CRFeb 1, 2022
A Novel Pair and Matching Algorithm for Embedding Secret Messages in ImagesP N Priya, R Ranjitha, Yashaswini Naik et al.
Steganography has proven to be one of the practical way of securing data. It is a new kind of secret communication used to hide secret data inside other innocent digital mediums. There are various algorithms for pair and matching technique. One such method uses two bits of secret message to be matched with cover image bits. Algorithm had used only 2 pairs to be mapped. Thus limiting the matching to 6 bits per pixel. Here in our proposed algorithm we are matching 3 bits at a time. Thus in the best case scenario we can match up to 9 bits per pixel. It is also a good foundation to build more secure communication in today s data centric world.
CRFeb 1, 2022
A Novel Algorithm In Steganography Using Weighted Matching TechniqueP N Priya, R Ranjitha, Yashaswini Naik et al.
In recent years, the security related to data over the internet has become a major issue. Different techniques are used to secure the information, one such technique is steganography. In steganography, one can have a cover media as an image, video or audio. Here we are proposing a method of weighted matching technique in which we examine higher bits of lower nibble of a byte and find the highest occurrence bit. The PSNR values of both the algorithms are tabulated for evaluation purpose.
CRFeb 1, 2022
Securing the data in cloud using Algebra Homomorphic Encryption scheme based on updated Elgamal(AHEE)Fahina, Shwetha U, Poorna et al.
Cloud computing is the broad and diverse phenomenon. Users are allowed to store huge amount of data on cloud storage for future use. Most of the cloud service providers store data in plain text format or in secured manner but client will not be known the method in which it is stored. Homomorphic encryption is the encryption which allows the operation on cipher text thus generating an encrypted result which when decrypted, matches the result of operations performed on the plaintext. This is sometimes a desirable feature in modern communication system architectures. There are several homomorphic algorithms, one of them is AHEE. User need to use their own encryption algorithm to secure their data if required. The data needs to be decrypted whenever it is to be processed. In this paper, we have focused on providing security to the client using AHEE algorithm at the client side, for any data to be stored in the cloud.
CRJan 31, 2022
An Overview of Various Biometric Approaches: ECG One of its TraitKavyashree U, K N Deeksha, Suma Ballal et al.
A Bio-metrics system is actually a pattern recognition system that utilizes various patterns like iris, retina and biological traits like fingerprint, voice recognition, facial geometry and hand geometry. What makes Bio-metrics really attractive is that the various security codes like passwords and ID cards can be interchanged, stolen or duplicated. To enhance the security and reliability of the system, physiological traits can be used. This paper gives the overview of key bio-metric technologies and basic techniques involved and their drawbacks. Then the paper illustrates the working of ECG and the various opportunities for ECG are also mentioned.
ROJan 7, 2022
An Automated Robotic Arm: A Machine Learning ApproachKrishnaraj Rao N S, Avinash N J, Rama Moorthy H et al.
The term robot generally refers to a machine that looks and works in a way similar to a human. The modern industry is rapidly shifting from manual control of systems to automation, in order to increase productivity and to deliver quality products. Computer-based systems, though feasible for improving quality and productivity, are inflexible to work with, and the cost of such systems is significantly high. This led to the swift adoption of automated systems to perform industrial tasks. One such task of industrial significance is of picking and placing objects from one place to another. The implementation of automation in pick and place tasks helps to improve efficiency of system and also the performance. In this paper, we propose to demonstrate the designing and working of an automated robotic arm with the Machine Learning approach. The work uses Machine Learning approach for object identification detection and traversal, which is adopted with Tensor flow package for better and accurate results.