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A nifty collaborative intrusion detection and prevention architecture for smart grid ecosystems
Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
through open networks that are potentially susceptible to cyber-attacks with very acute …
through open networks that are potentially susceptible to cyber-attacks with very acute …
Ontology in Hybrid Intelligence: a concise literature review
SF Pileggi - arxiv preprint arxiv:2303.17262, 2023 - arxiv.org
In a context of constant evolution and proliferation of AI technology, Hybrid Intelligence is
gaining popularity to refer a balanced coexistence between human and artificial intelligence …
gaining popularity to refer a balanced coexistence between human and artificial intelligence …
Ontology for attack detection: An intelligent approach to web application security
Conventional detection techniques struggle to keep up with the inherent complexity of web
application design and hence the ever growing variety of attacks that can exploit it. Security …
application design and hence the ever growing variety of attacks that can exploit it. Security …
Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual …
This paper describes the implementation of a virtual World based in GNU OpenSimulator.
This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web …
This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web …
An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses
Constituting the agriculture solid substance manufacture, the post-harvest sector processing
schema is direct to preventing reduce the losses in intelligent agriculture. Many processing …
schema is direct to preventing reduce the losses in intelligent agriculture. Many processing …
Malware detection based on cloud computing integrating intrusion ontology representation
CA Martínez, GI Echeverri… - 2010 IEEE Latin-American …, 2010 - ieeexplore.ieee.org
This paper aims to present a model for malware detection, uCLAVS (University of Caldas'
AntiVirus Service), a multiple engine service that follows the set of defined protocols and …
AntiVirus Service), a multiple engine service that follows the set of defined protocols and …
[HTML][HTML] State-of-the-art methods in healthcare text classification system: AI paradigm
Machine learning has shown its importance in delivering healthcare solutions and
revolutionizing the future of filtering huge amountd of textual content. The machine …
revolutionizing the future of filtering huge amountd of textual content. The machine …
Distributed denial of service (DDoS) attacks detection using machine learning prototype
MS Hoyos Ll, GA Isaza E, JI Vélez… - Distributed Computing and …, 2016 - Springer
Abstract The Distributed Denial of Service (DDoS) attacks affect the availability of Web
services for an indeterminate period of time, flooding the company's servers with fraudulent …
services for an indeterminate period of time, flooding the company's servers with fraudulent …
Method ontology for intelligent network forensics analysis
Network forensics is an after the fact process to investigate malicious activities conducted
over computer networks by gathering useful intelligence. Recently, several machine …
over computer networks by gathering useful intelligence. Recently, several machine …
EXEHDA-HM: A compositional approach to explore contextual information on hybrid models
R da Silva Machado, RB Almeida, DYL da Rosa… - Future Generation …, 2017 - Elsevier
The current proposals of hybrid context modeling bring new challenges, an important one is
how applications can access and process data stored on these models. Thinking about that …
how applications can access and process data stored on these models. Thinking about that …