| A Prototype Multiview Approach for Reduction of False alarm rate in Network Intrusion Detection System |
| Pages: 49-59 (11) | [Full Text] PDF (1 MB) |
| PS Rath, NK Barpanda, RP Singh, S Panda |
| SSSUTMS,SehoreUIT, SAMBALPUR |
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Abstract - Every now and then we are very much related to the network. It may be internet or intranet. We generally share personal information as well as organizational information through the network. So we should secure our network. Since last twenty years various NIDS have been developed and widely used in the network which detects efficiently the various network threats. One of the contexts of NIDS is generation of alarms when an attack is detected. But sometimes the NIDS produces false alarms. Many machine learning approaches have been applied to reduce false alarm rate, but the approaches are not multi-viewed based approach. Those approaches use single function to model a particular view and then optimize all the functions in the learning process. But here, we develop MVPSys, a practical approach to reduce false alarm which works efficiently. Here a semi-supervised learning approach is implemented on both labeled and unlabeled data. This system clearly analyzed both destination feature data set and source data set. After so many experiments, we are able to achieve 97% reduction of false alarm rate which significantly improves the efficiency. |
| Index Terms - NIDS, MVPSys, False alarm rate, Accuracy, WEKA, Snort, DARPA |
C itation - PS Rath, NK Barpanda, RP Singh, S Panda. "A Prototype Multiview Approach for Reduction of False alarm rate in Network Intrusion Detection System." International Journal of Computer Networks and Communications Security 5, no. 3 (2017): 49-59. |
| Novel Image Encryption Algorithm Based on Chaotic Map and Encoding |
| Pages: 60-65 (6) | [Full Text] PDF (647 KB) |
| SN DAVOODKHANI, L FARZINVASH |
| Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran |
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Abstract - In this paper we have designed a new image encryption algorithm, which includes a novel chaotic map and coding scheme. In the suggested approach, the coding algorithm is based on Gray code. Each pixel in the encrypted image is generated by applying XOR operation to two items: the first item is the coded form of the corresponded pixel in the original image. The second one is a pixel in the original image which is selected by the chaotic map. Experimental results shows that our chaotic map leads more randomness in comparison with the existing approaches. To evaluate the effectiveness of our algorithm, we have performed some security analysis. The results have demonstrated that the proposed approach improves entropy, correlation, and key sensitivity. Moreover, it generates smoother histograms in comparison with the existing algorithms. |
| Index Terms - Image Encryption, Chaotic Map, Coding, Gray Code, Secure Image Transmission |
C itation - SN DAVOODKHANI, L FARZINVASH. "Novel Image Encryption Algorithm Based on Chaotic Map and Encoding." International Journal of Computer Networks and Communications Security 5, no. 3 (2017): 60-65. |
| Construct Smartphone Application to Produce Photo-Mosaic Using Client-Server Model |
| Pages: 66-70 (5) | [Full Text] PDF (315 KB) |
| MY Ahmed, AY Taqa |
| Computer Science Dept. College of Computer Science and mathematics Iraq, Mosul, Mosul UniversityComputer Science Dept. college of education for pure science Iraq, Mosul, Mosul University |
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Abstract - A smartphone is a cellular telephone with an advanced mobile operating system , that combines a cell phone with a handheld computer, typically offering Internet access, data storage, email capability, etc. Photo mosaic is an image composed of a large number of one-size images. In this paper it has been proposed an application to generate photo mosaic on smartphones run with the Android operating system using (Client-Server Model). This application considered an entertaining, servicing, scientific application. The proposed application works to generate photo mosaic based on (CBIR) content based image retrieval (color features). The images are retrieving from the database to generate photo mosaic based on two methods: K-means clustering and the Patterns recognition network. The results showed that the best performance of the proposed application was through using k-means clustering and the pattern recognition neural network which merged with the K-means clustering using statistical extracted color features of image histogram with tiles size (16*16) pixels. The average time required to produce a mosaic photo with correcting colors was (26 seconds) and the mean of peak signal to noise ratio was (39.56594). |
| Index Terms - Smartphone, Photo-Mosaic, Client-Server Model, CBIR, Color Correction |
C itation - MY Ahmed, AY Taqa. "Construct Smartphone Application to Produce Photo-Mosaic Using Client-Server Model." International Journal of Computer Networks and Communications Security 5, no. 3 (2017): 66-70. |