http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Loop-based RSA Key Generation Algorithm using String Identity
Norhidayah Muhammad,Jasni Mohamad Zain,Md Yazid Mohd Saman 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper will propose i-RSA algorithm, this algorithm is focus on key generation algorithm. Enhancement of this algorithm is user identity can be used as a public key such as email address. Previous algorithm was successful used email identity as a public key, but not all type of email can used as a public key. So we propose i-RSA algorithm that can produces 66.6% compared to previous algorithm (46.67%) email can be a string public key. The differences between i-RSA and previous algorithm are looping process in key generation, to get new value of p and q parameter, looping process will stop when value of k is equal to 1, and the email can be a public key. RSA algorithm and CRC 32 hash function will be explain in preliminaries section. Detail explanations of i-RSA algorithm in propose algorithm section. In future, i-RSA algorithm can be improved, so that 100% of email can be a public key.
Badshah, Gran,Liew, Siau-Chuin,Zain, Jasni Mohamad,Ali, Mushtaq Korea Information Processing Society 2015 Journal of information processing systems Vol.11 No.4
Region of interest (ROI) is the most informative part of a medical image and mostly has been used as a major part of watermark. Various shapes ROIs selection have been reported in region-based watermarking techniques. In region-based watermarking schemes an image region of non-interest (RONI) is the second important part of the image and is used mostly for watermark encapsulation. In online healthcare systems the ROI wrong selection by missing some important portions of the image to be part of ROI can create problem at the destination. This paper discusses the complete medical image availability in original at destination using the whole image as a watermark for authentication, tamper localization and lossless recovery (WITALLOR). The WITALLOR watermarking scheme ensures the complete image security without of ROI selection at the source point as compared to the other region-based watermarking techniques. The complete image is compressed using the Lempel-Ziv-Welch (LZW) lossless compression technique to get the watermark in reduced number of bits. Bits reduction occurs to a number that can be completely encapsulated into image. The watermark is randomly encapsulated at the least significant bits (LSBs) of the image without caring of the ROI and RONI to keep the image perceptual degradation negligible. After communication, the watermark is retrieved, decompressed and used for authentication of the whole image, tamper detection, localization and lossless recovery. WITALLOR scheme is capable of any number of tampers detection and recovery at any part of the image. The complete authentic image gives the opportunity to conduct an image based analysis of medical problem without restriction to a fixed ROI.
( Gran Badshah ),( Siau Chuin Liew ),( Jasni Mohamad Zain ),( Mushtaq Ali ) 한국정보처리학회 2015 Journal of information processing systems Vol.11 No.4
Region of interest (ROI) is the most informative part of a medical image and mostly has been used as a major part of watermark. Various shapes ROIs selection have been reported in region-based watermarking techniques. In region-based watermarking schemes an image region of non-interest (RONI) is the second important part of the image and is used mostly for watermark encapsulation. In online healthcare systems the ROI wrong selection by missing some important portions of the image to be part of ROI can create problem at the destination. This paper discusses the complete medical image availability in original at destination using the whole image as a watermark for authentication, tamper localization and lossless recovery (WITALLOR). The WITALLOR watermarking scheme ensures the complete image security without of ROI selection at the source point as compared to the other region-based watermarking techniques. The complete image is compressed using the Lempel-Ziv-Welch (LZW) lossless compression technique to get the watermark in reduced number of bits. Bits reduction occurs to a number that can be completely encapsulated into image. The watermark is randomly encapsulated at the least significant bits (LSBs) of the image without caring of the ROI and RONI to keep the image perceptual degradation negligible. After communication, the watermark is retrieved, decompressed and used for authentication of the whole image, tamper detection, localization and lossless recovery. WITALLOR scheme is capable of any number of tampers detection and recovery at any part of the image. The complete authentic image gives the opportunity to conduct an image based analysis of medical problem without restriction to a fixed ROI.