Information System Design: Communication Networks and Internet of Things
Description
This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from 3-4 January 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.
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Persons
Vikrant Bhateja is an associate professor in Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in Bio-Medical Imaging (ECE) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue" in 2016. Among the international conference publications, four papers have received "Best Paper Award". He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date.
Zeenath Reza Khan is the founding president and board member of the ENAI WG Centre for Academic Integrity in the UAE, associate professor of Responsible Information Systems at Faculty of Engineering and Information Sciences at University of Wollongong in Dubai, and recently elected board member for European Network for Academic Integrity (ENAI). She has been teaching in the Faculty of Engineering and Information Sciences at the university since 2001. Having received several internal and external grants from UOWD, UOW, and other entities, Dr. Khan is a national and international award-winning academic with more than 80 publications to her name and edited books titled Integrity in Education for Future Happiness (2021) and Ethics and Integrity in Teacher Education by Springer (2023). Considered a Tier one speaker, Dr. Khan's research interests are in academic integrity, ethics in IT, teaching and learning, and STEM for girls.
Milan Simic holds Ph.D., Masters, and Bachelor of Electronics Engineering, and Graduate Diploma in Education. He is currently with RMIT University, School of Engineering. For his innovations and other contributions, he has received prestigious awards and recognitions. Dr. Simic is a member of large number of engineering and science associations.
Dilip Kumar Sharma is B.E.(CSE), M. Tech. (CSE), and Ph.D. in Computer Engineering. He is a senior member of IEEE, ACM, and CSI. He is a fellow of IE and IETE. Presently, he is working at GLA University, Mathura, in the capacity of Dean-International Relations and Academic Collaborations since 1 June 2022 and professor in the Computer Engineering & Applications Department. Previous to it, he served in the capacity of Associate Dean (Academic Collaborations), GLA University from 22 June 2019 to 31 May 2022. He facilitated the signing of more than 160 MoUs/ Academic Collaborations in the last three years with acclaimed institutions, academia, and research centres-nationally and internationally along with renowned government agencies, bodies, and corporate entities. He is working as a professor in Department of Computer Engineering & Applications, GLA University Mathura from 27 March 2003 to till now.
Content
Image Encryption with a Hybrid Chaotic Map for Improved Security.- Detecting Cybersecurity Threats Using Convolutional Neural Networks and Machine Learning.- Emerging cyber threats in the quantum era: from neural hacking to space communication vulnerabilities.- Enhancing network efficiency and optimization : A graph-theoretic approach.- Network Forensics: Techniques, Challenges, and Incident Response.- A Systematic Review of Cloud Security: Architectures, Adoption Challenges, and Emerging Trends.- An Improved Model for Deep Dive Phishing Detection.- BiD-Phish: Bilingual Deep Learning method for Phishing Email Detection for English and Arabic Using CNN and Particle Swarm Optimization.- Steganography techniques in medical images, a systematic review.- Intrusion Detection in VANETs: A Comparative Study of Machine Learning and Deep Learning Models.- YouTube Video Categorization for Targeted Advertise-ment Recommendations using Machine Learning.- Using Machine Learning Algorithms for Anomalies Detection in Modern Wireless Communication Systems.- Botnet Detection and Classification from Network Traffic Byte Streams using Deep Learning.- Leveraging Users' Point of "Interest" For User Adaptive Video Summarization.