Institution
North Carolina State University
Education•Raleigh, North Carolina, United States•
About: North Carolina State University is a education organization based out in Raleigh, North Carolina, United States. It is known for research contribution in the topics: Population & Thin film. The organization has 44161 authors who have published 101744 publications receiving 3456774 citations. The organization is also known as: NCSU & North Carolina State University at Raleigh.
Topics: Population, Thin film, Silicon, Gene, Poison control
Papers published on a yearly basis
Papers
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09 May 2004TL;DR: This paper presents an interleaved hop-by-hop authentication scheme that guarantees that the base station will detect any injected false data packets when no more than a certain number t nodes are compromised.
Abstract: Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects false data into the network with the goal of deceiving the base station or depleting the resources of the relaying nodes. Standard authentication mechanisms cannot prevent this attack if the adversary has compromised one or a small number of sensor nodes. In this paper, we present an interleaved hop-by-hop authentication scheme that guarantees that the base station will detect any injected false data packets when no more than a certain number t nodes are compromised. Further, our scheme provides an upper bound B for the number of hops that a false data packet could be forwarded before it is detected and dropped, given that there are up to t colluding compromised nodes. We show that in the worst case B is O(t/sup 2/). Through performance analysis, we show that our scheme is efficient with respect to the security it provides, and it also allows a tradeoff between security and performance.
628 citations
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14 May 2001TL;DR: This work proposes to use several information-theoretic measures, namely, entropy, conditional entropy, relative conditional entropy; information gain, information gain; and information cost for anomaly detection for protection mechanisms against novel attacks.
Abstract: Anomaly detection is an essential component of protection mechanisms against novel attacks. We propose to use several information-theoretic measures, namely, entropy, conditional entropy, relative conditional entropy, information gain, and information cost for anomaly detection. These measures can be used to describe the characteristics of an audit data set, suggest the appropriate anomaly detection model(s) to be built, and explain the performance of the model(s). We use case studies on Unix system call data, BSM data, and network tcpdump data to illustrate the utilities of these measures.
627 citations
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TL;DR: This literature review began with a narrow search for quantitative measures of the output of IDR that could contribute to indicators, but the authors expanded the scope of the review as it became clear that differing definitions, assessment tools, evaluation processes, and measures all shed light on different aspects ofIDR.
627 citations
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TL;DR: This paper presents a summary of various Gen-IV reactor concepts, with emphasis on the structural materials issues depending on the specific application areas, and demonstrates that novel alloy and microstructural design approaches coupled with new materials processing and fabrication techniques may mitigate the challenges.
625 citations
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TL;DR: In this article, the authors examined the effects of organic and synthetic soil fertility amendments on soil microbial communities and soil physical and chemical properties at three organic and three conventional vegetable farms in Virginia and Maryland in 1996 and 1997.
625 citations
Authors
Showing all 44525 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Cui | 220 | 1015 | 199725 |
Jing Wang | 184 | 4046 | 202769 |
Rodney S. Ruoff | 164 | 666 | 194902 |
Carlos Bustamante | 161 | 770 | 106053 |
David W. Johnson | 160 | 2714 | 140778 |
Joseph Wang | 158 | 1282 | 98799 |
David Tilman | 158 | 340 | 149473 |
Jay Hauser | 155 | 2145 | 132683 |
James M. Tour | 143 | 859 | 91364 |
Joseph T. Hupp | 141 | 731 | 82647 |
Bin Liu | 138 | 2181 | 87085 |
Rudolph E. Tanzi | 135 | 638 | 85376 |
Richard C. Boucher | 129 | 490 | 54509 |
David B. Allison | 129 | 836 | 69697 |
Robert W. Heath | 128 | 1049 | 73171 |