A maximum likelihood Hebbian learning-based method to an agent-based architecture

Corchado, Emilio; Pellicer, María A.; Borrajo, M. Lourdes

doi:10.1080/00207160802649973

Cited by 15 publications

(16 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These capabilities can be implemented with different tools [46]. Open MAS should allow the participation of heterogeneous agents with different architectures and even different languages [13,47]. The development of open MAS is still a recent field of the MAS paradigm and its development will allow applying the agent technology in new and more complex application domains.…”

Section: Agent-based Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Infrastructure to simulate intelligent agents in cloud environments

Prieta

Rodrı́guez

Corchado

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

View full text Add to dashboard Cite

Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI.

show abstract

Section: Agent-based Simulationmentioning

confidence: 99%

“…Open MAS should allow the participation of heterogeneous agents with different architectures and even different languages [13,47]. However, it is necessary to define new solutions that allow the connection on ABS simulation software.…”

Section: Introductionmentioning

confidence: 99%

Infrastructure to simulate intelligent agents in cloud environments

Prieta

Rodrı́guez

Corchado

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

View full text Add to dashboard Cite

show abstract

“…The application of CMLHL, initially in the field of artificial vision [10,11], and subsequently to other interesting topics [14,37,39,40], has proven that this model can successfully perform data visualization.…”

Section: Cooperative Maximum Likelihood Hebbian Learningmentioning

confidence: 99%

idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining

Pinzón¹,

Paz²,

Herrero³

et al. 2013

Information Sciences

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThis study presents a multiagent architecture aimed at detecting SQL injection attacks, which are one of the most prevalent threats for modern databases. The proposed architecture is based on a hierarchical and distributed strategy where the functionalities are structured on layers. SQL-injection attacks, one of the most dangerous attacks to online databases, are the focus of this research. The agents in each one of the layers are specialized in specific tasks, such as data gathering, data classification, and visualization. This study presents two key agents under a hybrid architecture: a classifier agent that incorporates a Case-Based Reasoning engine employing advanced algorithms in the reasoning cycle stages, and a visualizer agent that integrates several techniques to facilitate the visual analysis of suspicious queries. The former incorporates a new classification model based on a mixture of a neural network and a Support Vector Machine in order to classify SQL queries in a reliable way. The latter combines clustering and neural projection techniques to support the visual analysis and identification of target attacks. The proposed approach was tested in a real-traffic case study and its experimental results, which validate the performance of the proposed approach, are presented in this paper.

show abstract

“…It was initially applied to the artificial vision field [58,60] and then to some other problems [62][63][64].…”

Section: Unsupervised Connectionist Visualization For Movcidsmentioning

confidence: 99%

Neural visualization of network traffic data for intrusion detection

Corchado

Herrero

2011

Applied Soft Computing

Self Cite

151

View full text Add to dashboard Cite

-This study introduces and describes a novel Intrusion Detection System (IDS) called MOVCIDS (MObile Visualization Connectionist IDS). This system applies neural projection architectures to detect anomalous situations taking place in a computer network. By its advanced visualization facilities, the proposed IDS allows providing an overview of the network traffic as well as identifying anomalous situations tackled by computer networks, responding to the challenges presented by volume, dynamics and diversity of the traffic, including novel (0-day) attacks. MOVCIDS provides a novel point of view in the field of IDSs by enabling the most interesting projections (based on the fourth order statistics; the kurtosis index) of a massive traffic dataset to be extracted. These projections are then depicted through a functional and mobile visualization interface, providing visual information of the internal structure of the traffic data. The interface makes MOVCIDS accessible from any mobile device to give more accessibility to network administrators, enabling continuous visualization, monitoring and supervision of computer networks. Additionally, a novel testing technique has been developed to evaluate MOVCIDS and other IDSs employing numerical datasets. To show the performance and validate the proposed IDS, it has been tested in different real domains containing several attacks and anomalous situations. In addition, the importance of the temporal dimension on intrusion detection, and the ability of this IDS to process it, are emphasized in this work.

show abstract

A maximum likelihood Hebbian learning-based method to an agent-based architecture

Cited by 15 publications

References 20 publications

Infrastructure to simulate intelligent agents in cloud environments

Infrastructure to simulate intelligent agents in cloud environments

idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining

Neural visualization of network traffic data for intrusion detection

Contact Info

Product

Resources

About