensor data to ensure the integrity and
reliability of sensor networks. Anomalies can indicate faults, errors, or potential security
threats, making their detection vital for maintaining system performance and security.
3
PROBLEM
DEFINITION
Presentation title
Objectives:
• Develop an anomaly detection system for sensor networks.
• Predict events based on sensor data to anticipate potential
issues. Scope:
• Focus on detecting anomalies in sensor readings.
• Utilize machine learning and deep learning techniques for
analysis.
4
DATASET DESCRIPTION
Presentation title
The dataset consists of sensor data collected from various nodes in a sensor network. It comprises five features:
Area, Sensing Range, Transmission Range, Number of Sensor Nodes, and Number of Barriers. Total samples: 182.
5
DATA PREPROCESSING
Presentation title
Data preprocessing steps:
• Handling missing values, duplicates, and outliers.
• Feature scaling for standardization. Standardization ensures that all features have a
similar scale, preventing certain features from dominating the analysis.
6
ANOMALY DETECTION
METHODOLOGY
Presentation title
Methods Used:
• K-means clustering for unsupervised anomaly
detection.
• Deep learning with Keras Sequential and TensorFlow
for more complex pattern recognition. Approach:
• Train models on preprocessed data to identify
anomalies in sensor readings.
7
EVALUATION METRICS
Presentation title 8
Evaluation metrics:
• Silhouette score for K-means clustering to assess cluster separation.
• Number of anomalies detected by deep learning models.
RESULTS
Presentation title 9
Summary of Results:
• Silhouette score obtained from K-means clustering: 0.57
• Two anomalies detected by deep learning models. User Input Prediction:
• The system predicts anomalies based on user input, providing real-time anomaly detection
capabilities.
FUTURE
SCOPE
Presentation title
Future Research Areas:
• Incorporating additional features for enhanced
anomaly detection.
• Exploring other machine learning and deep
learning techniques for improved performance.
10
Presentation title 11
CONCLUSION
Summary of Project:
• Developed an anomaly detection system for sensor networks using
machine learning and deep learning techniques. Key Findings:
• Achieved a silhouette score of 0.57 with K-means clustering.
• Successfully detected anomalies using deep learning models. Significance:
• Enhances system reliability and security in sensor networks.
ANY QUESTIONS?
Feel free to ask any questions.
THANK
YOU
Pratik Kamble
9137674770
pratikakamble7467@gmail.com
https://pratikthedatascientist.github.io/

More Related Content

Similar to Sensing the Future: Anomaly Detection and Event Prediction in Sensor Networks

Outlier detection for high dimensional data
Outlier detection for high dimensional dataOutlier detection for high dimensional data
Outlier detection for high dimensional data
Parag Tamhane
 
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile DevicesIRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
IRJET Journal
 
Self-supervised Learning for ECG-based Emotion Recognition
Self-supervised Learning for ECG-based Emotion RecognitionSelf-supervised Learning for ECG-based Emotion Recognition
Self-supervised Learning for ECG-based Emotion Recognition
Pritam Sarkar
 
Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.
sandipan paul
 
Artificial Intelligence based Pattern Recognition
Artificial Intelligence based Pattern RecognitionArtificial Intelligence based Pattern Recognition
Artificial Intelligence based Pattern Recognition
Dr. Amarjeet Singh
 
High performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayesHigh performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayes
eSAT Journals
 
High performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayesHigh performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayes
eSAT Journals
 
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networksData aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
Jasleen Kaur (Chandigarh University)
 
DATI, AI E ROBOTICA @POLITO
DATI, AI E ROBOTICA @POLITODATI, AI E ROBOTICA @POLITO
DATI, AI E ROBOTICA @POLITO
MarcoMellia
 
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
IEEEBEBTECHSTUDENTSPROJECTS
 
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
IEEEGLOBALSOFTSTUDENTPROJECTS
 
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
IEEEBEBTECHSTUDENTSPROJECTS
 
College_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptxCollege_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptx
IndrajithN1
 
Identifying and classifying unknown Network Disruption
Identifying and classifying unknown Network DisruptionIdentifying and classifying unknown Network Disruption
Identifying and classifying unknown Network Disruption
jagan477830
 
MDM-2013, Milan, Italy, 6 June, 2013
MDM-2013, Milan, Italy, 6 June, 2013MDM-2013, Milan, Italy, 6 June, 2013
MDM-2013, Milan, Italy, 6 June, 2013
Charith Perera
 
A Review of Lie Detection Techniques.pdf
A Review of Lie Detection Techniques.pdfA Review of Lie Detection Techniques.pdf
A Review of Lie Detection Techniques.pdf
Whitney Anderson
 
Table of Contents
Table of ContentsTable of Contents
Table of Contents
butest
 
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
IRJET Journal
 
A Review of Lie Detection Techniques
A Review of Lie Detection TechniquesA Review of Lie Detection Techniques
A Review of Lie Detection Techniques
IRJET Journal
 
International Journal of Engineering Research and Development (IJERD)
 International Journal of Engineering Research and Development (IJERD) International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
 

Similar to Sensing the Future: Anomaly Detection and Event Prediction in Sensor Networks (20)

Outlier detection for high dimensional data
Outlier detection for high dimensional dataOutlier detection for high dimensional data
Outlier detection for high dimensional data
 
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile DevicesIRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
IRJET- Deep Feature Fusion for Iris Biometrics on Mobile Devices
 
Self-supervised Learning for ECG-based Emotion Recognition
Self-supervised Learning for ECG-based Emotion RecognitionSelf-supervised Learning for ECG-based Emotion Recognition
Self-supervised Learning for ECG-based Emotion Recognition
 
Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.
 
Artificial Intelligence based Pattern Recognition
Artificial Intelligence based Pattern RecognitionArtificial Intelligence based Pattern Recognition
Artificial Intelligence based Pattern Recognition
 
High performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayesHigh performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayes
 
High performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayesHigh performance intrusion detection using modified k mean & naïve bayes
High performance intrusion detection using modified k mean & naïve bayes
 
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networksData aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
 
DATI, AI E ROBOTICA @POLITO
DATI, AI E ROBOTICA @POLITODATI, AI E ROBOTICA @POLITO
DATI, AI E ROBOTICA @POLITO
 
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
 
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Top k-query-result-completeness-veri...
 
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
2014 IEEE JAVA NETWORK SECURITY PROJECT Top k-query-result-completeness-verif...
 
College_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptxCollege_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptx
 
Identifying and classifying unknown Network Disruption
Identifying and classifying unknown Network DisruptionIdentifying and classifying unknown Network Disruption
Identifying and classifying unknown Network Disruption
 
MDM-2013, Milan, Italy, 6 June, 2013
MDM-2013, Milan, Italy, 6 June, 2013MDM-2013, Milan, Italy, 6 June, 2013
MDM-2013, Milan, Italy, 6 June, 2013
 
A Review of Lie Detection Techniques.pdf
A Review of Lie Detection Techniques.pdfA Review of Lie Detection Techniques.pdf
A Review of Lie Detection Techniques.pdf
 
Table of Contents
Table of ContentsTable of Contents
Table of Contents
 
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
E-Healthcare monitoring System for diagnosis of Heart Disease using Machine L...
 
A Review of Lie Detection Techniques
A Review of Lie Detection TechniquesA Review of Lie Detection Techniques
A Review of Lie Detection Techniques
 
International Journal of Engineering Research and Development (IJERD)
 International Journal of Engineering Research and Development (IJERD) International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
 

More from Boston Institute of Analytics

Understanding Session Hijacking: Protecting Your Online Sessions
Understanding Session Hijacking: Protecting Your Online SessionsUnderstanding Session Hijacking: Protecting Your Online Sessions
Understanding Session Hijacking: Protecting Your Online Sessions
Boston Institute of Analytics
 
Solving Labs for Common Web Vulnerabilities: A Hands-On Guide
Solving Labs for Common Web Vulnerabilities: A Hands-On GuideSolving Labs for Common Web Vulnerabilities: A Hands-On Guide
Solving Labs for Common Web Vulnerabilities: A Hands-On Guide
Boston Institute of Analytics
 
Session Hijacking: Understanding and Preventing Online Attacks
Session Hijacking: Understanding and Preventing Online AttacksSession Hijacking: Understanding and Preventing Online Attacks
Session Hijacking: Understanding and Preventing Online Attacks
Boston Institute of Analytics
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Boston Institute of Analytics
 
Solar production with K means clustering
Solar production with K means clusteringSolar production with K means clustering
Solar production with K means clustering
Boston Institute of Analytics
 
Demystifying Salaries: A Data Science Approach to Predicting Salary Ranges
Demystifying Salaries: A Data Science Approach to Predicting Salary RangesDemystifying Salaries: A Data Science Approach to Predicting Salary Ranges
Demystifying Salaries: A Data Science Approach to Predicting Salary Ranges
Boston Institute of Analytics
 
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity PredictionMachine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
Boston Institute of Analytics
 
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
Boston Institute of Analytics
 
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital AgeCredit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Boston Institute of Analytics
 
Predictive Precipitation: Advanced Rain Forecasting Techniques
Predictive Precipitation: Advanced Rain Forecasting TechniquesPredictive Precipitation: Advanced Rain Forecasting Techniques
Predictive Precipitation: Advanced Rain Forecasting Techniques
Boston Institute of Analytics
 
Unveiling the Market: Predicting House Prices with Data Science
Unveiling the Market: Predicting House Prices with Data ScienceUnveiling the Market: Predicting House Prices with Data Science
Unveiling the Market: Predicting House Prices with Data Science
Boston Institute of Analytics
 
Beyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
Beyond Thumbs Up/Down: Using AI to Analyze Movie ReviewsBeyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
Beyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
Boston Institute of Analytics
 
Unveiling the Patterns: A Cluster Analysis of NYC Shootings
Unveiling the Patterns: A Cluster Analysis of NYC ShootingsUnveiling the Patterns: A Cluster Analysis of NYC Shootings
Unveiling the Patterns: A Cluster Analysis of NYC Shootings
Boston Institute of Analytics
 
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.org
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.orgEnhancing Cybersecurity: An In-depth Analysis of Travelblog.org
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.org
Boston Institute of Analytics
 
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRF
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRFExploring Web Security Threats: A Practical Study on SQL Injection and CSRF
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRF
Boston Institute of Analytics
 
Detecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachDetecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning Approach
Boston Institute of Analytics
 
Detecting Credit Card Fraud: An AI-driven Approach
Detecting Credit Card Fraud: An AI-driven ApproachDetecting Credit Card Fraud: An AI-driven Approach
Detecting Credit Card Fraud: An AI-driven Approach
Boston Institute of Analytics
 
Predicting House Prices: A Machine Learning Approach
Predicting House Prices: A Machine Learning ApproachPredicting House Prices: A Machine Learning Approach
Predicting House Prices: A Machine Learning Approach
Boston Institute of Analytics
 
Predicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science ProjectPredicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science Project
Boston Institute of Analytics
 
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
Boston Institute of Analytics
 

More from Boston Institute of Analytics (20)

Understanding Session Hijacking: Protecting Your Online Sessions
Understanding Session Hijacking: Protecting Your Online SessionsUnderstanding Session Hijacking: Protecting Your Online Sessions
Understanding Session Hijacking: Protecting Your Online Sessions
 
Solving Labs for Common Web Vulnerabilities: A Hands-On Guide
Solving Labs for Common Web Vulnerabilities: A Hands-On GuideSolving Labs for Common Web Vulnerabilities: A Hands-On Guide
Solving Labs for Common Web Vulnerabilities: A Hands-On Guide
 
Session Hijacking: Understanding and Preventing Online Attacks
Session Hijacking: Understanding and Preventing Online AttacksSession Hijacking: Understanding and Preventing Online Attacks
Session Hijacking: Understanding and Preventing Online Attacks
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
 
Solar production with K means clustering
Solar production with K means clusteringSolar production with K means clustering
Solar production with K means clustering
 
Demystifying Salaries: A Data Science Approach to Predicting Salary Ranges
Demystifying Salaries: A Data Science Approach to Predicting Salary RangesDemystifying Salaries: A Data Science Approach to Predicting Salary Ranges
Demystifying Salaries: A Data Science Approach to Predicting Salary Ranges
 
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity PredictionMachine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
 
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
Predicting Power Consumption for a Greener Tomorrow: Machine Learning Project...
 
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital AgeCredit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
 
Predictive Precipitation: Advanced Rain Forecasting Techniques
Predictive Precipitation: Advanced Rain Forecasting TechniquesPredictive Precipitation: Advanced Rain Forecasting Techniques
Predictive Precipitation: Advanced Rain Forecasting Techniques
 
Unveiling the Market: Predicting House Prices with Data Science
Unveiling the Market: Predicting House Prices with Data ScienceUnveiling the Market: Predicting House Prices with Data Science
Unveiling the Market: Predicting House Prices with Data Science
 
Beyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
Beyond Thumbs Up/Down: Using AI to Analyze Movie ReviewsBeyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
Beyond Thumbs Up/Down: Using AI to Analyze Movie Reviews
 
Unveiling the Patterns: A Cluster Analysis of NYC Shootings
Unveiling the Patterns: A Cluster Analysis of NYC ShootingsUnveiling the Patterns: A Cluster Analysis of NYC Shootings
Unveiling the Patterns: A Cluster Analysis of NYC Shootings
 
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.org
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.orgEnhancing Cybersecurity: An In-depth Analysis of Travelblog.org
Enhancing Cybersecurity: An In-depth Analysis of Travelblog.org
 
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRF
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRFExploring Web Security Threats: A Practical Study on SQL Injection and CSRF
Exploring Web Security Threats: A Practical Study on SQL Injection and CSRF
 
Detecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachDetecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning Approach
 
Detecting Credit Card Fraud: An AI-driven Approach
Detecting Credit Card Fraud: An AI-driven ApproachDetecting Credit Card Fraud: An AI-driven Approach
Detecting Credit Card Fraud: An AI-driven Approach
 
Predicting House Prices: A Machine Learning Approach
Predicting House Prices: A Machine Learning ApproachPredicting House Prices: A Machine Learning Approach
Predicting House Prices: A Machine Learning Approach
 
Predicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science ProjectPredicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science Project
 
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
Decoding Loan Approval with Predictive Modeling in Action Discovering Weaknes...
 

Recently uploaded

A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
AlessioFois2
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
Cell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docxCell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docx
vasanthatpuram
 
Experts live - Improving user adoption with AI
Experts live - Improving user adoption with AIExperts live - Improving user adoption with AI
Experts live - Improving user adoption with AI
jitskeb
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
exukyp
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
slg6lamcq
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
SaffaIbrahim1
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
Timothy Spann
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Lars Albertsson
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
taqyea
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
Social Samosa
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
lzdvtmy8
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
hyfjgavov
 
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
aguty
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 
Building a Quantum Computer Neutral Atom.pdf
Building a Quantum Computer Neutral Atom.pdfBuilding a Quantum Computer Neutral Atom.pdf
Building a Quantum Computer Neutral Atom.pdf
cjimenez2581
 
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
nyvan3
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Kiwi Creative
 

Recently uploaded (20)

A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
Cell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docxCell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docx
 
Experts live - Improving user adoption with AI
Experts live - Improving user adoption with AIExperts live - Improving user adoption with AI
Experts live - Improving user adoption with AI
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
 
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
一比一原版澳洲西澳大学毕业证(uwa毕业证书)如何办理
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 
Building a Quantum Computer Neutral Atom.pdf
Building a Quantum Computer Neutral Atom.pdfBuilding a Quantum Computer Neutral Atom.pdf
Building a Quantum Computer Neutral Atom.pdf
 
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
一比一原版英国赫特福德大学毕业证(hertfordshire毕业证书)如何办理
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
 

Sensing the Future: Anomaly Detection and Event Prediction in Sensor Networks

  • 1. ANOMALY DETECTION AND EVENT PREDICTION IN SENSOR NETWORKS Pratik Kamble
  • 2. INTRODUCTION Presentation title 2 Anomaly detection is a crucial task in sensor networks to identify unusual patterns that may indicate faults or malicious activities. This project focuses on developing a system for anomaly detection and event prediction in sensor networks, aiming to enhance system reliability and security.
  • 3. PROBLEM STATEMENT Presentation title The problem involves detecting anomalies in sensor data to ensure the integrity and reliability of sensor networks. Anomalies can indicate faults, errors, or potential security threats, making their detection vital for maintaining system performance and security. 3
  • 4. PROBLEM DEFINITION Presentation title Objectives: • Develop an anomaly detection system for sensor networks. • Predict events based on sensor data to anticipate potential issues. Scope: • Focus on detecting anomalies in sensor readings. • Utilize machine learning and deep learning techniques for analysis. 4
  • 5. DATASET DESCRIPTION Presentation title The dataset consists of sensor data collected from various nodes in a sensor network. It comprises five features: Area, Sensing Range, Transmission Range, Number of Sensor Nodes, and Number of Barriers. Total samples: 182. 5
  • 6. DATA PREPROCESSING Presentation title Data preprocessing steps: • Handling missing values, duplicates, and outliers. • Feature scaling for standardization. Standardization ensures that all features have a similar scale, preventing certain features from dominating the analysis. 6
  • 7. ANOMALY DETECTION METHODOLOGY Presentation title Methods Used: • K-means clustering for unsupervised anomaly detection. • Deep learning with Keras Sequential and TensorFlow for more complex pattern recognition. Approach: • Train models on preprocessed data to identify anomalies in sensor readings. 7
  • 8. EVALUATION METRICS Presentation title 8 Evaluation metrics: • Silhouette score for K-means clustering to assess cluster separation. • Number of anomalies detected by deep learning models.
  • 9. RESULTS Presentation title 9 Summary of Results: • Silhouette score obtained from K-means clustering: 0.57 • Two anomalies detected by deep learning models. User Input Prediction: • The system predicts anomalies based on user input, providing real-time anomaly detection capabilities.
  • 10. FUTURE SCOPE Presentation title Future Research Areas: • Incorporating additional features for enhanced anomaly detection. • Exploring other machine learning and deep learning techniques for improved performance. 10
  • 11. Presentation title 11 CONCLUSION Summary of Project: • Developed an anomaly detection system for sensor networks using machine learning and deep learning techniques. Key Findings: • Achieved a silhouette score of 0.57 with K-means clustering. • Successfully detected anomalies using deep learning models. Significance: • Enhances system reliability and security in sensor networks.
  • 12. ANY QUESTIONS? Feel free to ask any questions.