Results 81 to 90 of about 1,022 (177)

Machine learning based approach to intrusion detection in internet of things environments. [PDF]

Front Artif Intell
Akinbowale OE, Adesina AT, Zerihun MF, Mashigo P.   +3 more
europepmc   +1 more source

Securing Cyber-Physical Water Infrastructures: A Hybrid Intrusion Detection System for IoT Telemetry and Industrial Protocols. [PDF]

Sensors (Basel)
López Rodríguez C, Ortega Velázquez MÁ, Jara AJ.   +2 more
europepmc   +1 more source

Detection and analysis of prompt injection in indian multilingual large language models. [PDF]

Sci Rep
Srinivasan J, Regi SA, Anbarasan AK, A S, T V, Venu S.   +5 more
europepmc   +1 more source

Robotic systems in internet of things: addressing security challenges through threat modeling and penetration testing. [PDF]

Sci Rep
War MR, Sayeed A, Wani SA, Lone A, Mir MS, Gulzar Y.   +5 more
europepmc   +1 more source

Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]

Appl Intell (Dordr)
Radanliev P.
europepmc   +1 more source

PASTA-4-PHT: a pipeline for automated security and technical audits for the personal health train. [PDF]

BMC Med Inform Decis Mak
Welten S, Kindermann K, Polat A, Görz M, Jugl M, Neumann L, Neumann A, Lohmöller J, Pennekamp J, Decker S.   +9 more
europepmc   +1 more source

Federated transfer learning for rare attack class detection in network intrusion detection systems. [PDF]

Sci Rep
Sri Abhijit C, Annie Jerusha Y, Syed Ibrahim SP, Varadharajan V.   +3 more
europepmc   +1 more source

A study on SQL injection vulnerability discovery and localization techniques based on fuzz testing

四川大学学报. 自然科学版
As Java becomes one of the most popular programming languages, it plays a critical role in web application development in sectors like finance, government, and business.
WU Hao-Tian, LIU Jia-Yong, JIA Peng
doaj  

HAMC-ID: hybrid attention-based meta-classifier for intrusion detection. [PDF]

Sci Rep
Antony Joseph Raj S, Madiajagan M.
europepmc   +1 more source

A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment. [PDF]

Sci Rep
Wei X, Dong Y.
europepmc   +1 more source