Results 31 to 40 of about 178,776 (288)

Detection algorithm for cache pollution attacks based on node state model in content centric networking

Tongxin xuebao, 2016
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, Lin-hao ZHENG, Guo-dong GE, Quan YUAN   +3 more
doaj   +2 more sources

Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks

, 2022
ICLR 2024 Spotlight (top 5%)
Franzmeyer, T, McAleer, S, Henriques, JF, Foerster, J, Torr, P, Bibi, A, Schroeder de Witt, C   +6 more
openaire   +3 more sources

False data injection attack in smart grid: Attack model and reinforcement learning-based detection method

Frontiers in Energy Research, 2023
The smart grid, as a cyber-physical system, is vulnerable to attacks due to the diversified and open environment. The false data injection attack (FDIA) can threaten the grid security by constructing and injecting the falsified attack vector to bypass ...
Xixiang Lin, Dou An, Feifei Cui, Feiye Zhang   +3 more
doaj   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Low Latency Detection of Sparse False Data Injections in Smart Grids

IEEE Access, 2018
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

Audio-Replay Attack Detection Countermeasures [PDF]

, 2017
This paper presents the Speech Technology Center (STC) replay attack detection systems proposed for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. In this study we focused on comparison of different spoofing detection approaches.
Lavrentyeva, Galina, Novoselov, Sergey, Malykh, Egor, Kozlov, Alexander, Kudashev, Oleg, Shchemelinin, Vadim   +5 more
openaire   +2 more sources

Unorganized malicious attacks detection [PDF]

SCIENTIA SINICA Informationis, 2018
Recommender system has attracted much attention during the past decade. However, collaborative filtering as a usual technique is vulnerable to malicious attacks that generate fake profiles to manipulate the system. Prior research has shown that attacks can significantly affect the robustness of the systems.
Ming PANG, Zhi-Hua ZHOU
openaire   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

MF‐RF: A detection approach based on multi‐features and random forest algorithm for improved collusive interest flooding attack

IET Information Security, 2023
A new type of Collusive Interest Flooding Attack (CIFA), Improved Collusive Interest Flooding Attack (I‐CIFA), which originates from CIFA with a stronger concealment, higher attack effect, lower attack cost, and wider attack range in Named Data ...
Meng Yue, Silin Peng, Wenzhi Feng
doaj   +1 more source