Evaluating climate adaptation strategies for coastal resilience using multi-criteria decision-making framework저자Meng Teng, Fuli Zhang, Zhi Gong, Jong Hyuk Park게시 날짜2025/8/1저널Marine Pollution Bulletin권217페이지118060게시자Pergamon설명Coastal regions face significant challenges due to climate change, requiring effective adaptation strategies to protect ecosystems, infrastructure, and communities. Selecting appropriate strategies remains complex due to the need to balance ecological, economic, and social factors. This study introduces a novel AHP-based Multi-Criteria Decision-Making (MCDM) framework that systematically integrates empirical evidence and expert judgment to evaluate and prioritize coastal adaptation strategies. The framework incorporates inputs from 20 experts and evaluates alternatives across four key criteria: Environmental Impact (weight = 0.533), Cost-Effectiveness (0.255), Social Acceptance (0.149), and Long-Term Sustainability (0.063). Among the evaluated strategies, mangrove restoration received the highest priority score of 0.70, highlighting its superior performance across environmental, social, and sustainability …학술 문서Evaluating climate adaptation strategies for coastal resilience using multi-criteria decision-making frameworkM Teng, F Zhang, Z Gong, JH Park - Marine Pollution Bulletin, 2025관련 학술자료 전체 2개의 버전

2025.05.22

제목 : AIDS-Based Cyber Threat Detection Framework for Secure Cloud-Native Microservices저자Heeji Park, Abir EL Azzaoui, Jong Hyuk Park게시 날짜2025/1/8저널Electronics권14호2페이지229게시자MDPI설명Cloud-native architectures continue to redefine application development and deployment by offering enhanced scalability, performance, and resource efficiency. However, they present significant security challenges, particularly in securing inter-container communication and mitigating Distributed Denial of Service (DDoS) attacks in containerized microservices. This study proposes an Artificial Intelligence Intrusion Detection System (AIDS)-based cyber threat detection solution to address these critical security challenges inherent in cloud-native environments. By leveraging a Resilient Backpropagation Neural Network (RBN), the proposed solution enhances system security and resilience by effectively detecting and mitigating DDoS attacks in real time in both the network and application layers. The solution incorporates an Inter-Container Communication Bridge (ICCB) to ensure secure communication between containers. It also employs advanced technologies such as eXpress Data Path (XDP) and the Extended Berkeley Packet Filter (eBPF) for high-performance and low-latency security enforcement, thereby overcoming the limitations of existing research. This approach provides robust protection against evolving security threats while maintaining the dynamic scalability and efficiency of cloud-native architectures. Furthermore, the system enhances operational continuity through proactive monitoring and dynamic adaptability, ensuring effective protection against evolving threats while preserving the inherent scalability and efficiency of cloud-native environments.학술 문서AIDS-Based Cyber Threat Detection Framework for Secure Cloud-Native MicroservicesH Park, A EL Azzaoui, JH Park - Electronics, 2025관련 학술자료 전체 3개의 버전

2025.03.19

컴퓨터공학과 박종혁 교수가 세계적인 저널 순위를 발표하는 Clarivate의 Journal Citation Reports (JCR)의 COMPUTER SCIENCE, THEORY & METHODS 분야에 1위로 랭크돼있는 Information Fusion 저널 (Elsvier, Impact Factor: 17.564)에 논문을 게재하였다.▲박종혁 교수박종혁 교수는 본 논문에서 박사과정 스실 쿠마 싱 (Sushil Kumar Singh) 등과 함께 “인더스트리 5.0의 프라이버시 보호를 위한 블록체인과 연합학습의 융합 (FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.0)” 이라는 제목으로, 최근 화두로 떠오르는 4차 산업혁명의 핵심 기술인 블록체인과 연합 학습 인공지능 기술을 융합한 FusionFedBlock 기법을 제안하였다. 본 기법은 산업환경의 데이터 프라이버시 보호를 위한 연합학습 네트워크의 설계와 클라우드상의 분산 해시 테이블에 의한 안전한 분산 스토리지 등을 제공한다.

2025.03.19

2025.03.19