The Role of Context in Cognitive Systems

Neel, J.; Cook, Peter; Mellen, Neal; Akbar, Ihsan; Devasirvatham, D.M.J.; Sheehe, Charles J.; Schutz, Bob

doi:10.1007/s11265-014-0885-0

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After the data analysis and module download are completed, the next focus of the vulnerability target environment construction is on the modularization of virtualization technology. Docker virtualization technology can be used to modularly build a target environment for security vulnerability practice 13 , 14 . The target environment construction element information extraction stage needs to extract the vulnerability number, vulnerability verification information, vulnerability utilization information, vulnerability type, and software information affected by the vulnerability in the vulnerability entry information according to the target environment construction requirements, and divide them into essential elements and reference elements…”

Section: Design Of Network Security Software System Based On Big Data...mentioning

confidence: 99%

(Retracted) Software development and design of network security system based on log data

Shi

et al. 2022

J. Electron. Imag.

View full text Add to dashboard Cite

With the rapid development of computer network technology and the fact that the network brings convenience to people's lives and work, security issues cannot be ignored. Various countries and social organizations build a network security vulnerability database based on big data analysis technology, use network offensive and defensive platforms to train network security talents, and the target environment as a core component in the offensive and defensive platforms plays an important role in practice. We construct a large network security data set with a security knowledge system, analyze the current construction technology and vulnerability data characteristics of major vulnerability databases at home and abroad from multiple levels, and propose a vulnerability information correlation technology based on a combination of general vulnerability numbers and specific vulnerability numbers. Also, we comprehensively analyze each vulnerability database, assess the comprehensiveness and coverage of the vulnerability data information covered, and establish the source of the vulnerability data, data reference, security content automation protocol support, proof of concept, platform environment affected by the vulnerability exploitation code situation, and other fields of network security big data sets with security knowledge system. Here, we have completed the design and implementation of the user rights management module, the centralized monitoring module, and the service desk and configuration change management module. The system can accurately monitor the operation of the system in real time, find problems in time, warn of potential risks, and promote the operation and maintenance approach to intelligent. The transformation has improved the efficiency of fault diagnosis and greatly enhanced the safety of the system. Experimental research shows that the software system automatically screens and manually confirms the vulnerabilities that meet the target construction environment, and initially constructs a total of 43 effective target environments, which provides security researchers with the understanding of vulnerability principles, hazards, and targeted network security training. A stable and convenient experimental environment.

show abstract

Section: Design Of Network Security Software System Based On Big Data...mentioning

confidence: 99%

(Retracted) Software development and design of network security system based on log data

Shi

et al. 2022

J. Electron. Imag.

View full text Add to dashboard Cite

show abstract

Big RF for homeland security applications

Neel

Baban

Mellen³

et al. 2015

2015 IEEE International Symposium on Technologies for Homeland Security (HST)

Self Cite

View full text Add to dashboard Cite

As homeland security network deployments evolve to rely on increasingly large amounts of data from a growing variety of data sources, the ability to synthesize actionable information will become progressively more challenging. A similar problem is seen in the Information Technology (IT) domain, which is pursuing Big Data techniques to gain new insights from the relationships among the mountains of data. We believe that by applying the Big Data lessons learned in the IT world to homeland security networking and electromagnetic spectrum (EMS) problems (an application that we call "Big RF"), networks can be made more effective and efficient, commanders can gain new understanding of behaviors, problems can be identified and rectified more quickly, and many complex network management problems currently requiring human intervention can be automated. This paper examines the parallels between Big Data problems and emerging cognitive radio and related wireless applications, appropriate Big Data tools for Big RF, new Big RF applications for homeland security networks, and other developments needed to enable warfighters, first responders, network managers, and cognitive radios to maximize the capabilities offered by Big Data applied to RF domain problems.

show abstract

The Role of Context in Cognitive Systems

Cited by 2 publications

References 9 publications

(Retracted) Software development and design of network security system based on log data

(Retracted) Software development and design of network security system based on log data

Big RF for homeland security applications

Contact Info

Product

Resources

About