A nifty collaborative intrusion detection and prevention architecture for smart grid ecosystems

A Patel, H Alhussian, JM Pedersen, B Bounabat… - Computers & …, 2017 - Elsevier
Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
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 …

Ontology for attack detection: An intelligent approach to web application security

A Razzaq, Z Anwar, HF Ahmad, K Latif, F Munir - computers & security, 2014 - Elsevier
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 …

Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual …

RG Crespo, RF Escobar, LJ Aguilar, S Velazco… - Expert systems with …, 2013 - Elsevier
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 …

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

P Sanjeevi, B Siva Kumar, S Prasanna… - Complex & Intelligent …, 2021 - Springer
Constituting the agriculture solid substance manufacture, the post-harvest sector 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 …

[HTML][HTML] State-of-the-art methods in healthcare text classification system: AI paradigm

SK Srivastava, SK Singh, JS Suri - Frontiers in Bioscience-Landmark, 2020 - imrpress.com
Machine learning has shown its importance in delivering healthcare solutions and
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 …

Method ontology for intelligent network forensics analysis

S Saad, I Traore - … Conference on Privacy, Security and Trust, 2010 - ieeexplore.ieee.org
Network forensics is an after the fact process to investigate malicious activities conducted
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 …