Conference
EMC/HumanCom
About: EMC/HumanCom is an academic conference. The conference publishes majorly in the area(s): Wireless sensor network & Cloud computing. Over the lifetime, 124 publications have been published by the conference receiving 370 citations.
Topics: Wireless sensor network, Cloud computing, The Internet, Wireless network, Cyber-physical system
Papers
1 Jan 2014
TL;DR: A lightweight intrusion detection model based on analysis of node’s consumed in 6LowPAN is proposed and results show the proposed intrusion detection system provides the method to accurately and effectively recognize malicious attacks.
Abstract: 6LoWPAN is one of Internet of Things standard, which allows IPv6 over the low-rate wireless personal area networks. All sensor nodes have their own IPv6 address to connect to Internet. Therefore, the challenge of implementing secure communication in the Internet of Things must be addressed. There are various attack in 6LoWPAN, such as Denial-of-service, wormhole and selective forwarding attack methods. And the Dos attack method is one of the major attacks in WSN and 6LoWPAN. The sensor node’s energy will be exhausted by these attacks due to the battery power limitation. For this reason, security has become more important in 6LoWPAN. In this paper, we proposed a lightweight intrusion detection model based on analysis of node’s consumed in 6LowPAN. The 6LoWPAN energy consumption models for mesh-under and route-over routing schemes are also concerned in this paper. The sensor nodes with irregular energy consumptions are identified as malicious attackers. Our simulation results show the proposed intrusion detection system provides the method to accurately and effectively recognize malicious attacks.
80 citations
1 Jan 2014
TL;DR: An energy-aware routing protocol for wireless sensor networks based on the ladder diffusion algorithm and cat swarm optimization algorithm that can avoid the generation of circle routes and provide the backup routes.
Abstract: In this paper, we propose an energy-aware routing protocol for wireless sensor networks. Our design is based on the ladder diffusion algorithm and cat swarm optimization algorithm. With the properties of ladder diffusion algorithm, our protocol can avoid the generation of circle routes and provide the backup routes. Besides, integrating cat swarm optimization can effectively provide better efficiency than previous works. Experimental results demonstrate that our design reduces the execution time for finding the routing path by 57.88 % compared with a very recent research named LD.
20 citations
Proceedings Article•
1 Jan 2013TL;DR: In this paper, a Cognitive Diffusion Model is proposed to investigate the diffusion and transition of students' cognitive processes in different learning periods (i.e. pre-school, after-schooling, crossing the chasm, and high cognitive processes).
Abstract: This study proposed Cognitive Diffusion Model to investigate the diffusion and transition of students’ cognitive processes in different learning periods (i.e. pre-schooling, after-schooling, crossing the chasm, and high cognitive processes). In order to enable majority of students crossing the chasm, i.e. bridge lower and higher levels of cognitive processes such as from understanding the knowledge that students learn in class to applying it to solve daily-life problems, this study proposes User-Oriented Context-to-Text Recognition for Learning (U-CTRL). Students participating at learning activities can capture learning objects and then recognize them into text by using U-CTRL. Finally, this study presents a case that shows how to facilitate students’ cognition in English through applying the knowledge to solve daily-life problems with U-CTRL and how to evaluate the case.
13 citations
1 Jan 2014
TL;DR: A heuristic method for the shortest path search using SNS user graphs that can be used to analyze social phenomena and trends in many fields and shows that the computation time of betweenness centrality and closeness centrality is faster than the traditional method.
Abstract: Recently, Social Network Service (SNS) users are rapidly increasing, and Social Network Analysis (SNA) methods are used to analyze the structure of user relationship or messages in many fields. However, the SNA methods based on the shortest distance among nodes is time-consuming in measuring computation time. In order to solve this problem, we present a heuristic method for the shortest path search using SNS user graphs. Our proposed method consists of three steps. First, it sets a start node and a goal node in the Social Network (SN), which is represented by trees. Second, the goal node sets a temporary node starting from a skewed tree, if there is a goal node on a leaf node of the skewed tree. Finally, the betweenness and closeness centralities are computed with the heuristic shortest path search. For verification of the proposed method, we demonstrate an experimental analysis of betweenness centrality and closeness centrality, with 164,910 real data in an SNS. In the experimental results, the method shows that the computation time of betweenness centrality and closeness centrality is faster than the traditional method. This heuristic method can be used to analyze social phenomena and trends in many fields.
8 citations
1 Jan 2014
TL;DR: This work focuses on forecasting the threat value of network combines historical data of safe behavior with the level of threat, and establishes unified information database based on multi-source log data mining techniques.
Abstract: In order to solve some problems associated with network security situation forecast, this study proposed a new forecast method based on fuzzy Markov chain. In this work, we focus on forecasting the threat value of network combines historical data of safe behavior with the level of threat. We establish unified information database based on multi-source log data mining techniques. By using text categorization and the threat level division, it is capable of calculating the threat value of a period of time. Due to the discrete nature of the threat values of each time and its unfollow-up effect property, considering the fuzziness of safety state, we use fuzzy Markov chain to predict the threat value in next period of time.
7 citations
Performance Metrics
| Year | Papers |
|---|---|
| 2014 | 109 |
| 2013 | 15 |