Results 41 to 50 of about 3,573,456 (297)
Towards Examining Supervised and Unsupervised Learning for IoT Attack Detection
The Internet of Things (IoT) is the term used to describe the numerous physical objects/devices connected to the Internet and collecting and exchanging data globally. IoT devices are especially susceptible to network attacks, including but not limited to
Govindaraju, Nevetha
core
Aiming at cache pollution attacks in content centric networking,the attacks were quantitatively described by three parameters,namely number of pollution contents,distribution of attack requests and attack intensity,then the cache state model of node ...
Hong-bo TANG +3 more
doaj +2 more sources
4. 8102 Working Group – Attack Taxonomy
The starting point of this working group was the question about the kinds of attacks that can be detected by inspecting in network traffic. In general, we identified four major problems that network-based intrusion detection systems are facing: 1 ...
Daciér, Marc +7 more
core +1 more source
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Integrated Replay Spoofing-Aware Text-Independent Speaker Verification
A number of studies have successfully developed speaker verification or presentation attack detection systems. However, studies integrating the two tasks remain in the preliminary stages.
Hye-jin Shim +3 more
doaj +1 more source
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Low Latency Detection of Sparse False Data Injections in Smart Grids
We study low-latency detections of sparse false data injection attacks in power grids, where an adversary can maliciously manipulate power grid operations by modifying measurements at a small number of smart meters. When a power grid is under attack, the
Israel Akingeneye, Jingxian Wu
doaj +1 more source
Improving Deep Learning-Based Recommendation Attack Detection Using Harris Hawks Optimization
Recommendation attack attempts to bias the recommendation results of collaborative recommender systems by injecting malicious ratings into the rating database. A lot of methods have been proposed for detecting such attacks.
Quanqiang Zhou +2 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source

