Results 71 to 80 of about 193,280 (308)

HVAC system - Attack-detection

, 2021
The dataset can be used to study the cybersecurity aspect of the HVAC system by evaluating the different attack detection and mitigation strategies. The dataset was collected from a simulation model of a 3-floor, 12-zone HVAC system for cooling using the
Elnour, M (via Mendeley Data)
core   +1 more source

Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT

IEEE Access
Machine learning-based Distributed Denial of Service (DDoS) attack detection systems have proven effective in detecting and preventing DDoD attacks in Internet of Things (IoT) systems.
Yonas Kibret Beshah, Surafel Lemma Abebe, Henock Mulugeta Melaku   +2 more
doaj   +1 more source

Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid

Energies, 2012
In this paper, we analyze the Network and System Management (NSM) requirements and NSM data objects for the intrusion detection of power systems; NSM is an IEC 62351-7 standard.
JungChan Na, Kijoon Chae, Mihui Kim, Shi Li, Xinyi Chen, Kyung Choi   +5 more
doaj   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples

ACM Transactions on Software Engineering and Methodology
As a new programming paradigm, deep learning (DL) has achieved impressive performance in areas such as image processing and speech recognition, and has expanded its application to solve many real-world problems. However, neural networks and DL are normally black-box systems; even worse, DL-based software are vulnerable to threats from ...
Zhe Zhao 0007, Guangke Chen, Tong Liu 0027, Taishan Li, Fu Song, Jingyi Wang 0004, Jun Sun 0001   +6 more
openaire   +2 more sources

Deep Reinforcement Learning-Based Adversarial Attack and Defense in Industrial Control Systems

Mathematics
Adversarial attacks targeting industrial control systems, such as the Maroochy wastewater system attack and the Stuxnet worm attack, have caused significant damage to related facilities.
Mun-Suk Kim
doaj   +1 more source

SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing

Information, 2020
Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing.
Junhyeok Yun, Mihui Kim
doaj   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

Face Presentation Attack Detection

, 2023
Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios.
Zitong Yu, Chenxu Zhao, Zhen Lei 0001
openaire   +2 more sources

An Analysis of GPS Spoofing Attack and Efficient Approach to Spoofing Detection in PX4

IEEE Access
Unmanned Aerial Vehicles (UAVs) are aerial vehicles that can go to a particular position without human control or with remote human control. It is because unmanned control mainly relies on position estimation that a lot of research has been studied on ...
Ji Hyuk Jung, Mi Yeon Hong, Hyeongjun Choi, Ji Won Yoon   +3 more
doaj   +1 more source