AI-IOTS 2020 WORKSHOP ON DECEMBER 14,2020

International Workshop on
Artificial Intelligence in the IoT Security Services


Dubai, UAE Virtual ,  DECEMBER 14-17,2020

About the Workshop


Artificial Intelligence (AI) is one of the disciplines of computer science that emerges in securing the Internet of Things (IoT) services. The AI techniques including machine learning, deep learning, and reinforcement learning approaches have been applied to emerging IoT applications in various fields such as smart city, smart home, smart grid, health care, smart transportation, smart farming, etc. According to Gartner, the total number of IoT connected devices will reach 75.44 billion units worldwide by 2025. This trend poses several challenges in building efficient and reliable IoT systems. Due to the advancement in AI technology, the connected devices are getting smaller and smarter but the secured services and constraints to be satisfied are increasingly complex. The AI plays crucial role to manage huge data flows and storage in the IoT network. As IoT gains its full potential, AI will be at the forefront to promote the potential of IoT.

Call for Papers

Workshops will include, but is not limited to, the following topics:

 Architecture design for AI and Iot
 Protocols for AI in Iot
 Real Time IoT Services
 Service-oriented protocols for IoT
 Data driven trustworthy IoT
 Security in IoT systems
 Fault diagnosis in IoT services
 Scalability solutions in IoT
 Smart Data Storeage in IoT
 Application in Industrial IoT
 Future IoT Applications
 IoT Security and services
 Smart City , Smart Grid, Smart Farming , Smart Transportation, and Smart Healthcare Applications

Important Dates

Submission

    Authors are invited to submit original, previously unpublished research papers. Papers should be written in English strictly following Springer LNCS style for all text, references, appendices, and figures.

    The papers need to be submitted via the conference management tool EASYCHAIR in PDF format. For formatting instructions and templates see the Springer Web page: Springer LNCS author web page.

    The accepted workshop papers must not exceed 15 pages.

    Submitted papers will be peer-reviewed by at least two members of the Workshop Program Committee.

    The accepted papers will be included in the conference proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series.

Accepted Papers

    A Novel Automated System for Hospital Acquired Infection Monitoring and Prevention
    Samyak Shrimali

    A novel approach for detecting IoT Botnet using balanced network traffic attributes
    Shobana M and Poonkuzhali Sugumaran

    KMeans Kernel- Learning based AI-IoT framework for plant leaf disease detection
    Youssouph Gueye and Mbaye Maissa

    System for Monitoring and Control of Vehicle’s Carbon Emissions Using Embedded Hardwares and Cloud Applications
    Tsvetan Tsokov and Hristo Kostadinov

Keynote Talk



Data replication and caching issues in large IoT infrastructures

ABSTRACT OF THE TALK:-



In recent years, IoT security has been more information-centric rather than device-centric. An IoT system ought to provide secure and fault-tolerant delivery of information to the end-user applications even though the physical devices and components may suffer failures and/or get attacked. Functional replication at the device and/or software level allows enhanced fault-tolerance and security in the data collection infrastructure. Another related research area is the secure and performance-aware caching of data in the content-delivery infrastructure.

The talk,would focus on how data and software can be replicated in a secure IoT system, and the engineering and operational constraints therein. Specifically, replica voting as a means to ensure high integrity data collection from devices will be discussed. The issues in securing the content-data caching/storage sites between the data collection points and dissemination points will also be discussed (such as dynamic relocation of caching sites to evade attackers). Some case studies from CUNY research on data replication and content delivery networks will be presented.


Schedule



Time

14th Dec 2020
Event
03.30 – 03.45 PM GMT +4
05.00 – 05.15 PM IST
06.30 – 06.45 AM EST

Inauguration

03.45 – 04.30 PM GMT +4
05.15 – 06.00 PM IST
06.45 – 07.30 AM EST

Keynote Talk


Data replication and caching issues in large IoT infrastructures


Prof. K. Ravindran
Dept. of Computer Science
City University of New York, USA
04.30 – 04.45 PM GMT +4
06.00 – 06.15 PM IST
07.30 – 07.45 AM EST
Q&A

Paper Presentation


Session Chairs:
Dr. P. Arun Raj Kumar, NIT Calicut, India
Dr. N.G. Bhuvaneswari Amma, IIIT Una, HP, India
Dr. A. R. Vasudevan, NIT, Calicut, India
04.45 – 05.05 PM GMT +4
06.15 – 06.35 PM IST
02.45 – 03.05 PM GMT +2

System for Monitoring and Control of Vehicle’s Carbon
Emissions Using Embedded Hardwares and Cloud Applications


Tsvetan Tsokov and Hristo Kostadinov
Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Bulgaria, Europe
05.05 – 05.25 PM GMT +4
06.35 – 06.55 PM IST

A novel approach for detecting IoT Botnet using balanced network traffic attributes


Shobana M and Poonkuzhali Sugumaran
Rajalakshmi Engineering College, Chennai, Tamil Nadu, India, Asia
05.25 – 05.45 PM GMT +4
06.55 – 07.15 PM IST
01.25 – 01.45 PM GMT

KMeans Kernel- Learning based AI-IoT framework for plant leaf disease detection


Youssouph Gueye and Mbaye Maissa
Gaston Berger University, Sanar, Saint-Louis, Senegal, Western Africa
05.45 – 06.05 PM GMT +4
07.15 – 07.35 PM IST
05.45 – 06.05 AM PST

A Novel Automated System for Hospital Acquired Infection Monitoring and Prevention


Samyak Shrimali
Jesuit High School, Portland, Oregon, USA
06.05 – 06.15 PM GMT +4
07.35 – 07.45 PM IST

Valediction