Abstract A critical challenge for privacy preserving is to enable internet users to exert some control over their personal data and meet the needs of websites to use personal data in reasonable business procedures. Privacy problem is becoming rather serious in an increasingly digital society especially for countries where necessary legal and regulation systems for personal data protection have not been well established. Thus... A critical challenge for privacy preserving is to enable internet users to exert some control over their personal data and meet the needs of websites to use personal data in reasonable business procedures. Privacy problem is becoming rather serious in an increasingly digital society especially for countries where necessary legal and regulation systems for personal data protection have not been well established. Thus we presented PSP (Privacy Service Provider) mechanism as an adjunct. Different from legislation and self-regulation which protect privacy by passively restricting the collection and usage of personal data, PSP protects privacy by actively providing personal data management and usage services. Internet users store their personal data in PSP and fulfill basic management like modification and access control. Instead of collecting personal data themselves, websites could get access to the personal data usage services provided by PSP including user authentication, advertising, and data analysis. Any processing on users’ privacy data will be recorded for feedback service. The design model of PSP was analyzed as well as the possible implementation of services provided to both internet users and websites. Read More Read Less

Abstract This paper proposes the new algorithm for encrypting the plain text into the cipher text. In this algorithm we combine different symmetric algorithm into one algorithm with little change in those algorithm. All the traditional algorithm are very week and cryptanalysis easily cracked the cipher text and convert that cipher text into the plain text. In this encryption algorithm, a new concept of... This paper proposes the new algorithm for encrypting the plain text into the cipher text. In this algorithm we combine different symmetric algorithm into one algorithm with little change in those algorithm. All the traditional algorithm are very week and cryptanalysis easily cracked the cipher text and convert that cipher text into the plain text. In this encryption algorithm, a new concept of substitution technique i.e. Caesar Cipher & Hill Cipher are combine along with the transposition technique i.e. Rail fence technique are used to make more secure and stronger algorithm. The plain texts are encrypted in such a way, so that it will difficult for cryptanalyst to crack it. The proposed algorithm is divided into three Phases. In the first phase the plain text is Encrypted using Substitution technique called Caesar Cipher, In the Second phase the first encrypted text are applied for Second Substitution technique i.e. Hill cipher. In the Third phase the Transposition Technique i.e. Rail Fence technique is applied in the Second encrypted text and the cipher text is generated, At the Receiver side if the receiver uses appropriate key they will convert the cipher text into the plain text. Read More Read Less

Abstract In this paper, we present a new approach for semantic automatic annotation of medical images. Indeed, the proposed approach uses the bag of words model to represent the visual content of the medical image combined with text descriptors based on term frequency–inverse document frequency technique and reduced by latent semantic to extract the cooccurrence between text and visual terms. In a first phase,... In this paper, we present a new approach for semantic automatic annotation of medical images. Indeed, the proposed approach uses the bag of words model to represent the visual content of the medical image combined with text descriptors based on term frequency–inverse document frequency technique and reduced by latent semantic to extract the cooccurrence between text and visual terms. In a first phase, we are interested in indexing texts and extracting all relevant terms using a thesaurus containing medical subject headings and concepts. In a second phase, medical images are indexed while recovering areas of interest which are invariant to change in scale such as light and tilt. To annotate a new medical image, we use the bag of words model to recover the feature vector. Indeed, we use the vector space model to retrieve similar medical images from the training database. The computation of the relevance value of an image according to a query image is based on the cosine function. To evaluate the performance of our proposed approach, we present an experiment carried out on five types of radiological imaging. The results showed that our approach works efficiently, especially with more images taken from the radiology of the skull. Read More Read Less

Abstract In this paper, we present a new approach for semantic automatic annotation of medical images. Indeed, the proposed approach uses the bag of words model to represent the visual content of the medical image combined with text descriptors based on term frequency–inverse document frequency technique and reduced by latent semantic to extract the co-occurrence between text and visual terms. In... In this paper, we present a new approach for semantic automatic annotation of medical images. Indeed, the proposed approach uses the bag of words model to represent the visual content of the medical image combined with text descriptors based on term frequency–inverse document frequency technique and reduced by latent semantic to extract the co-occurrence between text and visual terms. In a first phase, we are interested in indexing texts and extracting all relevant terms using a thesaurus containing medical subject headings and concepts. In a second phase, medical images are indexed while recovering areas of interest which are invariant to change in scale such as light and tilt. To annotate a new medical image, we use the bag of words model to recover the feature vector. Indeed, we use the vector space model to retrieve similar medical images from the training database. The computation of the relevance value of an image according to a query image is based on the cosine function. To evaluate the performance of our proposed approach, we present an experiment carried out on five types of radiological imaging. The results showed that our approach works efficiently, especially with more images taken from the radiology of the skull. Read More Read Less

Abstract This paper proposes the new algorithm for encrypting the plain text into the cipher text. In this algorithm we combine different symmetric algorithm into one algorithm with little change in those algorithm. All the traditional algorithm are very week and cryptanalysis easily cracked the cipher text and convert that cipher text into the plain text. In this encryption algorithm, a... This paper proposes the new algorithm for encrypting the plain text into the cipher text. In this algorithm we combine different symmetric algorithm into one algorithm with little change in those algorithm. All the traditional algorithm are very week and cryptanalysis easily cracked the cipher text and convert that cipher text into the plain text. In this encryption algorithm, a new concept of substitution technique i.e. Caesar Cipher & Hill Cipher are combine along with the transposition technique i.e. Rail fence technique are used to make more secure and stronger algorithm. The plain texts are encrypted in such a way, so that it will difficult for cryptanalyst to crack it. The proposed algorithm is divided into three Phases. In the first phase the plain text is Encrypted using Substitution technique called Caesar Cipher, In the Second phase the first encrypted text are applied for Second Substitution technique i.e. Hill cipher. In the Third phase the Transposition Technique i.e. Rail Fence technique is applied in the Second encrypted text and the cipher text is generated, At the Receiver side if the receiver uses appropriate key they will convert the cipher text into the plain text. Read More Read Less

Abstract A critical challenge for privacy preserving is to enable internet users to exert some control over their personal data and meet the needs of websites to use personal data in reasonable business procedures. Privacy problem is becoming rather serious in an increasingly digital society especially for countries where necessary legal and regulation systems for personal data protection have not been... A critical challenge for privacy preserving is to enable internet users to exert some control over their personal data and meet the needs of websites to use personal data in reasonable business procedures. Privacy problem is becoming rather serious in an increasingly digital society especially for countries where necessary legal and regulation systems for personal data protection have not been well established. Thus we presented PSP (Privacy Service Provider) mechanism as an adjunct. Different from legislation and self-regulation which protect privacy by passively restricting the collection and usage of personal data, PSP protects privacy by actively providing personal data management and usage services. Internet users store their personal data in PSP and fulfill basic management like modification and access control. Instead of collecting personal data themselves, websites could get access to the personal data usage services provided by PSP including user authentication, advertising, and data analysis. Any processing on users’ privacy data will be recorded for feedback service. The design model of PSP was analyzed as well as the possible implementation of services provided to both internet users and websites. Read More Read Less