{"title":"An Instrumented Analysis of Unknown Software and Malware Driven by Free Libre Open Source Software","authors":"G. Wagener, A. Dulaunoy, T. Engel","doi":"10.1109/SITIS.2008.57","DOIUrl":"https://doi.org/10.1109/SITIS.2008.57","url":null,"abstract":"Reverse engineering is often the last resort for analyzing unknown or closed source software. Such an investigation is motivated by a risk evaluation of closed source programs or by evaluating consequences and countermeasures against infections by malicious programs that are often closed source. This article presents a success story where we used and modified free software serving as environment for analyzing unknown software. We explain how a malware sandbox can be constructed based on free software. Moreover we describe how we modified free software to improve malware analysis with additional features or extensions. Free software helped us to increase the accuracy of malware or unknown software analysis.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Just Noticeable Distortion Model and Its Application in Color Image Watermarking","authors":"Kuo-Cheng Liu","doi":"10.1109/SITIS.2008.67","DOIUrl":"https://doi.org/10.1109/SITIS.2008.67","url":null,"abstract":"In this paper, a perceptually adaptive watermarking scheme for color images is proposed in order to achieve robustness and transparency. A new just no-ticeable distortion (JND) estimator for color images is first designed in the wavelet domain. The key issue of the JND model is to effectively integrate visual mask-ing effects. The estimator is an extension to the per-ceptual model that is used in image coding for gray-scale images. Except for the visual masking effects given coefficient by coefficient by taking into account the luminance content and the texture of grayscale images, the crossed masking effect given by the inter-action between luminance and chrominance compo-nents and the effect given by the variance within the local region of the target coefficient are investigated such that the visibility threshold for the human visual system (HVS) can be evaluated. In a locally adaptive fashion based on the wavelet decomposition, the esti-mator applies to all subbands of luminance and chrominance components of color images and is used to measure the visibility of wavelet quantization errors. The subband JND profiles are incorporated into a color image watermarking scheme. Performance in terms of robustness and transparency of the water-marking scheme is obtained by means of the proposed approach to embed the maximum strength watermark while maintaining the perceptually lossless quality of the watermarked color image. Simulation results show that the proposed scheme with inserting watermarks into luminance and chrominance components is more robust than the existing scheme while retaining the watermark transparency.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122234875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing Multiple News Sites by Contrasting Articles","authors":"Masaharu Yoshioka","doi":"10.1109/SITIS.2008.42","DOIUrl":"https://doi.org/10.1109/SITIS.2008.42","url":null,"abstract":"Today, there is access to large numbers of news sites in different countries, and there are several experimental systems, such as Newsblaster and NewsExplorer, that integrate news articles about a particular event from multiple news sites. These systems enable a good understanding of particular events by using multiple news sites, but they ignore the characteristics of the various news sites. To characterize the differences between news sites, the News Site Contrast (NSContrast) system has been proposed. This system analyzes multiple news sites using the concept of contrast- set mining. However, NSContrast has only limited analysis functions and is not mature enough for evaluation via user experiments. Therefore, in this paper, we analyze contrast set mining results for NSContrast, aiming to understand the requirements for extracting useful information that also reflects the interests of different countries. Based on this analysis, a new NSContrast is introduced and applied to a news article database constructed from multiple news sites in different countries for user experimentation.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Alternative Fuzzy C-Means Clustering for DNA Computing Readout Method Implemented on DNA Engine Opticon 2 System","authors":"M. F. Saaid, Z. Ibrahim, M. Khalid, A. Yahya","doi":"10.1109/SITIS.2008.51","DOIUrl":"https://doi.org/10.1109/SITIS.2008.51","url":null,"abstract":"In the previous paper, a readout approach for the Hamiltonian path problem (HPP) in DNA computing based on the real-time polymerase chain reaction (PCR) was proposed. Based on this approach, real-time amplification was performed with the TaqMan probes and the TaqMan detection mechanism was exploited for the design and development of the readout approach. The readout approach consists of two steps: real-time amplification in vitro using TaqMan-based real-time PCR, followed by information processing in silico to assess the results of real-time amplification, which in turn, enables extraction of the Hamiltonian path. However, the previous method used manual classification of two different output reactions of real-time PCR. In this paper, alternative fuzzy c-means (AFCM) clustering algorithm is used to identify automatically two different reactions in realtime PCR. We show that AFCM clustering technique can be implemented for clustering output results of DNA computing readout method based on DNA Engine Opticon 2 system.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132941973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}