93 research outputs found
Secure Authentication Scheme for the Internet of Things
Get PDFThe Internet of Things (IoT) is based on an extensive and wide range of interconnected heterogeneous units’ general applications, including healthcare systems, environmental monitoring, household automation, and business automation. This work presents an approach variant of the elliptic curve; The cryptography approach is implemented to provide more security with fewer key sizes and with protocol enhancements to perform an efficient authentication process. In the process of authenticating the device, we use the Electronic Product Code (EPC) as a key to authentication, where the overhead of giving input is removed. Mention the methods followed to meet all your performance metrics (minimum execution time; low energy consumption, and qualitative comparison). This proposed scheme (i.e., the energy consumption of 0.27 mJ, the reduction in end delay of 0.058 sec., the reduction in the computation cost, and being more resistant to attack) is compared with other recent authentication protocols. The proposed system creates a secure network to lessen the damage if there is an attack in the IoT environment. The performance evaluation results indicate that the proposed scheme has a lower energy consumption and a more resistant authentication scheme, and we observe a trade-off between security and the lightweight factor
Towards a bound for the compression of the LZW algorithm
Get PDFThe LZW algorithm is a well known efficient adaptive compression algorithm. It is based on constructing a dictionary containing character strings from the text. A number of researchers have attempted to add variations to the original algorithm to achieve higher compression values. In this thesis we attempt to find a bound for the LZW approach. That is, we build a dictionary which gives maximum compression and satisfies prefix property of LZW algorithm.
In order to build such an optimum dictionary, the dynamic programming technique is applied. The final dictionary selected consists of entries which give maximum overall compression and also satisfy the prefix property of LZW algorithm. Numerous experiments were performed using different text representation to obtain high compression values. The compression values obtained are substantially higher than the ones obtained by LZW approach. This indicates that significantly higher compression can be obtained with improvements in LZW approach, which can direct our future efforts
Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators
Get PDFThe simultaneous prediction of average and actual values of study variable in a linear regression model is considered in this paper. Generally, either of the ordinary least squares estimator or Stein-rule estimators are employed for the construction of predictors for the simultaneous prediction. A linear combination of ordinary least squares and Stein-rule predictors are utilized in this paper to construct an improved predictors. Their efficiency properties are derived using the small disturbance asymptotic theory and dominance conditions for the superiority of predictors over each other are analyzed
Control chart for mean and standard deviation for observation following SAR (1,1) process
No full textControl charts are designed to detect assignable causes of variation that may occur in production processes. When traditional control charts are used there is the implicit assumption that observations are independently and identically distributed over time. It is also assumed that the probability distribution representing the observations has a known functional form and is constant over time. However, in practice, observations generated by continuous as well as discrete production processes are often serially correlated. Autocorrelation not only violates the independence assumption of traditional control charts but also can affect the performance of control charts adversely. For monitoring in-control state of such processes, the traditional control charts fail and often lead to false out-of-control alarms.This point has received considerable attention in the past few decades. In this paper we developed control charts for the sample mean and sample standard deviation, when the observations are taken over a grid on a two dimensional surface. It has been assumed that the observations follow Spatial Autoregressive (SAR) process
Rhizosphere Microbial Communities: Isolation, Characterization, and Value Addition for Substrate Development
No full textApplication of discriminative models for interactive query refinement in video retrieval
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