Table Of ContentSuresh Balusamy · Alexander N. Dudin ·
Manuel Graña · A. Kaja Mohideen ·
N. K. Sreelaja · B. Malar (Eds.)
Communications in Computer and Information Science 1213
Computational Intelligence,
Cyber Security and
Computational Models
Models and Techniques
for Intelligent Systems and Automation
4th International Conference, ICC3 2019
Coimbatore, India, December 19–21, 2019
Revised Selected Papers
Communications
in Computer and Information Science 1213
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Suresh Balusamy Alexander N. Dudin
(cid:129) (cid:129)
ñ
Manuel Gra a A. Kaja Mohideen
(cid:129) (cid:129)
N. K. Sreelaja B. Malar (Eds.)
(cid:129)
Computational Intelligence,
Cyber Security and
Computational Models
Models and Techniques
for Intelligent Systems and Automation
4th International Conference, ICC3 2019
–
Coimbatore, India, December 19 21, 2019
Revised Selected Papers
123
Editors
SureshBalusamy Alexander N.Dudin
PSGCollegeof Technology Belarusian State University
Coimbatore, India Minsk,Belarus
Manuel Graña A.KajaMohideen
University of the BasqueCountry PSGCollegeof Technology
Leioa, Spain Coimbatore, India
N.K.Sreelaja B. Malar
PSGCollegeof Technology PSGCollegeof Technology
Coimbatore, India Coimbatore, India
ISSN 1865-0929 ISSN 1865-0937 (electronic)
Communications in Computer andInformation Science
ISBN 978-981-15-9699-5 ISBN978-981-15-9700-8 (eBook)
https://doi.org/10.1007/978-981-15-9700-8
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Preface
The contemporary growth in the dynamic realms of software, hardware, and net-
workingleadstoabundantscopeinresearchanddevelopmentofcomputerscienceand
its thrust areas. To provide a broad spectrum of interdisciplinary research forum, a
biennial International Conference on Computational Intelligence, Cyber Security, and
Computational Models (ICC3 2019) was organized by the Department of Applied
Mathematics and Computational Sciences of PSG College of Technology, India,
during December 19–21, 2019.
The key objective of this conference is to cover the state-of-the-art scientific
approaches, technologies, tools, case studies, and findings to explore the cutting-edge
ideas and to promote collaborative research inthe areas of computational intelligence,
cyber security, and computational models to enable establishing research relations
worldwide under the theme of “Contemporary Models and Applications for Compu-
tational Paradigms.”
Computational intelligence encompasses a broad set of techniques such as neural
networks,fuzzysystems,evolutionarycomputation,andnature-inspiredcomputational
methodologies to address complex real-world problems. This track aims to bring out
noveltechniquesfor computationandvisualization, findsolutionsfor computationally
expensive problems, and explore data within them, be it classification, clustering, or
feature engineering.
The increasing use of the internet and social media has made cyber security more
important. Cyber security is of paramount importance for government organizations
and is a vital asset to the nation. Growing cyber threats such as data theft, phishing
scams, and other cyber vulnerabilities demand that users remain vigilant about pro-
tecting their data. The cyber security track in this conference aims to bring together
researchers, practitioners, developers, and users to explore cutting-edge ideas and end
results.
Computational models are mathematical models that are simulated using compu-
tation to study complex systems from the effects of drugs on the body to the interac-
tionsofnationsintheglobaleconomy.Thisconferenceprovidesawindowtothenovel
endeavorsof theresearch communities bypublishingtheirworksandhighlighting the
value of computational modeling as a research tool when investigating complex sys-
tems. This track aims at fostering research interactions in all aspects of computational
science and engineering, and focuses on developing computational models needed to
meet the demands of computer systems users, while exploring the new potential of
computation engines.
TherehasbeenanincreaseinsubmissionstoICC32019overthepastfeweditions.
This year, we received 37 papers in total, and accepted 9 papers (24.32% percent).
Each submitted paper went through a rigorous review process.
We would like to express our sincere gratitude to all the keynote speakers, Inter-
national Advisory Committee, authors, Program Committee, and reviewers for their
vi Preface
invaluablecontributionstothesuccessofthisconference.Wealsoextendourwarmest
gratitudetoSpringerfortheircontinuedsupportinpublishingtheICC3proceedingson
time and in excellent production quality. The partial support from the sponsors
Cognizant Technologies, Council of Scientific and Industrial Research, 24[7], and
Defense Research and Development Organization (DRDO) is acknowledged.
Being a strong and stimulating event towards a diligent and interdisciplinary
research amidst scholars, we hope this tradition will continue in the future. The next
ICC3 conference will be held at PSG College of Technology, India, in 2021.
September 2020 Suresh Balusamy
Alexander N. Dudin
Manuel Graña
A. Kaja Mohideen
N. K. Sreelaja
B. Malar
Organization
Chief Patron
L. Gopalakrishnan PSG & Sons Charities Trust, India
Patron
K. Prakasan PSG College of Technology, India
Organizing Chair
R. Nadarajan PSG College of Technology, India
Program Chair
Suresh Balusamy PSG College of Technology, India
Computational Intelligence Track Chair
Kaja Mohideen A. PSG College of Technology, India
Cyber Security Track Chair
Sreelaja N. K. PSG College of Technology, India
Computational Models Track Chair
Malar B. PSG College of Technology, India
Advisory Committee Members
Anitha R. PSG College of Technology, India
Sai Sundara Krishnan G. PSG College of Technology, India
Lekshmi R. S. PSG College of Technology, India
Senthil Kumar M. PSG College of Technology, India
Geetha N. PSG College of Technology, India
Bella Bose Oregon State University, USA
Alexander Rumyantsev Petrozavodsk State University, Russia
Rein Nobel Vrije University, The Netherlands
Contents
Computational Intelligence
Comparing Community Detection Methods in Brain Functional
Connectivity Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Reddy Rani Vangimalla and Jaya Sreevalsan-Nair
A Network Embedding Approach for Link Prediction
in Dynamic Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
Aswathy Divakaran and Anuraj Mohan
IDK My Friends: Link Analysis on Social Networks to Mine
Surprise Connections. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Sai Praveen Mylavarapu and Shubhashri Govindarajan
Prediction of Patient Readmission Using Machine Learning Techniques. . . . . 36
V. Diviya Prabha and R. Rathipriya
Cyber Security
An Evaluation of Convolutional Neural Networks for Malware
Family Classification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Shreya Davis, C. N. Sminesh, K. S. Akshay, T. R. Akshay,
and Anjali Ranjith
An Exploration of Changes Addressed in the Android Malware
Detection Walkways . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Rincy Raphael and P. Mathiyalagan
DCNN-IDS: Deep Convolutional Neural Network Based Intrusion
Detection System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
S. Sriram, A. Shashank, R. Vinayakumar, and K. P. Soman
DeepLearningBasedFrameworksforHandlingImbalanceinDGA,Email,
and URL Data Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93
K. Simran, Prathiksha Balakrishna, Ravi Vinayakumar,
and K. P. Soman
x Contents
Computational Models
An M/M/1 Queueing Model Subject to Differentiated Working Vacation
and Customer Impatience. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
K. V. Vijayashree and K. Ambika
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
