RFID (Radio Frequency IDentification) is recently becoming popular, and plays an important role in ubiquitous society due to its deploying convenience and economic efficiency. Furthermore, RFID nowadays comes into the spotlight as a technology to substitute the barcode system. RFID technology, on the other hand, is jeopardized from various attacks and problems preventing widespread RFID deployment. We focus ourselves on designing a secure and efficient protocol for authentication between tag and reader in a RFID system. There must be a trade-off between scalability and untraceability. However, we try to keep the constant computational time in back-end server regardless of the number of tags when designing an untraceable protocol.
Abstract-This paper presents a secure alternate path routing scheme in the field of wireless sensor networks. Our alternate path scheme provides a non-greedy route establishment approach for data dissemination among spatially distributed sensor nodes in wireless sensor networks. It proposes the new algorithm for the purpose of path computation which starts from the initialization of the network. The algorithm has been designed to improve routing security in wireless sensor network. The algorithm uses alternative routing paths for each data transmission call to overcome the sensor network attack. To enhance network reliability, the algorithm allows sensory data to be sent on defined routing paths using various intermediate transmission nodes.Index Terms-Alternate path, intrusion avoidance, sensor network, shortest path.
Electronic mails (emails) have been widely adapted by organizations and individuals as efficient communication means. Despite the pervasiveness of alternate means like social networks, mobile SMS, electronic messages, etc. email users are continuously growing. The higher user growth attracts more spammers who send unsolicited emails to anonymous users. These spam emails may contain malware, misleading information, phishing links, etc. that can imperil the privacy of benign users. The paper proposes a self-adaptive hybrid algorithm of big bang–big crunch (BB–BC) with ant colony optimization (ACO) for email spam detection. The BB–BC algorithm is based on the physics-inspired evolution theory of the universe, and the collective interaction behavior of ants is the inspiration for the ACO algorithm. Here, the ant miner plus (AMP) variant of the ACO algorithm is adapted, a data mining variant efficient for the classification. The proposed hybrid algorithm (HB3C-AMP) adapts the attributes of B3C (BB–BC) for local exploitation and AMP for global exploration. It evaluates the center of mass along with the consideration of pheromone value evaluated by the best ants to detect email spam efficiently. The experiments for the proposed HB3C-AMP algorithm are conducted with the Ling Spam and CSDMC2010 datasets. Different experiments are conducted to determine the significance of the pre-processing modules, iterations, and population size on the proposed algorithm. The results are also evaluated for the AM (ant miner), AM2 (ant miner2), AM3 (ant miner3), and AMP algorithms. The performance comparison demonstrates that the proposed HB3C-AMP algorithm is superior to the other techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.