Search

Message security is most imperative in mobile ad hoc networks because of the applications in circumstances such as, disaster rescue, crisis management and military. Yet, due to the absence of a fixed framework and no centralized administration implementation of security is a testing prospect. Also certain attention must be paid to energy utilization constraints while designing a security mechanism for a mobile ad hoc network. This paper presents a method which considers aforementioned constraints and suggests a non-interactive light weight symmetric key cryptosystem using fast Fourier transform based hashing and generalised symbol table based polyalphabetic substitution. The key computation and secure hashing mechanism strengthen the proposed technique and is proved to be resilient enough against the non-legitimate users with less overhead to participating nodes. The analysis on the proposed technique is performed on various sets of data with different sized network to comprehend the level of security achieved. [ABSTRACT FROM AUTHOR]

As technology, processes scale up, and design complexities grow, system-on-chip integration continues to rise rapidly. According to these trends, increasing test data volume is one of the largest challenges in the testing industry. In this work, we present a new test data compression method based on a stored set called Lingering Component Reduction (LCR) Code. The test set contains a large number of don't- care that can be exploited to improve the experimental data compression. In this method, a reference pattern is organized, and an adaptability of input pattern with reference pattern is reduced. The Lingering Component estimation based on test pattern contains more don't-care conditions that can be actively reduced to improve the test data compression on the Intellectual Property cores. The simulation results show the performance of experimental data compression ratio and testing time parameters. From the analysis of simulation results, it is proved that the proposed LCR code enhances a compression ratio and reduce the test time follows the International Symposium on Circuits and Systems'89. The comparative results of several benchmark circuits in maximum cases and compared the outputs of the many previous works without a substantial load on the hardware. [ABSTRACT FROM AUTHOR]

Network on Chip (NoC) reduces the communication delay of System on Chip (SoC). The main limitation of NoC is power consumption and area overhead. Bufferless NoC reduces the area complexity and power consumption by eliminating buffers in the traditional routers. The bufferless NoC design should include live lock freeness since they use hot potato routing. This increases the complexity of bufferless NoC design. Among the available propositions to reduce this complexity, CHIPPER based bufferless NoC is considered as one of the best options. Live lock freeness is provided in CHIPPER through golden epoch and golden packet. All routers follow some synchronization method to identify a golden packet. Clock based method is intuitively followed for synchronization in CHIPPER based NoCs. It is shown in this work that the worst-case latency of packets is unbearably high when the above synchronization is followed. To alleviate this problem, broadcast bus NoC (BBus NoC) approach is proposed in this work. The proposed method decreases the worst-case latency of packets by increasing the golden epoch rate of CHIPPER. [ABSTRACT FROM AUTHOR]

Due to lack of a central bureaucrat in mobile ad hoc networks, the security of the network becomes serious issue. During malicious attacks, according to the motivation of intruder the severity of the threat varies. It may lead to loss of data, energy or throughput. This paper proposes a lightweight Intruder Node Detection and Isolation Action mechanism (INDIA) using feature extraction, feature optimization and classification techniques. The indirect and direct trust features are extracted from each node and the total trust feature is computed by combining them. The trust features are extracted from each node of MANET and these features are optimized using Particle Swarm Optimization (PSO) algorithm as feature optimization technique. These optimized feature sets are then classified using Neural Networks (NN) classifier which identifies the intruder node. The performance of the proposed methodology is studied in terms of various parameters such as success rate in packet delivery, delay in communication and the amount of energy consumption for identifying and isolating the intruder. [ABSTRACT FROM AUTHOR]

The article India: Intruder Node Detection and Isolation Action in Mobile Ad Hoc Networks Using Feature Optimization and Classification Approach, written by T. Kavitha, K. Geetha and R. Muthaiah, was originally published electronically on the publisher's internet portal (currently SpringerLink) on May 11, 2019 with open access. [ABSTRACT FROM AUTHOR]