Results 111 to 120 of about 6,155,073 (227)

Efficient attack detection and data aggregation algorithm

Tongxin xuebao, 2012
An efficient algorithm of attack detection and data aggregation for wireless multimedia sensor networks based on the previous work was proposed.The proposed algorithm concludes the action trait of sensor nodes from their attribute vectors without any ...
Hong-bing CHENG, Chun-ming RONG, Xiao HUANG, Skjalg EGGEN, Qing-kai ZENG   +4 more
doaj  

Exploit detection based on illegal control flow transfers identification

Tongxin xuebao, 2014
In order to deal with exploit attacks such as APT,an approach was proposed to detect exploits based on illegal control flow transfers identification.Both static and dynamic analysis methods were performed to construct the CFSO (control flow safety ...
Ming-hua WANG, Ling-yun YING, Deng-guo FENG   +2 more
doaj  

Face the Challenge-Generalization of Presentation Attack Detection. [PDF]

Sensors (Basel)
Baran A, Bartuzi-Trokielewicz E.
europepmc   +1 more source

Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection. [PDF]

Sci Rep
Ajarmah B, Iwidat H.
europepmc   +1 more source

A dataset collected in real-world industrial control systems for network attack detection. [PDF]

Sci Data
Zhou X, Cheng Z, Wang C, Wang S, Tao C, Zhou Z, Chen X, Luo J, Wang D, Zhou H.   +9 more
europepmc   +1 more source

Smart IoT applications of multi attack detection using cluster F1MI approach. [PDF]

Sci Rep
Nagavel V, Bhuvaneswari PTV, Ramesh P.
europepmc   +1 more source

A hybrid XGBoost-SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT). [PDF]

Sci Rep
Abdelhaq M, Palanisamy S, Gopinath M, Manasa VGS, Ram MA, Md SK.   +5 more
europepmc   +1 more source

Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]

Front Big Data
Nauman M, Usman Akhtar HM, Gorbani H, Hadi Ul Hassan M, Fayyaz MAB.   +4 more
europepmc   +1 more source

Biometric Presentation Attack Detection

American Journal of Computing and Engineering
Abstract   Purpose: Biometric systems play a crucial role in authentication and identification processes but are vulnerable to various attacks that compromise their security and reliability. Detecting such attacks is critical to ensuring the integrity of these systems and maintaining user trust.
openaire   +1 more source

A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems. [PDF]

Sci Rep
Sengan S, Shieh CS, Horng MF.
europepmc   +1 more source