Papers by Rozita Jamili Oskouei
IOSR Journal of Computer Engineering, 2014
To improve network security different steps has been taken as size and importance of the network ... more To improve network security different steps has been taken as size and importance of the network has increases day by day. Then chances of a network attacks increases Network is mainly attacked by some intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network intrusion detection system need to be efficient enough that chance of false alarm generation should be less, which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various services like Dos, SSH, etc by neural network.
intelligent agent is an entity that has sensors for perceiving its environment and acting throug... more intelligent agent is an entity that has sensors for perceiving its environment and acting through
effectors. Each intelligent agent has some internal characteristics such as autonomy, reactivity, goal-based
and Learning/reasoning and several external characteristics such as communication, cooperation and
mobility capabilities. E-Learning is using electronic communication techniques and internet to deliver
learning materials for learner in various distance locations. It is very important way for providing
facilities for disabled people or anyone who has problem for learning through traditional learning models.
Learning management systems (LMSs) are proposed to create virtual class-rooms. One LMS allows
learners to connect and use these systems from anywhere and anytime based on their desires. Some of the
important facilities that are providing LMSs are including: delivering learning materials to learners and
track the learners’ learning process, making quizzes and exam administration, Supporting learners’
collaboration, managing learners’ profile, Scheduling events, providing facilities for registration and
prerequisite and screening and cancellation notification and etc. Since several intelligent agents are
proposed for increasing the performance of LMSs. This paper presents a comprehensive study about
various intelligent agents that are proposed for enhancing the learning capabilities of learners in LMS
environments and their functionalitis.
This paper attempts to develop a tool for exploring the Internet behavioral patterns of students ... more This paper attempts to develop a tool for exploring the Internet behavioral patterns of students from
gender and cultural groups and mining those behaviors’ relationships with users’ academic performance.
Modeling these behaviors may be helpful for different stockholders in formulating academic policies and
guidelines. EDMINER (Educational Data Miner) is a Web based educational data mining which provides
functionalities to understand usage patterns with respect to the category of visited Websites, and various usage
statistics and detecting outliers between users based on their academic performance and Internet usage
behaviors. Our experimental results show EDMINER has capability to detect academically at risk students
before examination during semester and inform to professors for taking appropriate decisions.
It is important to provide perspectives about the effects of Internet usage on students’ personal... more It is important to provide perspectives about the effects of Internet usage on students’ personal and social behaviours
along with the impacts of these usages on their academic performances. To explore students’ Internet usage behaviors and
predicting outliers in student’s community, we have developed Web based data mining tool named Education Data Miner
(EDMiner), which provides user friendly interface for different stockholders of the system including professors and deans.
This research study was conducted with a sample of 5210 students from one engineering college in India during 36 months
continually. The primary focus of this study is to extract Internet usage pattern of students by exploring proxy server ac-
cess log files. These patterns were then used for identifying outliers in students’ community. We have applied centroid and
density based clustering methods to identify outliers. Further, the relationship between Internet usage behaviours and
various Academic and Non-academic activities were explored. Based on our results the majority of visited Websites, 35
percent, belongs to Websites under Extra-Curricular category whereas for curricular Websites it is 24 percent. Further, our
results also contradict the perception that the Internet usage adversary affects the academic performance. Moreover, our
analysis results show higher average time spent on Internet did result into nonparticipation in other activities, which are
very essential for the growth of these students. This nonparticipation in other activities may prove to be an indicator for alonliness of these individuals.
system. Our work aims to study exhaustively differential impact of Web technology on various dime... more system. Our work aims to study exhaustively differential impact of Web technology on various dimensions of students’ aca-
demic performance, co-curricular, extra-curricular and non-academic activities. We analyzed the Internet usage behavior
of students in terms of average time spent in Internet per day and category of visited Websites by them along with the ef-
fects of these Internet usage behaviors on their academic performance (CPI) and other co-curricular and extra-curricular
activities. For this analysis we used proxy server access log files of an engineering college in India which are collected
during 30 months continually. We have classified student activities (with extending ODP classification scheme) under
four categories: Curricular, Co-Curricular, Extra-Curricular and Non-Curricular. Only 59% of female students used Inter continually as against 81% of male students. This analysis led us to conclude that a significant gender gap exists in terms
of Internet usage.
Keywords: Website Classification Scheme, Open Directory Project (ODP), Internet Usage Behavior, Social Behaviors,
Academic Performance, Navigation, Pedagogical Issues.
Distributed systems exhibit a high degree of resource and data sharing creating a state
in which... more Distributed systems exhibit a high degree of resource and data sharing creating a state
in which deadlocks might make their appearance. Since deadlock detection and
resolution is one of the important concerns in distributed systems which lead to
minimizing available resources, therefore instigating the system throughput decrease.
Our proposed algorithm detects and resolves the multi-cycle deadlocks, whether the
initiator is involved in the deadlock cycle directly or indirectly. Also the chance of
phantom deadlock detection is minimized. This algorithm not only can manage the
simultaneous execution of it but also detects the multi-cycle deadlocks in the
distributed systems. Our algorithm introduces a modified probe and victim message
structure. Moreover, no extra storage required to store probe message in each node
which is known as memory overhead in the distributed systems.
Predicting Academic Performance with Applying Data Mining
Techniques (Generalizing the results o... more Predicting Academic Performance with Applying Data Mining
Techniques (Generalizing the results of two Different Case Studies) welfare. Further, with applying simple Random sampling (without replacement)
method, 300 students including 100 high school and 200 college students are
selected and the mental condition of these students is checked by our Psychologist
for identifying their stress level or any other mentality problems.
One agent in computer science is software or
other computational type entity with some intelligen... more One agent in computer science is software or
other computational type entity with some intelligence
characteristics. Therefore, an intelligent agent is a
composition of hardware, software with some intelligent
features. Each intelligent agent perceives its environment
with collecting some information about that environment
through its sensors attempt to achieve its goals by acting
through its actuators. Intelligent agents are having some
internal characteristics (such as: autonomy, Learning/
reasoning, reactivity and goal oriented) and some external
characteristics (such as: communication, cooperation,
mobility). In this paper, we attempt to provide a
comprehensive survey about history of intelligent agents’
evolution, various types of intelligent agents which are
proposed, different applications of intelligent agents and
some discussion about creating favorite intelligent agent.
International Journal of Computer Applications, 2010
Understanding the students' temporal and periodic Internet usage behaviors are essential for admi... more Understanding the students' temporal and periodic Internet usage behaviors are essential for administrators, instructors and course coordinators for evaluating Internet usage behaviors related to those students' undertaken courses or programs. In this investigation we propose a new Web usage mining approach for automatic extraction and visualization of periodic and temporal based Internet usage behaviors of individual users. Our model is able to extract each individual user's changes on periodic behaviors during different periods of a semester.
Understanding the students' temporal and periodic Internet usage behaviors are essential for admi... more Understanding the students' temporal and periodic Internet usage behaviors are essential for administrators, instructors and course coordinators for evaluating Internet usage behaviors related to those students' undertaken courses or programs. In this investigation we propose a new Web usage mining approach for automatic extraction and visualization of periodic and temporal based Internet usage behaviors of individual users. Our model is able to extract each individual user's changes on periodic behaviors during different periods of a semester.
Our purpose in this investigation is to explore an analogy in students' internet usages patterns ... more Our purpose in this investigation is to explore an analogy in students' internet usages patterns and their academic performance and personal behavior and identify factors for usage patterns on internet in terms of average time spent per a day, percentage of users visited academic-websites along with their time spent in these websites, and compare with the results of users percentage of non-academic websites usage and their time spent in these category of websites. Our survey declared more details about, which type of each category of websites, are more favorable for students and majority or minority of visited websites belongs to which categories of our categorized websites, and what is the relation between this usage pattern and students academic results? Furthermore we explored behavior based on each student's undertaken program and also semester. Our paper attempt to briefly explain all analogies of students' usage pattern related to academic issues and make a survey as a guidance for future, for planning new techniques to establishing automatically peer-to-peer connections based on educators similar behaviors , furthermore any other new methods for designing more effectible e-learning websites for academic purposes.
Our purpose in this investigation is to explore an analogy in students' internet usages patterns ... more Our purpose in this investigation is to explore an analogy in students' internet usages patterns and their academic performance and personal behavior and identify factors for usage patterns on internet in terms of average time spent per a day, percentage of users visited academic-websites along with their time spent in these websites, and compare with the results of users percentage of non-academic websites usage and their time spent in these category of websites. Our survey declared more details about, which type of each category of websites, are more favorable for students and majority or minority of visited websites belongs to which categories of our categorized websites, and what is the relation between this usage pattern and students academic results? Furthermore we explored behavior based on each student's undertaken program and also semester. Our paper attempt to briefly explain all analogies of students' usage pattern related to academic issues and make a survey as a guidance for future, for planning new techniques to establishing automatically peer-to-peer connections based on educators similar behaviors , furthermore any other new methods for designing more effectible e-learning websites for academic purposes.
The role of social networks on female students activities
The proliferation of social networking Websites has increased many folds in recent years. Present... more The proliferation of social networking Websites has increased many folds in recent years. Presently all or most of the academic institutions have made substantial investment in computing and building internet infrastructure with an objective to improve productivity of students and faculty members. This objective in turn also enhances quality of their learning experiences. Female students, who have come from different
In this paper, we attempt to get better insight on how Internet usage behaviors of female student... more In this paper, we attempt to get better insight on how Internet usage behaviors of female students in university can affect on their different academic activities also compare usage patterns of different departments' students with their teachers' patterns. In addition, we attempt to find similarities and dissimilarities of usage patterns of students on various branches and finding relationships between Internet usage pattern of female students and their academic performance CPI (Cumulative Performance Index). The other objective of this investigation is to identify factors for usage behaviors of Internet in terms of average time spent per day on Internet, number of hits(in aspects of opened or visited pages) and number of unique Websites visited per day by students of different departments or branches. This paper presents the results of a study conducted at Motilal Nehru National Institute of Technology, Allahabad (India) for a period of one year, regarding behavior mining of female students related to their Internet usage patterns with analyzing access log files. Results of this paper can help academic researchers and course coordinators for improvement of logistics and teaching methods with respect to Internet usage behavior related to branch and gender differentiation.
Internet Usage Pattern by Female Students: A Case Study
... This period included two test and one semester examination weeks ... The Computer Center runs... more ... This period included two test and one semester examination weeks ... The Computer Center runs Squid/3.0 Stables proxy server which provides number of different logs which can be used for debugging, user and site profiling, and for measurement of utilization ... MBA, MCA, M.Sc. ...
There is growing perception in academic community that internet and web resources are dominantly ... more There is growing perception in academic community that internet and web resources are dominantly used for non-academic and social purposes. There have been some studies to validate this perception. Major objective of our analysis was to investigate the relationship between usage patterns of web sites which do not contribute directly to curricular activities and their relationships with academic performances of students from gender groups This paper presents results of an analysis of log files of a technical institute's proxy server for a period of over one year. The contents of log files were pre-processed to hide the identities of users and to create relational database of fields of our interests. We have implemented algorithms for statistical analysis and validated our results using Rapid-miner. Our results confirm the hypothesis that the students dominantly use internet resources for activities which do not directly contribute to curricular program. However, a very significant percentage of this non-academic usage is directed to desirable extracurricular activities such as news, sports, media and online games etc. It is interesting to note that the female students dominantly use social networking sites where as male students dominantly use entertainment websites. A very small percentage (9%) of the total time is spent on socially unacceptable and undesirable websites which include drugs and adult websites.
Internet Usage Pattern by Female Students: A Case Study
... This period included two test and one semester examination weeks ... The Computer Center runs... more ... This period included two test and one semester examination weeks ... The Computer Center runs Squid/3.0 Stables proxy server which provides number of different logs which can be used for debugging, user and site profiling, and for measurement of utilization ... MBA, MCA, M.Sc. ...
There is growing perception in academic community that internet and web resources are dominantly ... more There is growing perception in academic community that internet and web resources are dominantly used for non-academic and social purposes. There have been some studies to validate this perception. Major objective of our analysis was to investigate the relationship between usage patterns of web sites which do not contribute directly to curricular activities and their relationships with academic performances of students from gender groups This paper presents results of an analysis of log files of a technical institute's proxy server for a period of over one year. The contents of log files were pre-processed to hide the identities of users and to create relational database of fields of our interests. We have implemented algorithms for statistical analysis and validated our results using Rapid-miner. Our results confirm the hypothesis that the students dominantly use internet resources for activities which do not directly contribute to curricular program. However, a very significant percentage of this non-academic usage is directed to desirable extracurricular activities such as news, sports, media and online games etc. It is interesting to note that the female students dominantly use social networking sites where as male students dominantly use entertainment websites. A very small percentage (9%) of the total time is spent on socially unacceptable and undesirable websites which include drugs and adult websites.
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Papers by Rozita Jamili Oskouei
effectors. Each intelligent agent has some internal characteristics such as autonomy, reactivity, goal-based
and Learning/reasoning and several external characteristics such as communication, cooperation and
mobility capabilities. E-Learning is using electronic communication techniques and internet to deliver
learning materials for learner in various distance locations. It is very important way for providing
facilities for disabled people or anyone who has problem for learning through traditional learning models.
Learning management systems (LMSs) are proposed to create virtual class-rooms. One LMS allows
learners to connect and use these systems from anywhere and anytime based on their desires. Some of the
important facilities that are providing LMSs are including: delivering learning materials to learners and
track the learners’ learning process, making quizzes and exam administration, Supporting learners’
collaboration, managing learners’ profile, Scheduling events, providing facilities for registration and
prerequisite and screening and cancellation notification and etc. Since several intelligent agents are
proposed for increasing the performance of LMSs. This paper presents a comprehensive study about
various intelligent agents that are proposed for enhancing the learning capabilities of learners in LMS
environments and their functionalitis.
gender and cultural groups and mining those behaviors’ relationships with users’ academic performance.
Modeling these behaviors may be helpful for different stockholders in formulating academic policies and
guidelines. EDMINER (Educational Data Miner) is a Web based educational data mining which provides
functionalities to understand usage patterns with respect to the category of visited Websites, and various usage
statistics and detecting outliers between users based on their academic performance and Internet usage
behaviors. Our experimental results show EDMINER has capability to detect academically at risk students
before examination during semester and inform to professors for taking appropriate decisions.
along with the impacts of these usages on their academic performances. To explore students’ Internet usage behaviors and
predicting outliers in student’s community, we have developed Web based data mining tool named Education Data Miner
(EDMiner), which provides user friendly interface for different stockholders of the system including professors and deans.
This research study was conducted with a sample of 5210 students from one engineering college in India during 36 months
continually. The primary focus of this study is to extract Internet usage pattern of students by exploring proxy server ac-
cess log files. These patterns were then used for identifying outliers in students’ community. We have applied centroid and
density based clustering methods to identify outliers. Further, the relationship between Internet usage behaviours and
various Academic and Non-academic activities were explored. Based on our results the majority of visited Websites, 35
percent, belongs to Websites under Extra-Curricular category whereas for curricular Websites it is 24 percent. Further, our
results also contradict the perception that the Internet usage adversary affects the academic performance. Moreover, our
analysis results show higher average time spent on Internet did result into nonparticipation in other activities, which are
very essential for the growth of these students. This nonparticipation in other activities may prove to be an indicator for alonliness of these individuals.
demic performance, co-curricular, extra-curricular and non-academic activities. We analyzed the Internet usage behavior
of students in terms of average time spent in Internet per day and category of visited Websites by them along with the ef-
fects of these Internet usage behaviors on their academic performance (CPI) and other co-curricular and extra-curricular
activities. For this analysis we used proxy server access log files of an engineering college in India which are collected
during 30 months continually. We have classified student activities (with extending ODP classification scheme) under
four categories: Curricular, Co-Curricular, Extra-Curricular and Non-Curricular. Only 59% of female students used Inter continually as against 81% of male students. This analysis led us to conclude that a significant gender gap exists in terms
of Internet usage.
Keywords: Website Classification Scheme, Open Directory Project (ODP), Internet Usage Behavior, Social Behaviors,
Academic Performance, Navigation, Pedagogical Issues.
in which deadlocks might make their appearance. Since deadlock detection and
resolution is one of the important concerns in distributed systems which lead to
minimizing available resources, therefore instigating the system throughput decrease.
Our proposed algorithm detects and resolves the multi-cycle deadlocks, whether the
initiator is involved in the deadlock cycle directly or indirectly. Also the chance of
phantom deadlock detection is minimized. This algorithm not only can manage the
simultaneous execution of it but also detects the multi-cycle deadlocks in the
distributed systems. Our algorithm introduces a modified probe and victim message
structure. Moreover, no extra storage required to store probe message in each node
which is known as memory overhead in the distributed systems.
Techniques (Generalizing the results of two Different Case Studies) welfare. Further, with applying simple Random sampling (without replacement)
method, 300 students including 100 high school and 200 college students are
selected and the mental condition of these students is checked by our Psychologist
for identifying their stress level or any other mentality problems.
other computational type entity with some intelligence
characteristics. Therefore, an intelligent agent is a
composition of hardware, software with some intelligent
features. Each intelligent agent perceives its environment
with collecting some information about that environment
through its sensors attempt to achieve its goals by acting
through its actuators. Intelligent agents are having some
internal characteristics (such as: autonomy, Learning/
reasoning, reactivity and goal oriented) and some external
characteristics (such as: communication, cooperation,
mobility). In this paper, we attempt to provide a
comprehensive survey about history of intelligent agents’
evolution, various types of intelligent agents which are
proposed, different applications of intelligent agents and
some discussion about creating favorite intelligent agent.