Application of Case based Reasoning in IT Security Incident Response

2015 ◽  
Vol 2 (1) ◽  
Keyword(s):  
Case Based Reasoning ◽  
It Security ◽  
Incident Response ◽  
Security Incident ◽  
Case Based

scholarly journals Preparation, detection, and analysis: the diagnostic work of IT security incident response

2010 ◽  
Vol 18 (1) ◽  
pp. 26-42 ◽  
Author(s):  
Rodrigo Werlinger ◽  
Kasia Muldner ◽  
Kirstie Hawkey ◽  
Konstantin Beznosov
Keyword(s):  
It Security ◽  
Incident Response ◽  
Security Incident ◽  
Diagnostic Work

scholarly journals Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yongfeng Ma ◽  
Wenbo Zhang ◽  
Jian Lu ◽  
Li Yuan
Keyword(s):  
Bayesian Theory ◽  
Incident Management ◽  
Case Based Reasoning ◽  
Incident Response ◽  
Traffic Incidents ◽  
Automated Generation ◽  
Traffic Incident ◽  
Response Plan ◽  
Traffic Incident Management ◽  
Case Based

Traffic incident response plan, specifying response agencies and their responsibilities, can guide responders to take actions effectively and timely after traffic incidents. With a reasonable and feasible traffic incident response plan, related agencies will save many losses, such as humans and wealth. In this paper, how to generate traffic incident response plan automatically and specially was solved. Firstly, a well-known and approved method, Case-Based Reasoning (CBR), was introduced. Based on CBR, a detailed case representation andR5-cycle of CBR were developed. To enhance the efficiency of case retrieval, which was an important procedure, Bayesian Theory was introduced. To measure the performance of the proposed method, 23 traffic incidents caused by traffic crashes were selected and three indicators, PrecisionP, RecallR, and IndicatorF, were used. Results showed that 20 of 23 cases could be retrieved effectively and accurately. The method is practicable and accurate to generate traffic incident response plans. The method will promote the intelligent generation and management of traffic incident response plans and also make Traffic Incident Management more scientific and effective.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Feature level intentions based product recommendations with case-based reasoning

2018 ◽  
Vol 6 (1) ◽  
pp. 266-274
Author(s):  
D. Teja Santosh ◽  
◽  
K.C. Ravi Kumar ◽  
P. Chiranjeevi ◽  
◽  
...  
Keyword(s):  
Case Based Reasoning ◽  
Product Recommendations ◽  
Case Based

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK DENGAN METODE CASE-BASED REASONING DENGAN ALGORITMA SIMILARITY JACCARD PADA PUSKESMAS HALMAHERA SEMARANG

2020 ◽  
Vol 11 (2) ◽  
pp. 57-63
Author(s):  
Didik Trisulo ◽  
Setyawan Wibisono
Keyword(s):  
Case Based Reasoning ◽  
Case Based

Kesehatan merupakan hal yang paling berharga bagi manusia, karena siapa saja rentan mengalami gangguan kesehatan. Anak sangat rentan terhadap kuman penyakit dan kepekaan terhadap gejala suatu penyakit merupakan ketakutan sendiri bagi orang tua. Orang tua merupakan orang awam terhadap dunia kesehatan. Sehingga dalam hal ini di bidang kesehatan lebih membutuhkan seorang pakar yang bisa memudahkan mendiagnosa suatu penyakit lebih cepat agar orang tua dapat melakukan pencegahan lebih awal yang sekiranya bisa membutuhkan waktu lebih lama jika berkonsultasi dengan dokter ahli. Tujuan dari penelitian ini adalah merancang dan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang sehingga membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang berbasis web.         Perancangan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang ini dibuat dengan menggunakan tools seperti PHP, Xampp, Bootstrap.                 Hasil sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang dapat membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang  

SISTEM PAKAR RESEP MINUMAN TRADISIONAL MENGGUNAKAN METODE CASE-BASED REASONING

2019 ◽  
Vol 11 (1) ◽  
pp. 36-43
Author(s):  
Rico Darmawan ◽  
Setyawan Wibisono
Keyword(s):  
Case Based Reasoning ◽  
Case Based

ABSTRAK Dengan bermacam-macam minuman tradisional Jawa, orang yang ingin membuat minuman akan kebingungan untuk menentukan menu minuman tradisional Jawa. Banyak orang yang belum mengerti dengan resep tradisional Jawa dan cara membuatnya, apalagi jika orang tersebut hanya memiliki beberapa bahan yang dia punya.  Penelitian ini merupakan implementasi dari Case Based Reasoning (CBR) berbasis web, dengan tujuan mempermudah pengguna dalam menentukan resep minuman tradisional jawa dan tidak perlu bertanya langsung pada pakar. Dalam penelitian ini proses pencarian resep minuman tradisional jawa dengan menggunakan metode case based reasoning yang menerapkan 4 tahapan proses, yaitu retrieve, reuse, revise, retain. Pada proses retrieve sistem mencari kemiripan antara bahan inputan dengan bahan resep minuman. Untuk proses retrieve ini akan dilakukan penjumlahan kemiripan bahan inputan. Pada proses reuse  hasil penjumlahan yang paling tinggi tingkat kemiripannya yang akan digunakan sebagai solusi. Pada proses revise hasil persentase yang kurang dari 50 persen sistem akan tetap memberikan saran, namun nilai kemiripannya relatif sangat rendah. Proses retain digunakan saat solusi sudah ditemukan oleh pakar dan menyimpannya kembali pada database untuk digunakan pencarian pada kasus baru. Untuk memudahkan mengolah data menu resep minuman diberikan sisi admin, dan melihat data resep minuman pada sisi pengguna. Data tersebut ditampilkan dalam bentuk tabel.  

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