no code implementations • 21 Feb 2022 • Miguel A. Ramirez, Song-Kyoo Kim, Hussam Al Hamadi, Ernesto Damiani, Young-Ji Byon, Tae-Yeon Kim, Chung-Suk Cho, Chan Yeob Yeun
This survey is conducted with a main intention of highlighting the most relevant information related to security vulnerabilities in the context of machine learning (ML) classifiers; more specifically, directed towards training procedures against data poisoning attacks, representing a type of attack that consists of tampering the data samples fed to the model during the training phase, leading to a degradation in the models accuracy during the inference phase.
no code implementations • 29 Dec 2021 • Song-Kyoo Kim
This research contributes to the security design of an advanced smart drone swarm network based on a variant of the Blockchain Governance Game (BGG), which is the theoretical game model to predict the moments of security actions before attacks, and the Strategic Alliance for Blockchain Governance Game (SABGG), which is one of the BGG variants which has been adapted to construct the best strategies to take preliminary actions based on strategic alliance for protecting smart drones in a blockchain-based swarm network.
no code implementations • 1 Dec 2020 • Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo, Nai-Wei Lo, Ernesto Damiani
Deep learning applied to electrocardiogram (ECG) data can be used to achieve personal authentication in biometric security applications, but it has not been widely used to diagnose cardiovascular disorders.
no code implementations • 15 Aug 2019 • Song-Kyoo Kim
This paper deals with the explicit design of strategy formulations to make the best strategic choices from a conventional matrix form of representing strategic choices.
1 code implementation • 30 Jun 2019 • Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, M. Jamal Zemerly, Kin Poon, Paul D. Yoo
We evaluated the performance of the proposed system and found that it could achieve up to the 92 percent identification accuracy.
no code implementations • 24 Apr 2019 • Song-Kyoo Kim
This paper deals with the design of the secure network of the Enhanced Internet of Vehicles by using the Blockchain Governance Game.
Cryptography and Security Computer Science and Game Theory Systems and Control Probability
1 code implementation • 29 Mar 2019 • Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani, Nai-Wei Lo
The proposed framework can help investigators and developers on ECG based biometric authentication mechanisms define the boundaries of required datasets and get training data with good quality.