4th international conference on internet of things and Connected technologies (ICIoTCT), 2019

Advances in Intelligent Systems and Computing 1122

Neeta Nain

Santosh Kumar Vipparthi   Editors

4th International

Conference

on Internet of Things

and Connected

Technologies

(ICIoTCT), 2019

Internet of Things and Connected

Technologies

Advances in Intelligent Systems and Computing

Volume 1122

Series Editor

Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,

Warsaw, Poland

Advisory Editors

Nikhil R. Pal, Indian Statistical Institute, Kolkata, India

Rafael Bello Perez, Faculty of Mathematics, Physics and Computing,

Universidad Central de Las Villas, Santa Clara, Cuba

Emilio S. Corchado, University of Salamanca, Salamanca, Spain

Hani Hagras, School of Computer Science and Electronic Engineering,

University of Essex, Colchester, UK

László T. Kóczy, Department of Automation, Széchenyi István University,

Gyor, Hungary

Vladik Kreinovich, Department of Computer Science, University of Texas

at El Paso, El Paso, TX, USA

Chin-Teng Lin, Department of Electrical Engineering, National Chiao

Tung University, Hsinchu, Taiwan

Jie Lu, Faculty of Engineering and Information Technology,

University of Technology Sydney, Sydney, NSW, Australia

Patricia Melin, Graduate Program of Computer Science, Tijuana Institute

of Technology, Tijuana, Mexico

Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro,

Rio de Janeiro, Brazil

Ngoc Thanh Nguyen , Faculty of Computer Science and Management,

Wrocław University of Technology, Wrocław, Poland

Jun Wang, Department of Mechanical and Automation Engineering,

The Chinese University of Hong Kong, Shatin, Hong Kong

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Neeta Nain • Santosh Kumar Vipparthi

Editors

4th International Conference

on Internet of Things

and Connected Technologies

(ICIoTCT), 2019

Internet of Things and Connected

Technologies

123

Editors

Neeta Nain

Department of Computer Science

and Engineering

Malaviya National Institute of Technology

Jaipur, Rajasthan, India

Santosh Kumar Vipparthi

Department of Computer Science

and Engineering

Malaviya National Institute of Technology

Jaipur, Rajasthan, India

ISSN 2194-5357 ISSN 2194-5365 (electronic)

Advances in Intelligent Systems and Computing

ISBN 978-3-030-39874-3 ISBN 978-3-030-39875-0 (eBook)

https://doi.org/10.1007/978-3-030-39875-0

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ICIoTCT 2019 Preface

ICIoTCT is a platform to discuss advances in the Internet of Things (IoT) and

Connected Technologies (various protocols, standards, etc.). The recent adoption of

a variety of enabling wireless communication technologies like RFID tags, BLE,

ZigBee, etc. and embedded sensor and actuator nodes, and various protocols like

CoAP, MQTT, DNS, etc. has made IoT to step out of its infancy.

Now smart sensors can collaborate directly with the machine without human

involvement to automate decision making or to control a task. Smart technologies

including green electronics, green radios, fuzzy neural approaches and intelligent

signal processing techniques play important roles for the developments of the

wearable health care systems. This conference aims at providing a forum to discuss

the recent advances in enabling technologies and applications for IoT.

In addition to the main track, several special sessions were collocated with the

conference, covering a wide range of related topics:

• Internet of Things: Modeling and Framework

• Internet of Things: Advances and Applications

• Internet of Things: Hardware and Architecture Dependencies

• Advances in Computational Intelligence, Computer Vision and Cloud Computing

• Recent Trends and Application in Science, Engineering and Health Care

• Security for IoT-Enabled Web, Big Data and Cloud Services

• Related Trends and Services in IoT and Conventional Technologies

About 105 original submissions were received from around the world. A total of

41 papers are selected for presentation and publication in the conference pro￾ceedings. In order to maintain high quality, a peer review process was carried out by

each special session and conference. Each paper received at least two, and several

received up to five reviews. The papers are evaluated on their relevance to special

sessions or main conference topics, scientific correctness and clarity of presentation.

The success of the conference owes to the dedication of many who have con￾tributed in many different ways to select a fine scientific mix of papers and exciting

social events for the conference program. First, we acknowledge the commitment

and hard work of the special session and chairs who have kept the scientific

v

program in focus and made the discussions interesting and invaluable. We recog￾nize the commitment and contributions of the program committee members and the

extra reviewers for evaluating the papers on a very tight time schedule. We could

not have done it without them.

Next, our heartfelt gratitude goes to our academic sponsor institutions for their

cooperation, support and assistance: Malaviya National Institute of Technology

Jaipur, India, Center for Global Management, California State University, San

Bernardino, and research group at IAASSE, USA. Most importantly, we thank the

authors for submitting and trusting their work to the conference.

We thank the Conference Honorary Chair, Prof. Udaykumar R Yaragatti

(Director, MNIT Jaipur). We are most grateful to our Keynote Speakers Dr. Kumar

Padmanabh, Senior Scientist in a research laboratory of British Telecom in Abu

Dhabi, and Prof. Nishchal Kumar Verma, IIT Kanpur, for their enlightening talks

and support. Last, we thank all the members of the local organizing committee. We

hope the scientific program of ICIoTCT 2019 lives up to your expectations. In

addition to the scientific program, we really hope that you found time to discover

and appreciate the beautiful sights and events in and around Jaipur.

Neeta Nain

Santosh Kumar Vipparthi

General Chairs

vi ICIoTCT 2019 Preface

Organization

Program Chairs

Neeta Nain Malaviya National Institute of Technology

Jaipur, India

Santosh Kumar Vipparthi MNIT Jaipur, India

vii

ICIoTCT2019 Acknowledgements

Malaviya National Institute of Technology Jaipur, India

Center for Global Management, California State University, San Bernardino

International Association of Academicians (IAASSE), CA, USA

ix

Contents

A Structural Feature Based Automatic Vehicle Classification

System at Toll Plaza ........................................ 1

Vivek Singh, Amish Srivastava, Snehal Kumar, and Rajib Ghosh

Classification of Chronic Kidney Disease with Genetic Search

Intersection Based Feature Selection Technique ................... 11

Sanat Kumar Sahu and Prem Kumar Chandrakar

Analysis of Wormhole Detection Features in Wireless

Sensor Networks .......................................... 22

Manish Patel, Akshai Aggarwal, and Nirbhay Chaubey

Propagating Minimal Messages Using Multi Set-Cover

in Wireless Ad-Hoc Network ................................. 30

Sadia Sharmin

Multi Header Based Ultra Low Power MTCMOS Technique

to Reduce NBTI Effect in Combinational Circuit .................. 44

Anjan Kumar, Shelesh Krishna Saraswat, Preeti Agrawal,

and Shweta Singh

Task Allocation in Distributed Real Time Database Systems in IoT ... 54

Shetan Ram Choudhary and C. K. Jha

Optimization of Block Diagonalization for MU-MIMO Downlink

System Using PSO ......................................... 69

Archana Doneriya, Manish Panchal, and Jaya Dipti Lal

Simulation Analysis of DDoS Attack in IoT Environment ........... 77

Vikash Kumar, Vivek Kumar, Ditipriya Sinha, and Ayan Kumar Das

Blockchain Application Framework for Priority Metric Based

Academic Record Repository ................................. 88

Ajita Banerjee, Arman Singhal, Lokesh Gujral, and Kavita Choudhary

xi

Design of Attribute Based Authenticated Group Key Agreement

Protocol Without Pairing .................................... 95

Reshu Verma and Abhimanyu Kumar

A Pairing Free Attribute-Based Authenticated Key Agreement

Protocol Using ECC ........................................ 105

Reshu Verma and Abhimanyu Kumar

Analysis of MEMS and Metamaterial Based Sensors

and Its Involvement in Nanotechnology ......................... 115

Bhupendra Sharma, Shraddha Gupta, Ashwani Yadav,

and Rahul Runthala

High Gain Patch Array Antenna for 5G Network Communication

and IoT Applications ....................................... 126

Kishana Ram Kashwan

Authentication and Privacy Preservation in IoT Based Forest Fire

Detection by Using Blockchain – A Review ...................... 133

Sreemana Datta, Ayan Kumar Das, Abhijeet Kumar, Khushboo,

and Ditipriya Sinha

An IoT Based Agri-Cloud Architectural Framework for Monitoring

Presence of Fertilizer Under Multilayered Soil Farming ............ 144

Nikhil V. Bhende, Jayant K. Purohit, and Anup A. Junankar

Analysis of Web Usage Patterns to Identify Most Frequently

Accessed Web Page by Multiple Users .......................... 151

Priyanka Verma and Nishtha Kesswani

A Composite Technique to Fortify Security for DaaS Services

in Cloud Environment ...................................... 160

Samarjeet Yadav, Pratishtha Saxena, Neelam Dayal, and Shiv Prakash

Performance of Dual-Input Storage Based Induction Motor Drive

for Electric and Fuel Cell Hybrid Electrical Vehicle Applications ..... 170

Narayan Yadav, Sushma Gupta, and Tripta Thakur

A Lightweight Authentication Scheme for RFID Using ECC ......... 177

Atul Kumar and Ankit Kumar Jain

Lean and Industry 4.0 Strive to Create Smart Factory Through

Integration of Systems: An Exploratory Review................... 184

Hardik Majiwala, Suresh Sharma, and Pankaj Gandhi

User Authentication in VANET Using SGSK

(Self Generated Session Key) ................................. 196

Lal Singh and Ram Bahadur Patel

xii Contents

Grid Scrutinize Based Heuristic Sensor Node Scheduling Protocol

with Partial Coverage Constraint in WSN ....................... 204

Anamika Sharma and Siddhartha Chauhan

Intensity Transformation Fusion of Landsat 8 Thermal Infrared

(TIR) Imagery ............................................ 214

Kul Vaibhav Sharma, Sumit Khandelwal, and Nivedita Kaul

Efficient Spectrum Provisioning in Elastic Optical Networks ......... 221

Neha Mahala and Jaisingh Thangaraj

Intrusion Detection and Prevention Mechanism Implemented Using

NS-2 Based on State Context and Hierarchical Trust in WSNs ....... 229

Abhishek Vyas and Satheesh Abimannan

Hardware Design of 8
8 and 16
16 2D Discrete Cosine

Transform with N/2 Equations for Image Compression ............. 241

Nikhil C. Bichwe and Rahul Kumar Chaurasiya

Security and Efficiency Analysis of Anti-jamming Techniques ........ 251

S. Kshipra Prasadh and Sumit Kumar Jindal

Generalized Dynamic Multilayer Fog Computing Architecture ....... 260

K. P. Arjun and S. Mary Saira Bhanu

An Efficient Quantum Key Management Scheme .................. 269

Vishal and S. Taruna

Privacy Threat Model for IoT ................................ 278

Shelendra Kumar Jain and Nishtha Kesswani

IoT Based Smart Luggage Monitor Alarm System ................ 294

Sowmya Valluripally, Deepak Sukheja, Kriti Ohri, and Suyash K. Singh

Text Steganography Based on Parallel Encryption Using

Cover Text (PECT) ........................................ 303

Subhash Panwar, Mukesh Kumar, and Sakshi Sharma

Intelligence in Station-of-Things ............................... 314

Soumya Saha, Tejashree Bhave, and Manisha Nene

Mathematical Modeling and Numerical Simulation

of a Double Touch-Mode Pressure Sensor with Graphene

as the Sensing Element ...................................... 321

Smiti Tripathy, Shiyona Dash, and Sumit Kumar Jindal

Quality Evaluation Model for Multimedia Internet of Things

(MIoT) Applications: Challenges and Research Directions........... 330

Malaram Kumhar, Gaurang Raval, and Vishal Parikh

Contents xiii

A Study of Intrusion Detection System in Wireless Sensor Network ... 337

Atul Agarwal and Narottam Chand Kaushal

Energy Oriented Routing in Wireless Sensor Networks:

Hardware Implementation ................................... 344

Dipanshu and A. Nagaraju

Text Detection Using Maximally Stable External Regions

and Stroke Width Variation .................................. 358

Nishant Singh, Vivek Kumar, and Charul Bhatnagar

Digital Image Steganography Using Modified LSB

and AES Cryptography ..................................... 366

Subhash Panwar, Mukesh Kumar, and Sakshi Sharma

Design and Implementation of AES on FPGA for Security

of IOT Data .............................................. 376

Dinesh B. Bhoyar, Shelly R. Wankhede, and Swati K. Modod

Author Index................................................ 385

xiv Contents

A Structural Feature Based Automatic

Vehicle Classification System at Toll

Plaza

Vivek Singh, Amish Srivastava, Snehal Kumar, and Rajib Ghosh(B)

National Institute of Technology Patna, Patna 800005, India

[email protected]

Abstract. Most of the existing toll collection systems in vehicle toll

plazas in India are manual in nature. Automation of toll collection sys￾tems at toll plazas will make the system a lot faster and fraud-free. The

primary task for building such a system is to classify the vehicles arriv￾ing at toll plazas because accordingly the amount of toll varies. Most of

the existing works in this regard have focused on tracking and detect￾ing of on-road vehicles, but very few of them tried to classify the vehi￾cles. This article presents a novel machine learning based approach to

detect vehicles arriving in toll plazas along with their types or classes. In

this approach, various structural features are extracted from each vehi￾cle before feeding those features to different classifiers. An exhaustive

experiment has been performed on a large self-generated dataset using

five different classifiers - Gaussian naive Bayes, Multinomial naive Bayes,

Logistic regression, Random forest and Support Vector Classifier (SVC).

An encouraging accuracy of 96.15% is obtained from the present system.

Keywords: Traffic monitoring · Vehicle type identification · Toll

plaza · Structural features · Machine learning

1 Introduction

Most of the current toll collection systems in different vehicle toll plazas in India

are human-controlled. Presence of humans in toll collection leads to chances

of corruption and other fraudulent activities in toll plaza. As per the available

data1, Indian government earned more than Rs. 6700 crore through toll fee in

2015–16 financial year. It includes only human-controlled toll collection systems

without any surveillance over them and without any proper full proof and reli￾able bookkeeping. Presently, bookkeeping is done at toll plazas by the staffs

themselves working there. So, if they misplace even 10% of daily revenue then

country will be losing around Rs. 670 crores in a year.

One possible solution of this problem is to install a surveillance system which

will maintain the record of total earned revenue properly on a central database

1 http://164.100.47.190/loksabhaquestions/annex/11/AS110.pdf.

c The Editor(s) (if applicable) and The Author(s), under exclusive license to

Springer Nature Switzerland AG 2020

N. Nain and S. K. Vipparthi (Eds.): ICIoTCT 2019, AISC 1122, pp. 1–10, 2020.

https://doi.org/10.1007/978-3-030-39875-0_1

2 V. Singh et al.

system and be independent from the control of employees of toll plaza. A rea￾sonable number of works [1,3,4,5–7,9] are available towards on-road tracking and

detecting of vehicles, but a very little number of studies [17,18] exist on vehicle

classification which is essential to develop an automated toll collection system

at toll plazas because toll amount varies with types or classes of vehicles such

as light weight, medium weight and heavy weight. The present work proposes

a novel machine learning based approach to detect vehicles in toll plazas along

with their types or classes. The overall framework of the proposed system is

shown in Fig. 1. Initially, after acquiring the natural scene color video images of

moving vehicles passing by the toll plaza using a high quality camera, each of its

frame gets converted into gray-scale form. Next, background subtraction is per￾formed between two consecutive frames to remove the stationary and unwanted

objects and keep the vehicular portion only. Various structural features are then

extracted from the vehicular portion. Finally, these features are studied using

five different classifiers - Gaussian naive Bayes, Multinomial naive Bayes, Logis￾tic regression, Random forest and Support Vector Classifier (SVC), to classify

the vehicles in their respective classes. The novelty of the present work lies in

the fact that it classifies each tracked vehicle using machine learning approach

based on several structural features.

Fig. 1. Overall framework of the proposed system.

The remaining portions of this paper are arranged as follows. Section 2 details

the related works. Method of data collection and dataset creation is discussed in

Sect. 3. The proposed method is presented in Sect. 4. Classification technique and

experimental results are discussed in Sect. 5. Section 6 presents the conclusion of

this paper and future works that can be done in this research area.

2 Literature Survey

As already mentioned, although a reasonable number of studies are available

towards on-road tracking and detecting of vehicles, but to the best of our knowl￾edge, very few studies exist on vehicle classification which is essential to develop

an automated toll collection system at toll plazas. Few of the related works are

discussed below.

Tai et al. [1] proposed a tracking system for traffic monitoring and accident

detection at road intersections. Active contour model approach was used to get