Results 51 to 60 of about 162,879 (307)

Multiple Observation HMM-Based CAN Bus Intrusion Detection System for In-Vehicle Network [PDF]

, 2023
Chen Dong, Hao Wu, Qingyuan Li
openalex   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs

Sir Syed University Research Journal of Engineering and Technology, 2023
This study proposes an innovative intrusion detection system for Android malware based on a zero-shot learning GAN approach. Our system achieved an accuracy of 99.99%, indicating that this approach can be highly effective for identifying intrusion ...
Syed Atir Raza Shirazi, Mehwish Shaikh
doaj  

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

A consensus based network intrusion detection system

, 2015
Network intrusion detection is the process of identifying malicious behaviors that target a network and its resources. Current systems implementing intrusion detection processes observe traffic at several data collecting points in the network but ...
Curtis, Philip, Minh, Bui Quang, Toulouse, Michel   +2 more
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +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

Manhole intrusion detection system with notification stages

Scientific African, 2021
Appropriate design of intrusion detection systems is extremely important to safeguard critical and valuable infrastructure. Telecommunications companies (TELCOs) and electric power utilities are experiencing an increased rate of rampant underground ...
Felix Mazunga, Tawanda Romosi, Rosemary Guvhu   +2 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Real-Time Large-Scale Intrusion Detection and Prevention System (IDPS) CICIoT Dataset Traffic Assessment Based on Deep Learning

Applied System Innovation
This research utilizes machine learning (ML), and especially deep learning (DL), techniques for efficient feature extraction of intrusion attacks.
Samuel Kofi Erskine
doaj   +1 more source