Search Results for author: Song-Kyoo Kim

Found 7 papers, 2 papers with code

Poisoning Attacks and Defenses on Artificial Intelligence: A Survey

no code implementations21 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.

Data Poisoning

Advanced Drone Swarm Security by Using Blockchain Governance Game

no code implementations29 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.

Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms

no code implementations1 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.

Arrhythmia Detection

Advanced Mathematical Business Strategy Formulation Design

no code implementations15 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.

Decision Making

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning

1 code implementation30 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.

BIG-bench Machine Learning

The Trailer of Blockchain Governance Game Series: Enhanced IoV Security Network

no code implementations24 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

A Machine Learning Framework for Biometric Authentication using Electrocardiogram

1 code implementation29 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.

BIG-bench Machine Learning

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