Results 81 to 90 of about 11,688 (238)
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Tese de mestrado, Segurança Informática, 2022, Universidade de Lisboa, Faculdade de CiênciasDistributed Denial-of-Service (DDoS) is one of the most common cyberattack used by malicious actors.
Ye, João
core +1 more source
DDoS family: A novel perspective for massive types of DDoS attacks
Distributed Denial of Service (DDoS) defense is a profound research problem. In recent years, adversaries tend to complicate their attack strategies by crafting vast DDoS variants. On the one hand, this trend exacerbates both extremes of classification granularity (i.e., binary and attack level) in existing machine learning methods.
Ziming Zhao 0008 +7 more
openaire +2 more sources
Continuous‐flow hydrodeoxygenation of m‐cresol assisted by catalytic transfer hydrogenation (CTH‐HDO) was carried out at 300°C and atmospheric pressure over a Ni/SBA‐15 catalyst, using isopropanol as a renewable hydrogen donor. Under optimized conditions, a toluene selectivity of 56% was achieved, highlighting the potential of this approach as a safer ...
Lexane Paget +3 more
wiley +1 more source
КЛАССИФИКАЦИЯ МЕТОДОВ ПРОВЕДЕНИЯ DDOS-АТАК
The article describes Internet distributed denial of service- attacks (DDoS-attacks) and proposes classification of such offences by the objectives and tools of realization, making distinction between typical methods and those based on the hierarchy of ...
Д. А. Ковалев, D. A. Kovaliev
core
Przykładowe narzędzie do ataków DDoS
This article presents issues concerning the exemplary tool for DDoS attack . DDoS attacks are a distributed version of the Dos attack . This publication describes the specifics and the stages of carrying out a DDoS attack.
Rekosz, Katarzyna +2 more
core +1 more source
Semantic Evolution and Consistency Learning for Robust Malicious Network Traffic Detection
This paper proposes a semantic evolution and consistency network (SECN) for malicious traffic detection, modeling attack behaviors as temporally evolving semantics. By integrating dual‐level temporal representation and semantic consistency constraints, SECN achieves robust detection and strong generalization under encrypted, cross‐dataset, and unknown ...
Jing Yang, Wei Tan
wiley +1 more source
DoS and DDoS Attacks: Defense, Detection and Traceback Mechanisms - A Survey
Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks are typically explicit attempts to exhaust victim2019;s bandwidth or disrupt legitimate users2019; access to services.
K.Munivara Prasad
core
The Role of N6‐Methyladenosine Modification in Health and Disease
N6‐methyladenosine (m6A) is the most prevalent internal RNA modification in eukaryotes, acting as a pivotal epitranscriptomic regulator of RNA metabolism. This modification plays a dual role: it maintains physiological homeostasis under normal conditions but drives disease progression when dysregulated.
Linghuan Li +6 more
wiley +1 more source
ABSTRACT Objective Few people with knee osteoarthritis meet the World Health Organization (WHO) physical activity guidelines, and knowledge of guidelines in this population is not well known. We examined (i) baseline knowledge of physical activity guidelines in people with knee osteoarthritis; (ii) change in knowledge following participation in an ...
A. Couper +6 more
wiley +1 more source

