A Framework for Skill Building and Employment Using ICT Tools

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Published: 2023-07-25

Page: 338-346


A. B. Sagar *

National Informatics Center, APSC, India.

Syed Usman

National Informatics Center, APSC, India.

K. Swathi Venkata Lakshmi

National Informatics Center, APSC, India.

P. S. D. Praveen

National Informatics Center, APSC, India.

*Author to whom correspondence should be addressed.


Abstract

This paper aims to propose a framework for skill building and employment considering Trust and Reputation, using Information and Communication Technology (ICT) tools. The objective is to address the high unemployment problem and the mismatch between the demand and supply of skills. Several cities and districts  have  diverse  industries,  includ- ing agriculture, agro-processing, manufacturing, and services. However, despite their economic significance, they also face persistent challenges in terms of unemployment, skills gaps, and hiring practices. This paper conducts an in-depth analysis of various factors contributing to the unemployment problem, with a specific focus on computer science aspects. It proposes a robust framework that effectively addresses the challenges arising from the skill mismatch between the demand and sup- ply. The framework encompasses comprehensive assessments of skill gaps, evaluation of hiring processes, and other perti- nent computer science-related considerations.

Keywords: Skillset learning, ICT and unemployment, skill mismatch


How to Cite

Sagar , A. B., Usman , S., Lakshmi , K. S. V., & Praveen , P. S. D. (2023). A Framework for Skill Building and Employment Using ICT Tools. Asian Journal of Advances in Research, 6(1), 338–346. Retrieved from https://mbimph.com/index.php/AJOAIR/article/view/3568

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References

Pourghebleh B, Wakil K, Navimipour NJ. A comprehensive study on the trust management techniques in the internet of things. IEEE In- ternet Things J. 2019;6(6):9326–9337.

Aldowah H, Ul Rehman S, Umar I. Trust in iot systems: A vision on the current issues, challenges, and recommended solutions. Adv Smart Soft Comput. 2021;1188:329–339.

Harwood T, Garry T. Internet of Things: understanding trust in techno-service systems. J Serv Manag. 2017;28(3):442–475.

Truong NB, Jayasinghe U, Um TW, Lee GM. A survey on trust computation in the internet of things. Inf Commun Mag. 2016;33(2):10–27.

Suryani V, Widyawan S. A survey on trust in Internet of Things. In: 2016 8th international conference on information technology and elec- trical engineering (ICITEE). IEEE, Yogyakarta. 2016:1–6.

Din IU, Guizani M, Kim BS, Hassan S, Khan MK. Trust man- agement techniques for the internet of things: A survey. IEEE Access. 2018;7:29763–29787.

Sicari S, Rizzardi A, Grieco LA, Coen-Porisini A. Security, privacy and trust in internet of things: The road ahead. Comput Netw. 2015;76:146–164

Eder T, Nachtmann D, Schreckling D. Trust and reputation in the internet of things. In: Conference Seminar (SS2013)-Real Life Security (5827Hs). Universit¨at Passau, Tech. Rep; 2013.

Yan Z, Zhang P, Vasilakos AV. A survey on trust management for internet of things. J Netw Comput Appl. 2014;42:120–134.

Guo J, Chen R, Tsai JJ. A survey of trust computation models for service management in internet of things systems. Comput Commun. 2017;97:1–14.

Azzedin F. Taxonomy of reputation assessment in peer-to-peer sys- tems and analysis of their data retrieval. Knowl Eng Rev. 2014;29(4):463–483.

Jayasinghe U, Truong NB, Lee GM, Um TW. ”RpR: A trust computation model for social internet of things”. 2016 Intl IEEE Conferences on Ubiquitous Intelligence Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/ IoP/SmartWorld). Toulouse, 2016:930–937.

Ebrahimi M, Tadayon MH, Haghighi MS, Jolfaei A. A quanti- tative comparative study of data-oriented trust management schemes in internet of things. ACM Trans Manag Inf Syst (TMIS). 2022;13(3):1–30.

Al-Shamaileh M, Anthony P, Charters S. Evaluating trust and reputation models for IoT environment. In Agents and Multi-Agent Sys- tems: Technologies and Applications 2022: Proceedings of 16th KES In- ternational Conference, KES-AMSTA 2022, June 2022. Springer Nature Singapore, Singapore. 2022:49–60.

Moyano F, Fernandez-Gago C, Lopez J. A framework for enabling trust requirements in social cloud applications. Requir Eng. 2013;18(4):321–341.

Moyano F, Fernandez-Gago C, Lopez J. A model-driven approach for engineering trust and reputation into software services. J Netw Com- put Appl. 2016;69:134–151.

Raquel Uren˜a, Francisco Chiclana, Ramon A Carrasco, En- rique Herrera-Viedma. Leveraging Users’ Trust and Reputation in Social Networks Procedia Computer Science. 2019;162:955-962

Paolo Massa, Paolo Avesani. Trust-aware collaborative filtering for recommender systems. ACM Transactions on Information Systems. 2023;41(3):1-28.

Gambetta D. Can we trust trust. Trust Making Breaking Coop Relat. 2000;13(1):213–237.

Wang PU, Zhang P. A review on trust evaluation for internet of things. In: Proceedings of the 9th EAI international conference on mo- bile multimedia communications. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Xi’an. 2016:34–39.

Blaze M, Feigenbaum J, Lacy J. Decentralized trust management. In: Proceedings 1996 IEEE symposium on security and privacy. IEEE, Oakland, 1996:164–173.