Mobile Ad-hoc Networks (MANETs) is an infrastructure-less, self-motivated, arbitrary, self-configuring, rapidly changing, multi-hop network that is self-possessing wireless bandwidth-conscious links without centrally managed router support. In such a network, wireless media is easy to snoop. It is firm to the surety to access any node, easier to insertion of bad elements or attackers for malicious activities in the network. Therefore, security issues become one of the significant considerations for such kind of networks. The deployment of an effective intrusion detection system is important in order to provide protection against various attacks. In this paper, a Digitally Signed Secure Acknowledgement Method (DSSAM) with the use of the RSA digital signature has been proposed and simulated. Three different parameters are considered viz. secure acknowledgment, node authentication and packet authentication for study. This article observes the DSSAM performance and compares it with two existing standard methods, namely, Watchdog and 2-ACK under standard Dynamic Source Routing (DSR) routing environment. In the end, it is noticed that the rate of detection of malicious behaviour is better in the case of the proposed method. However, associated overheads are high. A trade-off between performance and overhead has been considered.
Sandalwood (Santalum album L.) is a highly valued aromatic tropical tree. It is known for its high quality heartwood and oil. In this study, 39 genic and genomic SSR markers were used to analyze the genetic diversity and population structure of 177 S. album accessions from 14 populations of three states in India. High genetic diversity was observed in terms of number of alleles 127, expected heterozygosity (He) ranged from 0.63-0.87 and the average PIC was 0.85. The selected population had relatively moderate genetic diversity with Shannon’s information index (I) >1.0 followed by 0.02 (mean coefficient of genetic differentiation) FST. AMOVA revealed that 92% of the variation observed within accessions. Based on cluster and Structure result, individuals were not clustered as per their geographical origin. Furthermore the clusters were clearly distinguished by principal component analysis and the result revealed that PC1 reflected the moderate contribution in genetic variation (6%) followed by PC2 (5.5%). From this study, moderate genetic diversity and genetic differentiation was observed in S. album populations. The genetic results are of great significance for scientifically selection of superior genotypes and germplasm conservation to promote the tree improvement of S. album populations.
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