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Hartati, Sri
- Developing Mobile Agent for Intrusion Detection
Authors
1 Dept. of Informatics Engineering, State Islamic University Sunan Kalijaga, Yogyakarta, ID
2 Dept. of Computer Sciences and Electronics, Gadjah Mada University, Yogyakarta, ID
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 5, No 2 (2013), Pagination: 121-129Abstract
Mobile agent is a certain agent actively able to move from one computer to another or even travel across network to perform the task assigned. This research aimed to develop mobile agent model to detect distributed intrusion (Distributed Intrusion Detection System).
It was expected that the produced model was able to perform its task in nearly real time manner, to be immune against attack, and also fairly small overhead at the host, either in memory consumption or CPU usage. In this research, the Aglets concept was also developed to aid intrusion detection. This approach was also maintained to solve certain issues such as scalability, reliability, and configurability. Hence, the advantages and limitations of agent-based approaches will be when it is applied in real world.
Keywords
Developing Mobile Agent Model, Aglets and Intrusion Detection.- Electre Methods in Solving Group Decision Support System Bioinformatics on Gene Mutation Detection Simulation
Authors
1 Department of Information System, Computer Science Faculty of Sriwijaya University, ID
2 Departement of Computer Science and Electronics, Gadjah Mada University, ID
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 3, No 1 (2011), Pagination: 40-52Abstract
Analysis of genes expression can be done with the investigation of a particular microarray data for the description of a gen. This is done to identify what genes that were active in the human body. Detection of gene mutation is an activity that can provide contribution in the medical field. Detection of mutated gene is needed to avoid the diseases caused by them such as cancer. The detection of gene mutations can be performed by utilizing computer-based system. Group Decision Support System (GDSS) is a computer-based system that can be utilized in detecting human gene mutations that cause disease. The ELECTRE method, which is a Multi-Attribute Decision Making, is a method in modeling multi-criteria GDSS. In this paper we propose implementation of model for multi-criteria GDSS in which the simulation data is the mutated genes that can cause cancer.Keywords
Bioinformatics, Group Decision Support System, ELECTRE, Gene Mutation.- Detection of Toxoplasma gondii in Cat’s Internal Organs by Immunohistochemistry Methods Labeled With-[Strept] Avidin-Biotin
Authors
1 Parasitology Laboratory, Syiah Kuala University, Banda Aceh, ID
2 Department of Parasitology, Gadjah Mada University, Yogyakarta, ID
3 Veterinary Public Health of Laboratory, Diseases Investigation Center, Wates, Yogyakarta, ID
4 Department of Clinic, Gadjah Mada University, Yogyakarta, ID
5 Department of Pathology, FKH UGM, Sekip Unit II Yogyakarta 55281, Yogyakarta, ID
6 Pathology Laboratory, Syiah Kuala University Banda Aceh, ID
Source
Veterinary World, Vol 10, No 9 (2017), Pagination: 1035-1039Abstract
Aim: The aims of the study are to detect the presence of Toxoplasma gondii antigen and to determine its distribution location in several organs of domestic cat using immunohistochemistry (IHC) method with Labeled-[Strept] Avidin-Biotin (LAB-SA).Material and Methods: Four domestic cats aged 1-2 years were used as sample in this research. The sample divided into two groups with two cats each. Cats in Group I were positive Toxoplasma based on serologically screening test, while cats in Group II were orally infected with 1×106 Toxoplasma oocyst. All samples then necropsied, and the organs including brain, liver, kidney, duodenum, jejunum, ileum, lungs, and spleen were collected for IHC method with LAB-SA.
Result: The result showed that Toxoplasma antigens were detected in ileum of both serologically positive domestic cat and the experimentally infected cats. Toxoplasma was also observed in kidney of serologically positive domestic cat. In the serologically positive domestic cat, necrotic lesions were found on ileum, kidney, and liver, whereas in experimentally infected cat, the lesion was only found on ileum.
Conclusion: The presence of Toxoplasma antigen is successfully detected in several organs of domestic cat using IHC method with the LAB-SA.