Results 51 to 60 of about 17,788 (216)

A NAC–MYB–cysteine regulatory module enhances drought and salt tolerance in soybean

open access: yesJournal of Integrative Plant Biology, EarlyView.
In the GmNAC3—GmMYB60—GmCYS20 module, GmNAC3 represses the transcription factor gene GmMYB60 and GmMYB60 suppresses the cysteine biosynthetic gene GmCYS20. GmCYS20‐mediated cysteine metabolism feeds back to limit GmMYB60 activity. This transcription—metabolism circuit enhances stress tolerance and offers breeding targets for resilient soybean ...
Nannan Zhang   +15 more
wiley   +1 more source

КЛАССИФИКАЦИЯ МЕТОДОВ ПРОВЕДЕНИЯ DDOS-АТАК [PDF]

open access: yes, 2013
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  

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

open access: yesSoftware: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai   +5 more
wiley   +1 more source

An Effector TaCRVP From Tuta Absoluta Oral Secretion Impairs H2O2‐Mediated Plant Defense by Targeting Tomato SlCAT2

open access: yesAdvanced Science, Volume 13, Issue 63, 12 November 2026.
The Tuta absoluta salivary effector TaCRVP subverts tomato immunity by hijacking host catalase SlCAT2. Through a sophisticated dual mechanism, TaCRVP simultaneously promotes SlCAT2 tetramerization for activation and blocks its SlAdBiL‐mediated degradation for stabilization.
Jianquan Yan   +9 more
wiley   +1 more source

Ensemble-based DDoS detection and mitigation model [PDF]

open access: yes, 2012
This work-in-progress paper presents an ensemble-based model\ud for detecting and mitigating Distributed Denial-of-Service (DDoS) attacks, and its partial implementation.
Bhatia, Sajal   +5 more
core   +2 more sources

Base Semantics—A Novel Approach for Minimizing Malware Detection Rules

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.
ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat   +5 more
wiley   +1 more source

DoS and DDoS Attacks: Defense, Detection and Traceback Mechanisms - A Survey [PDF]

open access: yes, 2014
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  

Deteksi Dini Gangguan Jaringan Distributed Denial Of Service (DDOS) Menggunakan Metode Shannon Entropy Pada Software Defined Network (SDN)

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer
Software Defined Networking (SDN) adalah arsitektur jaringan baru yang memisahkan antara control dan data plane. Aspek keamanan utama dalam control plane salah satunya adalah serangan DoS dan DDoS.
Achmad Solichin, Ludi Nugroho
doaj   +1 more source

Critical Infrastructures: Presentation, cyberattacks and protection Mechanisms – A Survey [PDF]

open access: yesE3S Web of Conferences
In recent years, the world has seen great achievements in the development of the infrastructure needed for information and communication technologies, and widespread and growing access to high-speed Internet. Today, governments, businesses, civil society
Ndiaye Semou, Diop Idy, Talla Saïdou
doaj   +1 more source

Retrieval‐Based Deep Hybrid Models for Robust Network Intrusion Detection

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.
ABSTRACT A retrieval‐based deep hybrid model couples a learned encoder with a non‐parametric k‐nearest‐neighbors module that, at inference time, retrieves training records and conditions its predictions on the local neighborhood. Despite strong results on tabular benchmarks, such hybrids and several recent deep tabular architectures have not been ...
Bimal Parakkal   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy