Design Considerations on Constructing an Early Detection Framework for Detecting Large-Scale Malware Attacks

被引:0
|
作者
Lee, Manhee
机构
关键词
security; malware; detection; cyber attack;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As many countries jump into cyber war preparation, the importance of malware detection and prevention keeps increasing. Especially, since large-scale malware attacks can cause serious damage to economy and society, it is critical to construct an effective nationwide system for early detection framework (EDF) for detecting large-scale malware attacks effectively. In this paper, we present a threat model, set main goals of EDF, and explain several consideration points to design EDF. We believe this research will lay groundwork upon which following design exploration research works.
引用
下载
收藏
页码:260 / 267
页数:8
相关论文
共 50 条
  • [31] Design Considerations for a Large-Scale Wireless Sensor Network for Substation Monitoring
    Nasipuri, Asis
    Cox, Robert
    Conrad, James
    Van der Zel, Luke
    Rodriguez, Bienvenido
    McKosky, Ralph
    IEEE LOCAL COMPUTER NETWORK CONFERENCE, 2010, : 866 - 873
  • [32] Light-weight Detection of HTTP Attacks for Large-scale Web sites
    Xie, Yi
    Yu, Shun-zheng
    2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS), VOLS 1-3, 2008, : 1182 - 1186
  • [33] Federated deep learning models for detecting RPL attacks on large-scale hybrid IoT networks
    Albishari, Mohammed
    Li, Mingchu
    Ayoubi, Majid
    Alsanabani, Ala
    Tian, Jiyu
    Computer Networks, 2024, 254
  • [34] Early detection of dynamic harmful cascades in large-scale networks
    Zhou, Chuan
    Lu, Wei-Xue
    Zhang, Jingzun
    Li, Lei
    Hu, Yue
    Guo, Li
    JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 28 : 304 - 317
  • [35] Measuring family outcomes - Considerations for large-scale data collection in early intervention
    Bailey, Donald B., Jr.
    Hebbeler, Kathleen
    Olmsted, Murrey G.
    Raspa, Melissa
    Bruder, Mary Beth
    INFANTS & YOUNG CHILDREN, 2008, 21 (03): : 194 - 206
  • [36] A multigroup framework for fault detection and diagnosis in large-scale multivariate systems
    Luo, Lijia
    Peng, Xin
    Tong, Chudong
    JOURNAL OF PROCESS CONTROL, 2021, 100 : 65 - 79
  • [37] A Framework for Automated Collaborative Fault Detection in Large-Scale Vehicle Networks
    Maroli, John
    Ozguner, Umit
    Redmill, Keith
    2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 1923 - 1927
  • [38] A Framework for Application-Oriented Design of Large-Scale Neural Networks
    Bouchain, David
    Hauser, Florian
    Palm, Guenther
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2011, PT II, 2011, 6792 : 317 - 324
  • [39] Towards an automated design framework for large-scale photonic integrated circuits
    Mingaleev, Sergei
    Richter, Andre
    Sokolov, Eugene
    Arellano, Cristina
    Koltchanov, Igor
    INTEGRATED OPTICS: PHYSICS AND SIMULATIONS II, 2015, 9516
  • [40] The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle
    Alrawi, Omar
    Lever, Charles
    Valakuzhy, Kevin
    Court, Ryan
    Snow, Kevin
    Monrose, Fabian
    Antonakakis, Manos
    PROCEEDINGS OF THE 30TH USENIX SECURITY SYMPOSIUM, 2021, : 3505 - 3522