Results 71 to 80 of about 165,511 (160)

A spin-orbit torque-based key generation system with key concealment and attack detection through irreversible physical changes. [PDF]

Sci Adv
Xu Y, Duan W, Wu H, Wang Y, Qin T, Zhang S, Guo Z, Wan M, Song M, You L.   +9 more
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

Retraction Note: Strengthening network DDOS attack detection in heterogeneous IoT environment with federated XAI learning approach. [PDF]

Sci Rep
Almadhor A, Altalbe A, Bouazzi I, Al Hejaili A, Kryvinska N.   +4 more
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

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

Hybrid optimization-based quantum-driven multi-relational graph attention networks for enhanced cyber attack detection in medical IoT networks. [PDF]

Sci Rep
Krishna Kumari R, Komala CR, Afreen Banu E, Sivaramkrishnan M, Siva Ramkumar M, Sekar K, Muzammil K, Islam S, Zewdie A.   +8 more
europepmc   +1 more source

Dynamic weight clustered federated learning for IoT DDoS attack detection. [PDF]

Sci Rep
Beshah YK, Abebe SL, Melaku HM.
europepmc   +1 more source