SNSFAIT 2024 proceedings published

Conference Schedule 

 
About the International Conference

Recent advancements in computing and communication technologies have allowed the development of connected systems that depend primarily on IoT and Edge technologies. However, for the efficient adoption of connected healthcare, the security and privacy of next-generation smart healthcare systems are important challenges. Future technologies such as Blockchain and Machine Learning (ML) are pioneering system security solutions to aid in the effective rollout. In this context, this special section will concentrate on the crucial aspects of IoT security in a connected healthcare environment, which will not only benefit from cutting-edge methodological approaches but also assist in the rapid scalability and improvement of these systems. The objective is to utilise technologies like blockchain in an intelligent city IoT environment for communication, data security and trust management.

The Second International Conference on Securing Next-Generation Systems using Future Artificial Intelligence Technologies  is organised with the objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Next Generation Systems to a common forum.



 


Conference Topics
• IoT security and privacy
• Security and trust in smart city and IoT environments leveraging ultra-lightweight cryptography
• QoE/QoS in IoT/edge
• IoT applications benefit from distributed and federated learning.
• Cryptology: Theory and Applications in IoT
• Access management in connected healthcare IoT
• Detection, Protection, and Prevention in a Cyber-threat-Free IoT environment
• Simulation and performance evaluation mechanisms for IoT networks
• 5G innovations for IoTs 
• ML-based IoT applications
• Blockchain-based IoT infrastructures
• Blockchain security connecting different IoT protocols
• Digital Twin for IoT systems






Publications

All the accepted papers of SNSFAIT 2024 will be published as proceedings of SNSFAIT by CEUR Workshop Proceedings indexed by Scopus and other leading databases.

For Scopus, check the indexing: https://www.scopus.com/sourceid/21100218356. 

A Few selected high-quality papers will be published in Intelligent Decision Technologies (IDT), IOS Press,  indexed by Scopus

Track-1

Track-2

Track-3

Publication in CEUR Workshop Proceedings indexed by SCOPUS

Publication in Intelligent Decision Technologies (IOS Press) indexed by SCOPUS & ESCI

Publication in International Journal on Web Information Systems (Emerald) indexed by SCOPUS & ESCI

·          IoT security and privacy

·          Security and trust in smart city and IoT environments leveraging ultra-lightweight cryptography

·          Computer Science and Applications for Defence Modelling & Simulation Domain

·          QoE/QoS in IoT/edge
IoT applications benefit from distributed and federated learning.

·          Cryptology: Theory and Applications in IoT

·          Modeling, Simulation, Systems Analysis for Defence Application

·          Access management in connected healthcare IoT
Detection, Protection, and Prevention in a Cyber-threat-Free IoT environment

·          Simulation and performance evaluation mechanisms for IoT networks

·          5G innovations for IoTs 
ML-based IoT applications

·          Blockchain-based IoT infrastructures

·          Blockchain security connecting different IoT protocols
Digital Twin for IoT systems

·          Systems Evaluation Studies

·          Combat Model Development

·          Operations Research and Decision Support Techniques

The scope of the journal includes, but is not limited to, the following topics:-

intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, knowledge management systems, learning systems, multi-criteria systems that have the potential to support decision making.

Possible application areas are:-

management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, human interfaces.

We cordially invite submissions that explore the multifaceted aspects of this stimulating field, encompassing, but not restricted to the following:

·          Differential Privacy: Implementing differential privacy mechanisms to anonymize individual contributions to AI models, preventing the extraction of specific information about any single user.

·          Homomorphic Encryption: Employing homomorphic encryption techniques to perform computations on encrypted data, allowing AI algorithms to operate on sensitive information without directly accessing it.

·          Federated Learning: Embracing federated learning approaches where AI models are trained across decentralized devices, ensuring that sensitive data remains on users' devices and is not transmitted to a central server.

·          Privacy-Preserving Machine Learning Algorithms: Utilizing machine learning algorithms designed with privacy in mind, such as federated versions of popular algorithms, to prevent the exposure of individual data points.

·          Tokenization and Masking: Employing tokenization and masking techniques to replace sensitive data with non-sensitive placeholders, allowing AI models to learn patterns without access to the actual private information.

·          Secure Multi-Party Computation (SMPC): Implementing SMPC protocols to enable multiple parties to jointly compute a function over their inputs while keeping those inputs private, a crucial aspect in collaborative AI services.

·          Privacy-Aware Model Training: Integrating privacy-aware training methodologies that prioritize the protection of user-specific information during the model training phase.

·          Consent Mechanisms and Transparency: Establishing clear consent mechanisms for users to opt-in or opt-out of data usage for AI, coupled with transparent communication about how AI processes and retains data.

·          Policy-Based Access Controls: Enforcing fine-grained access controls based on privacy policies, ensuring that only authorized entities have access to specific AI models or data subsets.

·          Data Minimization: Adopting a data minimization strategy by only collecting and retaining the minimal amount of data necessary for AI model training and inference.

·          Algorithmic Fairness and Bias Mitigation: Addressing algorithmic fairness concerns and biases in AI models to ensure that privacy-preserving measures do not inadvertently discriminate against certain groups.

·          Continuous Monitoring and Auditing: Implementing continuous monitoring and auditing mechanisms to track AI model behavior and ensure ongoing adherence to privacy-preserving principles.

 

 






Important Dates for paper submission

Submission Deadline:                          25th May 2024

Notification of Accept/Reject:             1st June 2024

Registration Deadline:                         10th June 2024

Final Paper Due:                                  15th June 2024





Previous Speakers of SNSFAIT

           
 Prof. Manu Malek, Nokia Bell Labs, Stevens Institute of Technology, New Jersey, USA  Prof. Oscar Castillo, Tijuana Institute of Technology, Mexico  Prof. Pravin Chandra, Dean, USICT, GGSIPU, India

Dr. Korhan Cengiz, College of Information Technology, University of Fujairah, UAE.

 

Dr. E.S. Pilli, Malaviya, National Institute of Technology Jaipur, India

 		  Dr. Kallol Krishna Karmakar, University of Newcastle Australia

 

         
Prof. Vivek Bohara, Head, ECE Department, IIIT, Delhi, India Dr. Preeti Mishra, Doon University Dehradun, India

Dr. Ayoub Khan, University of Bisha, Saudi Arabia

Prof. A.K. Singh, National Institute of Technology Kurukshetra, India

Dr. Ali Ismail Awad, Lulea University of Technology, Sweden

 

Dr. Mohiuddin Ahmed, Edith Cowan University Joondalup, Australia






Paper Submission

The Original unpublished Research Papers having minimum length of 10 "standard" pages (1 standard page = 2500 characters) on the topics related to the theme are invited for presentation/publication in the Conference proceedings. 

  1. Authors need to use the uniform CEURART style for the papers. You can choose either the 1-column style as the uniform style for your proceedings. The CEURART styles can be found from the zip
  2. All papers must be submitted online via Microsoft CMT (Link:  https://cmt3.research.microsoft.com/SNSFAIT2024)
  1. All submissions will be thoroughly peer-reviewed by experts based on originality, significance and clarity.
  2. Only papers presenting original content with novel research results or successful innovative applications will be considered for publication in the Conference proceedings.

Author agreement variants

  1. AUTHOR-AGREEMENT (NTP): Authors shall use this form if they included no copyrighted third party material in their paper text (or accompanying sources, datasets). This is the right variant in most cases.
  2. AUTHOR-AGREEMENT (TP): Authors shall use this form if they did include copyrighted third party material in their paper or accompanying material. They must then also attach a copy of the permission by the third party to use this material in the signed author agreement!

Plagiarism Policy

  1. The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 15% (in any case either self contents or others). Further, you have to strictly implement the following ethical guidelines for publication:
  2. Any form of self-plagiarism or plagiarism from others' work(s) should not be there in an article. 
  3. If any model / concept / figure / table / data / conclusive comment by any previously published work is used in your article, you should properly cite a reference to the original work.
  4. Also language of explaining it should not be same as language of the work from which you have adopted it. 
  5. If you are using any copyrighted material, you should acquire prior permission from the copyright holder. 


Organizing Committee 

  • CHIEF PATRON(S)
    • DR. NAND KISHORE GARG (FOUNDER CHAIRMAN, MATES & CHANCELLOR, MAU)
    • SHRI VINEET KUMAR LOHIA (CHAIRMAN MATES)
  • PATRON(S)
    • PROF. M.L. GOYAL (VICE-CHAIRMAN, ACADEMICS, MATES)
    • PROF. NEELAM SHARMA (DIRECTOR, MAIT)
    • PROF. S.S. DESWAL (DEAN ACADEMICS, MAIT)
  • HONORARY CHAIR
    • PROF. MANU MALEK (NOKIA BELL LABS, STEVENS INSTITUTE OF TECHNOLOGY, NEW JERSEY,USA)
  • GENERAL CHAIR
    • PROF. NAMITA GUPTA (HOD, CSE, MAIT)
  • CONFERENCE CHAIR(S)
    • PROF. GEORGE A. TSIHRINTZIS, UNIVERSITY OF PIRAEUS, GREECE
    • PROF. HONGHAO GAO, SHANGHAI UNIVERSITY - PEOPLE'S REPUBLIC OF CHINA
    • PROF. PRAVIN CHANDRA, DEAN, USICT, GGSIPU, INDIA
    • DR. DEEPAK GUPTA (CSE DEPT, MAIT)
  • PROGRAM CHAIR(S)
    • PROF. AMIT PRAKASH SINGH (USICT, GGSIPU, DELHI)
    • DR. ASHISH KHANNA (CSE DEPT, MAIT)
  • TECHNICAL PROGRAM CHAIR(S)
    • PROF. OSCAR CASTILLO (TIJUANA INSTITUTE OF TECHNOLOGY, MEXICO)
  • ORGANIZING CHAIR(S)
    • MR. ANUPAM KUMAR (CSE DEPT, MAIT)
    • DR. FARZIL KIDWAI (CSE DEPT, MAIT)
    • MS. KAVITA SAXENA (CSE DEPT, MAIT)
  • CONVENER(S)
    • MRS. RUCHI GOEL (CSE DEPT, MAIT)
    • DR. SANDEEP TAYAL (CSE DEPT, MAIT)
    • MR. MOOLCHAND SHARMA (CSE DEPT, MAIT)
  • CO-CONVENER(S)
    • MR. ALOK SHARMA (CSE DEPT, MAIT)
    • MS. PRERNA SHARMA (CSE DEPT, MAIT)
    • DR. JYOTI KAUSHIK (CSE DEPT, MAIT)
  • FINANCE CHAIR
    • MR. AJAY KR. TIWARI (CSE DEPT, MAIT)
    • DEEPTI GUPTA (CSE DEPT, MAIT)
    • KAJOL DAHIYA
  • PUBLICITY CHAIR
  •     MS. ZAMEER FATIMA (CSE DEPT, MAIT)
  •     SAKSHI JHA (CSE DEPT, MAIT)
  •    MINI AGARWAL (CSE DEPT, MAIT)
  •     KARUNA DARA (CSE DEPT, MAIT)
  •     AKSHAY MOOL (CSE DEPT, MAIT)
  •     SAURABH RASTOGI (CSE DEPT, MAIT) 
    •   EDITORIAL COMMITTEE
      • DR. SUDHA NARANG (CSE DEPT, MAIT)
      • GARIMA GUPTA (CSE DEPT, MAIT)
      • DR. ANKITA GUPTA (CSE DEPT, MAIT)
      • NEETU GUPTA (CSE DEPT, MAIT)
    • SPONSORSHIP COMMITTEE
      • ASHISH SHARMA (CSE DEPT, MAIT)
      • DR. R.K. CHOUDHARY (CSE DEPT, MAIT)
      • DR. YOGESH SHARMA (CSE DEPT, MAIT)
      • SAVITA SHARMA (CSE DEPT, MAIT)
      • SHALLU JUNEJA (CSE DEPT, MAIT)
  • STEERING COMMITTEE
  •    PROF. RAJVEER MITTAL (MAIT)
  •    PROF SACHIN GUPTA (MAIT)
  •    PROF. SUNIL KR. MATHUR (MAIT)
  •    PROF. M.L. SHARMA (MAIT)
  •    PROF. V.N. MATHUR (MAIT)
  •    DR. AMIT GUPTA (MAIT)
  •    DR. VAIBHAV JAIN (MAIT)
  •    DR. MONIKA GUPTA (MAIT)
  •    PROF. AMITA GOEL (MAIT)
  •    DR. NEERAJ GARG (MAIT)
  •    DR. POOJA GUPTA (MAIT)
  •    DR. VINAY KR SAINI (MAIT)
   

                 






Registration Details

It is mandatory to register the accepted paper for the Conference (single registration is required per paper and only one author will be allowed to attend and give presentation during Conference )

Registration Structure

 

Fees*

Category research

E ComSoc

Member/MAIT Students

Research Scholar/ Student

Academician / Industry

Foreigner Research Scholar/ Student (Outside India)

Foreigner Academician / Industry          (Outside India)

Conference Proceedings (CEUR) Scopus

Rs. 2360*

Rs. 3540*

Rs. 4720*

$ 150

$ 200

Scopus/ESCI Journals

Rs. 5900*

Rs. 10620*

Rs. 11800*

$ 350

$ 400

 * Including 18% GST

Payment Transfer Details:

Bank Name: UNION BANK OF INDIA
Bank Address: Sector 22, Rohini Branch, New Delhi-110086, India
Account Name: MAHARAJA AGRASEN INSTITUTE OF TECHNOLOGY
Account Number: 394502010059875
IFSC Code: UBIN0560421
Bank Swift Code: UBININBBSBD
AD Code: 0291679

 

 

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.                           

Submission Link:   https://cmt3.research.microsoft.com/SNSFAIT2024

Contact: Dr. Deepak Gupta (9899265660)  Mr. Anupam Kumar (9999702583)

 

 

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