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International Conference on Communication systems and Networks

作者： V. Sreejith Prateek Khandelwal K. R. Anupama Lucy J. Gudino Dept. of Computer Science and Information Systems BITS-Pilani K K Birla Dept. of Electrical Electronics and Instrumentation Engineering BITS-Pilani K K Birla

ISBN: (纸本)9781467396233

Scenarios where the sensor nodes themselves are mobile, introduces a new dimension of problems in sensor network. This paper presents a mobility vector based neighbour selection for a mixed deployment of mobile and static Wireless Sensor Network. The proposed approach uses the velocity of the mobile node and the residual energy of the static node to select a neighbour. Multichannel based MAC protocol is adopted for an interference free communication. The protocol was simulated and evaluated against MA-MAC protocol. Simulation results indicate that the proposed approach performs better. Proof of Concept of proposed approach was done using Berkley motes.

关键词： Mobility Vector Mobility MAC Mobile WSN Test-bed

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Securing vehicular ad-hoc networks from data falsification attacks

Securing vehicular ad-hoc networks from data falsification a...

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IEEE Region 10 International Conference TENCON

作者： Danda B. Rawat Bhed Bahadur Bista Gongjun Yan Dept. of Electrical Engineering & Computer Science Howard University Washington DC USA Faculty of Software & Information Science Iwate Prefectural University Iwate Ken Japan Department of Information/Computer Science University of Southern Indiana Evansville IN USA

ISBN: (纸本)9781509025985

Data falsification attack is one of the main security issues in vehicular ad-hoc networks (VANETs) where vehicles rely on information received from other peers/vehicles. In this paper, we propose a method to detect data falsification attack using hash chains for enhancing the network performance by adapting contention window size to forward accurate information to the neighboring vehicles in a timely manner (to improve throughput while reducing end-to-end delay). Performance of the proposed approach is evaluated using numerical results obtained from simulations. We found that the proposed adaptive approach prevents VANET from data falsification attacks and provides higher throughput with lower delay.

关键词： Vehicular ad hoc networks Delays Throughput Relays Adaptation models Cryptography

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Extraction of human action elements with transition network of partial time series data modeled by Hidden Markov Model

Extraction of human action elements with transition network ...

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Annual Conference of Industrial Electronics Society

作者： Kae Doki Akihiro Torii Suguru Mototani Yuki Funabora Shinji Doki Kohjiro Hashimoto Dept. of Electrical Engineering Aichi Institute of Technology Aichi Japan Dept. of Electrical Engineering and Computer Science Nagoya University Aichi Japan Dept. of Control and Information Systems Engineering National Institute of Technology Kumamoto Japan

The authors have researched on a method of human action modeling to realize systems such as to support human human operations or watch persons to prevent various kinds of accidents. In order to recognize or support various kinds of human actions, a certain human action model is necessary in these systems. Therefore, we have proposed a modeling method of human actions, which is extracted statistically from enormous data acquired from various kinds of sensors by long-term observation of human actions and situations around persons. However, human action elements composing a model should have been extracted heuristically by a designer. In this paper, an extraction method of human action elements is proposed in order to extract frequent human action elements automatically from acquired data. In the proposed method, a series of acquired time series data is divided into short partial ones, which are modeled by Hidden Markov Models(HMM). Then, the transition network of generated HMMs is constructed based on the likelihood between the original data and each HMM. In the obtained network, a transition sequence with the only one edge is regarded as a frequent human action element. Extraction results with artificial and actual human action data are shown in this paper in order to verify the usefulness of the proposed method.

关键词： Hidden Markov models Time series analysis Data models Data mining Robot sensing systems

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Enhancement of PRoPHET routing in Delay Tolerant Networks from an energy prospective

Enhancement of PRoPHET routing in Delay Tolerant Networks fr...

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IEEE Region 10 International Conference TENCON

作者： Bhed Bahadur Bista Danda B. Rawat Faculty of Software and Information Science Iwate Prefectural University Takizawa City Iwate Japan Dept. of Electrical Engineering & Computer Science Howard University Washington DC USA

ISBN: (纸本)9781509025985

In a Delay Tolerant Network (DTN), nodes are intermittently connected. In order to deliver message from one node to another, message is copied and forwarded to another node when the connection between the nodes is established. The node that receives the message stores it and forwards the copy of it to another node it encounters. The process is repeated until the destination node is encountered or message life time expires. PRoPHET (Probabilistic Routing Protocol Using History of Encounters and Transitivity) is one of the major DTN routing protocols. However, PRoPHET does not consider energy consumption of nodes. Energy consumption of mobile wireless devices has been a major issue recently as the devices are ubiquitously used. In this paper, we propose an Enhanced PRoPHET routing protocol that considers energy of nodes. We extensively simulated our proposal and have shown that our proposed protocol performs better than the original PRoPHET routing protocol in terms of energy consumption, message delivery probability and overhead ratio.

关键词： Energy consumption Routing protocols Routing Proposals Mathematical model Delays

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Neural Incremental Attribute Learning Based on Principal Component Analysis

Neural Incremental Attribute Learning Based on Principal Com...

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2016 IEEE International Conference on Big Data Analysis

作者： Ting Wang Wei Zhou Xiaoyan Zhu Fangzhou Liu Sheng-Uei Guan State Key Laboratory of Intelligent Technology and Systems Tsinghua University Wuxi Research Institute of Applied Technologies Tsinghua University Dept. of Computer Science University of Liverpool Dept. of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University

ISBN: (纸本)9781467395922

Feature Extraction(FE) based on Principal Component Analysis(PCA) can effectively improve classification results by reducing the interference among features. However, such a good method has not been employed in previous studies of Incremental Attribute Learning(IAL), a novel machine learning strategy, where features are gradually trained one by one in order to remove interference among features and improve classification results. This study proposed a preprocessing for neural IAL algorithm based on feature extraction with PCA. Experimental results show that this approach is not only very efficient, but also applicable for pattern classification performance improvement.

关键词： pattern Classification Feature Extraction Principal Component Analysis Neural Networks Incremental Attribute Learning

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An Intraoperative Glucose Control Benchmark for Formal Verification

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IFAC-PapersOnLine 2015年第27期48卷 211-217页

作者： Chen, Sanjian O'Kelly, Matthew Weimer, James Sokolsky, Oleg Lee, Insup Dept. of Computer and Information Science University of Pennsylvania Philadelphia United States Dept. of Electrical and Systems Engineering University of Pennsylvania Philadelphia United States

Diabetes associated complications are affecting an increasingly large population of hospitalized patients. Since glucose physiology is significantly impacted by patient-specific parameters, it is critical to verify that a clinical glucose control protocol is safe across a wide patient population. A safe protocol should not drive the glucose level into dangerous low (hypoglycemia) or high (hyperglycemia) ranges. Verification of glucose controllers is challenging due to the high-dimensional, non-linear glucose physiological models which contain both unobservable states and unmeasurable patient-specific parameters. This paper presents a hybrid system model of a closed-loop physiological system that includes an existing FDA-accepted high-fidelity physiological model tailored to intraoperative settings and a validated improvement to a clinical glucose control protocol for diabetic cardiac surgery patients. We propose the closed-loop model as a physiological system benchmark for verification and present our initial results on verifying the system using the SMT-based hybrid system verification tool dReach. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Physiological models Cardiovascular surgery Closed loop control systems Controllers Formal verification Glucose Hybrid systems Medical applications Physiology Closed loop controllers Glucose control Glucose control protocols Hybrid system models Patient specific parameters Physiological systems Safety analysis System verifications

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Reusing software Libraries Using Semantic Graphs

Reusing Software Libraries Using Semantic Graphs

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IEEE International Conference on information Reuse and Integration (IRI)

作者： Awny Alnusair Majdi Rawashdeh Mohammed F. Alhamid M. Anwar Hossain Ghulam Muhammad Dept. of Informatics and Computer Science Indiana University Kokomo Kokomo IN USA Dept. of Management Information System Princess Sumaya University for Technology Amman Jordan Dept. of Software Engineering King Saud University Riyadh Saudi Arabia Dept. of Computer Engineering King Saud University Riyadh Saudi Arabia

ISBN: (纸本)9781509032082

This paper describes a two-part system that helps developers understand how to search and reuse complex software libraries. First, we present an approach for automatic retrieval of software components in reuse libraries. Second, the system implements a source-code recommendation approach which automatically constructs and delivers relevant code examples that demonstrate how the retrieved components can be used to solve particular programming problems. In arriving at such solutions, we utilize ontological modeling to provide semantic representation of the conceptual source-code knowledge in software libraries. This representation is the basis for computing entailments and enabling semantic reasoning. Our experiments show evidence that combining ontology formalisms with context-sensitive techniques enhance precision when retrieving and recommending reusable code even without mining a carefully crafted corpus of similar code.

关键词： Ontologies Semantics software software libraries Knowledge based systems Java

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An Analysis of Onion-Based Anonymous Routing for Delay Tolerant Networks

An Analysis of Onion-Based Anonymous Routing for Delay Toler...

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International Conference on Distributed Computing systems

作者： Kazuya Sakai Min-Te Sun Wei-Shinn Ku Jie Wu Faisal S. Alanazi Dept. of Info. and Commun. Systems Tokyo Metropolitan University Hino Tokyo Japan Department of Computer Science and Information Engineering National Central University Taoyuan 320 Taiwan Department of Computer Science and Software Engineering Auburn University Auburn Alabama Department of Computer and Information Sciences Temple University Philadelphia PA Department of Electrical and Computer Engineering The Ohio State University Columbus Ohio

Delay tolerant network (DTN) routing provides a communication primitive in intermittently disconnected networks, such as battlefield communications and human-contact networks. In these applications, the anonymity preserving mechanism, which hides the identities of communicating parties, plays an important role as a defense against cyber and physical attacks. While anonymous routing protocols for DTNs have been proposed in the past, to the best of our knowledge, there is no work that emphasizes the theoretical aspects. In this paper, we first design an abstract of anonymous routing protocols for DTNs and augment the existing solution with multi-copy message forwarding. Then, we construct simplified mathematical models, which can be used to understand the fundamental performance and security guarantees of onion-based anonymous routing in DTNs. The numerical and simulation results using randomly generated contact graphs and the real traces demonstrate that our models provide very close approximations to the performance of the anonymous DTN routing protocol.

关键词： Routing Routing protocols Mathematical model Encryption Simulation

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Personalized online search for fashion products

Personalized online search for fashion products

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2015 systems and information engineering Design Symposium, SIEDS 2015

作者： Gray, Chester Beattie, Meghan Belay, Helena Hill, Sarah Lerch, Nicolette Dept. of Systems and Information Engineering and Dept. of Computer Science University of Virginia United States

ISBN: (纸本)9781479918324

In this paper we develop a methodology for personalizing online search for fashion products. Most search functions on fashion retail sites currently rely on objective data, such as colors or brands, to filter their products. Adding a subjective component of fashion style would allow for a more personalized and relevant search experience for the end user. The proposed methodology is based upon a topic modeling technique - latent Dirichlet allocation - which has been successfully used for classifying unstructured text data. This technique is used to quantitatively define distinct fashion styles based upon text obtained from clothing product information available through APIs with affiliate networks. Using the fashion style definitions, individual clothing brands and looks are then classified. We compare the performance of the proposed methodology with Genostyle's proprietary methodology (Genostyle is a fashion styling analytics company). An experiment was executed to display custom recommendations made using each methodology to participants. The team measured performance by comparing median 5-point Likert scale responses to the recommended looks. Results indicate the latent Dirichlet allocation methodology has higher median Likert responses for the top recommended style. However, the Likert scores for Genostyle's methodology, the latent Dirichlet allocation methodology, and the control group are statistically indistinguishable (p=0.05). Given these results, further experimentation with more diverse participation or presentation of looks may give insights into how to better fashion style predictions that more closely match consumers' preferences. © 2015 IEEE.

关键词： Statistics

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Analysis and Detection of Anomalous Network Traffic

Analysis and Detection of Anomalous Network Traffic

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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Hae-Duck J. Jeong Hyeonggeun Kim WonHwi Ahn Jung-Hee Oh Dawoon Lee Sang-Kug Ye Jongsuk R. Lee Dept. of Computer Software Korean Bible University Seoul South Korea Division of LBS Solution SK MNS Seoul South Korea Dept. of Computational Science & Engineering Korea Institutue of Science and Technology Information Daejeon South Korea

ISBN: (纸本)9781509009855

Rapid development of information and communications networks and the widespread distribution of smartphones have contributed to the steady increase in Internet utilization. This increase in Internet consumption has resulted in the creation of various services including web services, SNS (Social Networking Services), Internet banking, and remote processing systems, enhancing the quality of life globally. However, serious information security problems have surfaced alongside these services, leading to Internet privacy invasions and network attacks. This paper presents a process to detect anomalous traffic using selfsimilarity analysis in the ATMSim environment as a research method to resolve these problems. In order to measure anomalous traffic, normal traffic for each attack including ARP spoofing and DDoS was measured for 48 hours. Hadoop is employed to process the massive traffic data collected and MapReduce was used after storing the data in HDFS. The detection system ATMSim, which is a new platform operating on Hadoop, is used to identify anomalous traffic, and a comparative analysis of the normal and anomalous traffic was performed through a self-similarity analysis. The collected traffic was divided into four categories according to the attack method: normal LAN traffic, DDoS attack, ARP spoofing, and DDoS and ARP spoofing attacks. The anomalous traffic detection system ATMSim was used to simulate for each scenario and distinguish normal and anomalous traffic in order to determine whether real attacks can be effectively identified. Graphic and quantitative analyses based on the self-similarity estimation for the four different traffic types showed that, unlike normal traffic such as the LAN traffic, the graphic analysis revealed a burstiness phenomenon when anomalous traffic occurred and the self-similarity estimation values were also high.

关键词： computer crime Estimation Local area networks Internet Stochastic processes Real-time systems Analytical models

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