Details
| Original language | English |
|---|---|
| Title of host publication | 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781728124643 |
| Publication status | Published - Sept 2019 |
| Externally published | Yes |
| Event | 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019 - Magdeburg, Germany Duration: 26 Sept 2019 → 27 Sept 2019 |
Publication series
| Name | 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019 |
|---|
Abstract
Filtering trusted learning resources is paramount for a successful P2P e-learning future. Unlike centralized systems which feature a centralized authority that maintains reputation values of all users in the system, in decentralized P2P networks, the popular approach is using a decentralized mechanism to achieve global estimates of peers' reputations. While decentralized reputation systems solve part of the problem, there is still the well-known problem of manipulating reputation systems and voting mechanisms to achieve selfish objectives or satisfy malicious intent. In the context of P2P e-learning, interacting with untrustworthy service providers, i.e. manipulative or cheating nodes, may suppress the e-learning process. We approach this problem by presenting an upgrade of reputation-based voting mechanisms, called equilibrium-based voting (EquiVote).We show by empirical analysis that our approach achieves verification and correctness of erroneous reputation values, caused by preelection manipulation activities, at the time of electing learning service providers in P2P e-learning environments.
Keywords
- Consensus, Multi-Agent Systems, P2P E-Learning, Reputation and Trust
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
- Psychology(all)
- Developmental and Educational Psychology
- Social Sciences(all)
- Education
- Social Sciences(all)
- Communication
Cite this
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- BibTeX
- RIS
2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8937337 (2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Equilibrium-based voting
T2 - 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019
AU - Eid, Shereif
AU - Kismihok, Gabor
AU - Mol, Stefan T.
PY - 2019/9
Y1 - 2019/9
N2 - Filtering trusted learning resources is paramount for a successful P2P e-learning future. Unlike centralized systems which feature a centralized authority that maintains reputation values of all users in the system, in decentralized P2P networks, the popular approach is using a decentralized mechanism to achieve global estimates of peers' reputations. While decentralized reputation systems solve part of the problem, there is still the well-known problem of manipulating reputation systems and voting mechanisms to achieve selfish objectives or satisfy malicious intent. In the context of P2P e-learning, interacting with untrustworthy service providers, i.e. manipulative or cheating nodes, may suppress the e-learning process. We approach this problem by presenting an upgrade of reputation-based voting mechanisms, called equilibrium-based voting (EquiVote).We show by empirical analysis that our approach achieves verification and correctness of erroneous reputation values, caused by preelection manipulation activities, at the time of electing learning service providers in P2P e-learning environments.
AB - Filtering trusted learning resources is paramount for a successful P2P e-learning future. Unlike centralized systems which feature a centralized authority that maintains reputation values of all users in the system, in decentralized P2P networks, the popular approach is using a decentralized mechanism to achieve global estimates of peers' reputations. While decentralized reputation systems solve part of the problem, there is still the well-known problem of manipulating reputation systems and voting mechanisms to achieve selfish objectives or satisfy malicious intent. In the context of P2P e-learning, interacting with untrustworthy service providers, i.e. manipulative or cheating nodes, may suppress the e-learning process. We approach this problem by presenting an upgrade of reputation-based voting mechanisms, called equilibrium-based voting (EquiVote).We show by empirical analysis that our approach achieves verification and correctness of erroneous reputation values, caused by preelection manipulation activities, at the time of electing learning service providers in P2P e-learning environments.
KW - Consensus
KW - Multi-Agent Systems
KW - P2P E-Learning
KW - Reputation and Trust
UR - http://www.scopus.com/inward/record.url?scp=85078039591&partnerID=8YFLogxK
U2 - 10.1109/ITHET46829.2019.8937337
DO - 10.1109/ITHET46829.2019.8937337
M3 - Conference contribution
AN - SCOPUS:85078039591
T3 - 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019
BT - 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 September 2019 through 27 September 2019
ER -