Application of data mining technology in detecting network intrusion and security maintenance
Journal of Intelligent Systems, 2021 In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect.
Zhu Yongkuan +4 more
doaj +1 more source
Protection of an intrusion detection engine with watermarking in ad hoc networks [PDF]
, 2010 Mobile ad hoc networks have received great attention in recent years, mainly due to the evolution of wireless networking and mobile computing hardware.
Douligeris, C. +2 more
core
Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells
Molecular Oncology, EarlyView.In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi +3 more
wiley +1 more source
Intrusion detection mechanism and experimental study based on WiFi signal
Dianzi Jishu Yingyong, 2019 Indoor safety concerns the safety of people′s life and property. Through indoor intrusion detection, it is possible to achieve early warning and avoid loss. Different from the common intrusion detection methods, the CSI(Channel status information) of the
Zeng Zheng +4 more
doaj +1 more source
Applications of Machine Learning to Threat Intelligence, Intrusion Detection and Malware [PDF]
, 2020 Artificial Intelligence (AI) and Machine Learning (ML) are emerging technologies with applications to many fields. This paper is a survey of use cases of ML for threat intelligence, intrusion detection, and malware analysis and detection.
Barker, Charity
core +1 more source
Molecular Oncology, EarlyView.Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker +14 more
wiley +1 more source
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behavioural-based Anomaly Detection Systems -- A Brief Survey of Concepts and Approaches [PDF]
arXiv, 2020 One of the data security and privacy concerns is of insider threats, where legitimate users of the system abuse the access privileges they hold. The insider threat to data security means that an insider steals or leaks sensitive personal information.
arxiv
Implementasi Intrusion Detection System (Ids)di Jaringan Universitas Bina Darma [PDF]
, 2012 Computer Security systems, in recent years has become a major focus in the world of computer networks, this is due to the high threat of suspicious (Suspicious Threat) and attacks from the internet.
Ulfa, M. (Maria)
core
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid. [PDF]
PLoS ONE, 2018 Advanced Metering Infrastructure (AMI) realizes a two-way communication of electricity data through by interconnecting with a computer network as the core component of the smart grid.
Yuancheng Li, Rixuan Qiu, Sitong Jing
doaj +1 more source