Results 31 to 40 of about 13,753 (257)

When Intrusion Detection Meets Blockchain Technology: A Review

IEEE Access, 2018
With the purpose of identifying cyber threats and possible incidents, intrusion detection systems (IDSs) are widely deployed in various computer networks.
Weizhi Meng, Elmar Wolfgang Tischhauser, Qingju Wang, Yu Wang, Jinguang Han   +4 more
doaj   +1 more source

Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

Digital Communications and Networks, 2023
With the rapid development of the Internet of Things (IoT), there are several challenges pertaining to security in IoT applications. Compared with the characteristics of the traditional Internet, the IoT has many problems, such as large assets, complex ...
Haifeng Lin, Qilin Xue, Jiayin Feng, Di Bai   +3 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN

IEEE Access
The current behavior pattern extraction methods in intrusion detection systems cannot fully extract information. To improve the accuracy of such systems, the study first uses sequence feature construction algorithms to explicitly represent sequence ...
Yu Huang, Liangyuan Su
doaj   +1 more source

Security Enrichment in Intrusion Detection System Using Classifier Ensemble

Journal of Electrical and Computer Engineering, 2017
In the era of Internet and with increasing number of people as its end users, a large number of attack categories are introduced daily. Hence, effective detection of various attacks with the help of Intrusion Detection Systems is an emerging trend in ...
Uma R. Salunkhe, Suresh N. Mali
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Analysis of intrusion detection systems

Вестник КазНУ. Серия математика, механика, информатика, 2019
With the development of information technologies, the amount of vulnerabilities and threats to various data processing systems is increasing, therefore specialized means of security are required to ensure their normal operation and to prevent intrusions,
NAZYM KENZHEGALIYEVNA ZHUMANGALIYEVA, Anna Alexandrovna Korchenko, Aliya Amantayevna Doszhanova, Zhadyra Sovetkhanovna Avkurova   +3 more
doaj   +1 more source

An Agile Approach to Identify Single and Hybrid Normalization for Enhancing Machine Learning-Based Network Intrusion Detection

IEEE Access, 2021
Detecting intrusion in network traffic has remained a problematic task for years. Progress in the field of machine learning is paving the way for enhancing intrusion detection systems.
Murtaza Ahmed Siddiqi, Wooguil Pak
doaj   +1 more source

Intrusion Detection System

International Journal of Scientific Research in Science, Engineering and Technology, 2020
Intrusion Detection System (IDS) is well-defined as a Device or software application which monitors the system activities and finds if there is any malevolent activity that has occured. Unresolved growth and traditional use of internet raises anxieties about how to connect and protect the digital information securely.
Shivani Agrawal, Priyanka Walke, Shivam Pandit, Sangram Nevse, Sunil Deokule   +4 more
openaire   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source