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2016 1st India International Conference on Information Processing (IICIP)最新文献

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PData security using RSA encryption combined with image steganography PData安全采用RSA加密结合图像隐写
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975347
Shubhi Mittal, Shivika Arora, Rachna Jain
{"title":"PData security using RSA encryption combined with image steganography","authors":"Shubhi Mittal, Shivika Arora, Rachna Jain","doi":"10.1109/IICIP.2016.7975347","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975347","url":null,"abstract":"The increasing usage and dependency on Internet has made security of data a priority and a reason of concern. Data on cloud contains all kinds of personal and professional information, and cloud communication opens the doors to interceptions wherein secret information can be extracted by undesirable people with an intention of malicious usage to any extent. Hence certain measures can be taken in order to ensure the security of data on cloud, so that communications cannot be intercepted and if they are then it is difficult to crack the code. Steganography and encryption combined enhance cloud security by providing dual layer protection to the data, as steganography aims at hiding the existence of the data itself and encryption prevents the correct interpretation of the data. We have taken into consideration RSA algorithm for encryption and image steganography for data hiding using LSB technique.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128740193","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}
引用次数: 12
Relationship of mobile geo-location with PII and behavioral attributes 移动地理定位与PII和行为属性的关系
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975392
Siva Kumar Sudikonda, Venkata N. Inukollu
{"title":"Relationship of mobile geo-location with PII and behavioral attributes","authors":"Siva Kumar Sudikonda, Venkata N. Inukollu","doi":"10.1109/IICIP.2016.7975392","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975392","url":null,"abstract":"Mobility is a key element to one's individual freedom and survival. With the rising influence of mobile device accessibility, the Earth is going wireless. The users of the mobile devices are dependent on the native or third party applications to perform their routine activities such as banking, shopping, navigation, reservations, online payments. While the apps have improved the lifestyles of the users, many of the end-users are incognizant about the data that the applications collect from their devices. The data accumulated by the applications may range from photos to videos, emails to remainders, and contacts to locations [1]. In this report, we investigate the relationship between the sensitive data attributes which are gathered up from the various mobile applications and demonstrate the relationship of this data with the Geo-location. In addition, we discuss about the Personally Identifiable Information(PII) such as person's name, birth-date, age, gender, address, area zip code, phone number and also the behavioral information for example medical information, online posts, username, employment details and friends list along with the geo-location in the dynamic application analysis. The paper also presents and discuss the information on data sharing by mobile apps with third party domain/s.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130684646","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}
引用次数: 0
Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram 利用k均值分割和归一化直方图从mri中有效检测脑肿瘤
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975365
Garima Singh, M. A. Ansari
{"title":"Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram","authors":"Garima Singh, M. A. Ansari","doi":"10.1109/IICIP.2016.7975365","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975365","url":null,"abstract":"Magnetic resonance imaging (MRI) is a technique which is used for the evaluation of the brain tumor in medical science. In this paper, a methodology to study and classify the image de-noising filters such as Median filter, Adaptive filter, Averaging filter, Un-sharp masking filter and Gaussian filter is used to remove the additive noises present in the MRI images i.e. Gaussian, Salt & pepper noise and speckle noise. The de-noising performance of all the considered strategies is compared using PSNR and MSE. A novel idea is proposed for successful identification of the brain tumor using normalized histogram and segmentation using K-means clustering algorithm. Efficient classification of the MRIs is done using Naïve Bayes Classifier and Support Vector Machine (SVM) so as to provide accurate prediction and classification.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114784664","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}
引用次数: 62
A hybrid approach for test case prioritization and optimization using meta-heuristics techniques 使用元启发式技术进行测试用例优先级和优化的混合方法
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975319
Pavi Saraswat, Abhishek Singhal
{"title":"A hybrid approach for test case prioritization and optimization using meta-heuristics techniques","authors":"Pavi Saraswat, Abhishek Singhal","doi":"10.1109/IICIP.2016.7975319","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975319","url":null,"abstract":"Software testing is a very crucial and important phase for (SDLC) software development life cycle. Software is being tested on its effectiveness for generating good quality software. Regression testing is done by considering the constraints of resources and in this phase optimization of test suite is very important and crucial. This paper mainly aims to make use of hybrid approach of meta-heuristics, It comprises of two algorithms first is genetic algorithm and second is particle swarm optimization. In addition to algorithm the comparison of proposed algorithm hybrid GA_PSO with other optimization algorithms are been done. To validate the research Average Percentage Fault Detection (APFD) metric is used for comparison and fitness evaluation of the proposed algorithm.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123885958","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}
引用次数: 8
Iris recognition using 2-D Gabor filter and XOR-SUM code 利用二维Gabor滤波器和XOR-SUM码进行虹膜识别
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975369
Ritesh Vyas, T. Kanumuri, G. Sheoran
{"title":"Iris recognition using 2-D Gabor filter and XOR-SUM code","authors":"Ritesh Vyas, T. Kanumuri, G. Sheoran","doi":"10.1109/IICIP.2016.7975369","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975369","url":null,"abstract":"Iris based person identification has become very largely used biometric technology. This paper proposes a technique of feature extraction of iris images, which uses 2-D Gabor filter with four orientations. XOR and SUM operations on the real and imaginary output for each orientation result into a number which is further encoded into bits to give the feature vector. Experiments show that XOR-SUM Code is providing increased recognition accuracy (i.e. GAR) as compared to another feature extraction technique DCT. GAR value for XOR-SUM Code is 96.33% while for DCT, its value is 90.79%.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264729","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}
引用次数: 26
Comparing and evaluating the performance of WEKA classifiers on critical diseases 比较和评价WEKA分类器在危重疾病上的性能
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975309
Munaza Ramzan
{"title":"Comparing and evaluating the performance of WEKA classifiers on critical diseases","authors":"Munaza Ramzan","doi":"10.1109/IICIP.2016.7975309","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975309","url":null,"abstract":"Cancer, Cardiovascular diseases and Diabetes are the leading causes of death worldwide. The Classification and Characterization for the treatment strategies are essential for these critical diseases. Data mining have been used in real time applications due to its artificial intelligence nature. It is highly used in medical domain as it helps in better predictions and supports in decision making. This paper analyses the medical data using data mining technique called WEKA. Some data mining classification algorithms (like J48, naïve-bayes and random-forest) are implemented on the dataset.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114997418","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}
引用次数: 17
Improving data structure operations for high dimensional data 改进高维数据的数据结构操作
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975327
Bhoomika Panchal, Vinit Kumar
{"title":"Improving data structure operations for high dimensional data","authors":"Bhoomika Panchal, Vinit Kumar","doi":"10.1109/IICIP.2016.7975327","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975327","url":null,"abstract":"Here, we focus on a search operation that performs on high dimensional dataset. Many indexing structure are there like R-tree and its variants that are not applicable for high dimensional dataset. When depth of tree increases than searching operation is take more time. Due to this we are using a new data structure R-train which improves the search complexity. That is also work with historical movements of objects and spatial objects of data structure operations. It also reduces the time taken by memory to fetch the data from the storage.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122888275","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}
引用次数: 0
A novel approach for salient region detection 一种新的显著区检测方法
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975335
S. Raikwar, Ruchira Manke, C. Bhatnagar, A. S. Jalal
{"title":"A novel approach for salient region detection","authors":"S. Raikwar, Ruchira Manke, C. Bhatnagar, A. S. Jalal","doi":"10.1109/IICIP.2016.7975335","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975335","url":null,"abstract":"Selective attention is a part of cognition process. An object in an image gets attention only if human eye attracts towards it. The brain relies on attention to detect salient part of an Image and filter out background details. The salient object detection problem is formulated as segmentation of Image to separate salient object from background. The proposed method is based on the feature used to measure human perception. The proposed method works in two steps, firstly the probable salient region is extracted based on human perception, then the color distribution is used to extract salient object. The efficiency and accuracy of proposed work measured on a standard database (MSRA).","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149556","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}
引用次数: 0
Performance analysis of wavelet filter bank for an image super resolution algorithm 一种图像超分辨率算法的小波滤波器组性能分析
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975346
Upendra Bhatt, Anjani Singh, H. Bhadauria
{"title":"Performance analysis of wavelet filter bank for an image super resolution algorithm","authors":"Upendra Bhatt, Anjani Singh, H. Bhadauria","doi":"10.1109/IICIP.2016.7975346","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975346","url":null,"abstract":"Image super-resolution is a technique in which a high-resolution image is generated using a single or multiple low-resolution images. In this paper, an image super-resolution algorithm is proposed in which Discrete wavelet transform (DWT) is used to generate different frequency sub-bands of the image and Stationary wavelet transform (SWT) overcomes the issue of lack of translation invariance of DWT so it is used here with DWT. To preserve more edge information Canny Edge extraction operator has been applied to the input image and subbands are interpolated using Lanczos interpolation. The high-frequency sub bands and the input image are passed through Non-Local Mean (NLM) filter to reduce the artifacts generated by DWT. Different orthogonal and bi-orthogonal filters have been applied to this algorithm and different quality parameters such as PSNR, MSE, RMSE, SSIM and Correlation coefficient are calculated. It is found that db2 wavelet is showing better results.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121780770","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}
引用次数: 2
Copy-move forgery detection using ASIFT 使用ASIFT的复制-移动伪造检测
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975329
R. Karsh, Anurag Das, G. Swetha, A. Medhi, R. Laskar, Utkarsh Arya, Rohit Agarwal
{"title":"Copy-move forgery detection using ASIFT","authors":"R. Karsh, Anurag Das, G. Swetha, A. Medhi, R. Laskar, Utkarsh Arya, Rohit Agarwal","doi":"10.1109/IICIP.2016.7975329","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975329","url":null,"abstract":"Detecting forgeries in images especially those involved in Copy-Move forgery could become a challenging prospect in the acreage of image forensics. The significance of detecting such forgeries comes to light, given the rise of such malpractices. Now we will see a approach using ASIFT which is planned to expose regions which have been copied and then pasted in another region to either duplicate information or hide critical details. Special importance has been given to forgeries involving affine transformations as they are rather onerous to detect. Copy-Move forgery apprehension using this approach gives better results as compared to detection using SIFT. Extensive testing on images with significant affine transformations justifies this.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124141309","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}
引用次数: 6
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