The Job selection process in today’s globally competitive economy can be a daunting task for prospective
employees no matter their experience level. Although many years of research has been devoted to job
search and application resulting in good integration with information technology including the internet and
intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas
include the quality of jobs associated with applicants in the job search by profiling the needs of employers
against the needs of prospective employees and the security and verifications schemes integrated to reduce
the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography
technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and
increased security. With this in mind we propose the intelligent mobile agents instead of human agents to
perform the Job search using fuzzy preferences which is been published elsewhere and application
operations incorporating the use of agents with a trust authority to establish employer trust and validate
applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP
and Android to provide a robust, secure, user friendly solution.
%0 Journal Article
%1 noauthororeditor
%A Bogle, Salathiel
%A Sankaranarayanan, Suresh
%D 2012
%J International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
%K Agents Android Cryptography JADE-LEAP M-commerce
%N 1
%P 75-94
%R 10.5121/ijcseit.2012.2108
%T BIOMETRIC APPLICATION OF INTELLIGENT
AGENTS IN FAKE DOCUMENT DETECTION OF JOB
APPLICANTS
%U http://airccse.org/journal/ijcseit/papers/2112ijcseit08.pdf
%V 2
%X The Job selection process in today’s globally competitive economy can be a daunting task for prospective
employees no matter their experience level. Although many years of research has been devoted to job
search and application resulting in good integration with information technology including the internet and
intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas
include the quality of jobs associated with applicants in the job search by profiling the needs of employers
against the needs of prospective employees and the security and verifications schemes integrated to reduce
the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography
technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and
increased security. With this in mind we propose the intelligent mobile agents instead of human agents to
perform the Job search using fuzzy preferences which is been published elsewhere and application
operations incorporating the use of agents with a trust authority to establish employer trust and validate
applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP
and Android to provide a robust, secure, user friendly solution.
@article{noauthororeditor,
abstract = {The Job selection process in today’s globally competitive economy can be a daunting task for prospective
employees no matter their experience level. Although many years of research has been devoted to job
search and application resulting in good integration with information technology including the internet and
intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas
include the quality of jobs associated with applicants in the job search by profiling the needs of employers
against the needs of prospective employees and the security and verifications schemes integrated to reduce
the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography
technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and
increased security. With this in mind we propose the intelligent mobile agents instead of human agents to
perform the Job search using fuzzy preferences which is been published elsewhere and application
operations incorporating the use of agents with a trust authority to establish employer trust and validate
applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP
and Android to provide a robust, secure, user friendly solution.
},
added-at = {2018-08-27T10:48:53.000+0200},
author = {Bogle, Salathiel and Sankaranarayanan, Suresh},
biburl = {https://www.bibsonomy.org/bibtex/2834ffc9a0c74a09fc1c80b8739e4d5fd/ijcseit},
doi = {10.5121/ijcseit.2012.2108},
interhash = {3959cda47cda85e17aeddfdb26c1e65f},
intrahash = {834ffc9a0c74a09fc1c80b8739e4d5fd},
issn = {2231-3117 [Online] ; 2231-3605 [Print]},
journal = {International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)},
keywords = {Agents Android Cryptography JADE-LEAP M-commerce},
language = {English},
month = feb,
number = 1,
pages = {75-94},
timestamp = {2018-08-27T10:48:53.000+0200},
title = {BIOMETRIC APPLICATION OF INTELLIGENT
AGENTS IN FAKE DOCUMENT DETECTION OF JOB
APPLICANTS
},
url = {http://airccse.org/journal/ijcseit/papers/2112ijcseit08.pdf},
volume = 2,
year = 2012
}