scholarly journals Mining known attack patterns from security-related events

2015 ◽  
Vol 1 ◽  
pp. e25 ◽  
Author(s):  
Nicandro Scarabeo ◽  
Benjamin C.M. Fung ◽  
Rashid H. Khokhar
Keyword(s):  
Research Council ◽  
Denial Of Service ◽  
National Research Council ◽  
Time Increase ◽  
Mining System ◽  
Security Services ◽  
Malware Propagation ◽  
Attack Patterns ◽  
Data Mining System

Managed Security Services (MSS) have become an essential asset for companies to have in order to protect their infrastructure from hacking attempts such as unauthorized behaviour, denial of service (DoS), malware propagation, and anomalies. A proliferation of attacks has determined the need for installing more network probes and collecting more security-related events in order to assure the best coverage, necessary for generating incident responses. The increase in volume of data to analyse has created a demand for specific tools that automatically correlate events and gather them in pre-defined scenarios of attacks. Motivated by Above Security, a specialized company in the sector, and by National Research Council Canada (NRC), we propose a new data mining system that employs text mining techniques to dynamically relate security-related events in order to reduce analysis time, increase the quality of the reports, and automatically build correlated scenarios.

scholarly journals Field verification of a new asphalt compactor, AMIR

1991 ◽  
Vol 18 (3) ◽  
pp. 465-471 ◽  
Author(s):  
Otto J. Svec ◽  
A. O. Abd El Halim
Keyword(s):  
Key Words ◽  
Laboratory Testing ◽  
Research Council ◽  
Joint Venture ◽  
National Research Council ◽  
Field Trials ◽  
Full Scale ◽  
Field Verification ◽  
Asphalt Mix

A prototype of a new asphalt compactor termed "asphalt multi-integrated roller (AMIR)" was built as a joint venture between the National Research Council of Canada (NRC) and a Canadian manufacturer, Lovat Tunnel Equipment, Inc. The purpose of this project was to prove this new compaction concept in a full-scale environment. This paper describes one of the field trials carried out on the campus of the NRC and reports the results quantifying the quality of the AMIR compaction. Key words: compactor, asphalt mix, field trials, laboratory testing.

THE NATIONAL RESEARCH COUNCIL'S REPORT ON A STUDY OF MILK REGULATIONS AND SANITARY MILK CONTROL*

1954 ◽  
Vol 17 (5) ◽  
pp. 139-143
Author(s):  
Harold S. Adams
Keyword(s):  
Milk Production ◽  
Research Council ◽  
National Research Council ◽  
Field Work ◽  
American City ◽  
Milk Samples ◽  
Production Distribution ◽  
Quality Of Milk ◽  
Control Work

This article reports upon research performed under the direction of the Committee on Milk Production Distribution and Quality of the National Research Council. The purpose of this research was to study the effect of milk regulations and their enforcement on the sanitary quality of milk. Eight large American city milk supplies were studied in detail. The field work included an inspection of a representative group of farms and milk plants and the examination of milk samples representative of each supply. Certain regulations governing the production and handling of milk were found to be definitely reflected in the bacteriological quality of both the raw and finished product. Several significant conclusions are drawn which should be of particular value to those engaged in milk control work.

Léo Edmond Marion, 22 March 1899 - 16 July 1979

1980 ◽  
Vol 26 ◽  
pp. 357-370
Keyword(s):  
World War Ii ◽  
World War I ◽  
Research Council ◽  
National Research Council ◽  
World War ◽  
The Great Depression ◽  
Biographical Memoir ◽  
Growth Of Science ◽  
Term Objective

Léo Marion’s life coincided with World War I as a youth in a family of seven of very modest means, with the start of the Great Depression on the achievement of his Ph.D. degree, with World War II during his middle age and, thereafter, with the emergence of his country from colonial to independent status. He saw the growth of science in Canada from a bare presence to an important component of world science. The quality of his remarkable career should be measured accordingly. He had no advantages except for a fine mind and ‘an early natural taste for science encouraged by my mother’. To appreciate Léo Marion properly, one should read the biographical memoir he wrote with such loving care for the person with whom he worked hand in hand for over 23 years and which saw the blossoming of the National Research Council of Canada and the flourishing of science in Canada. To an important degree, he spoke as much for himself as for E. W. R. Steacie ( Biographical Memoirs of Fellows of the Royal Society , vol. 10, 1964) since we know that these two truly exceptional individuals worked so harmoniously and closely together toward commonly held objectives for the development of chemistry in Canada that their contributions in this regard cannot be separated. Both were especially distinguished for their deep interest in helping people who did good work. Together they set the best world standards for chemistry in Canada and strove successfully toward this goal with a vigour and dedication that is truly remarkable. The dangers of a bureaucratic planning of science was wisely understood and the foremost objective was to establish a scientific institution for creative work that minimized the evils of uniformity and arbitrary bureaucratic interference. The longer term objective of spilling excellence from within the National Research Council into the Canadian universities was achieved.

Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties

2010 ◽  
pp. 174-197 ◽  
Author(s):  
James H. Hill
Keyword(s):  
Data Mining ◽  
Quality Of Service ◽  
Distributed System ◽  
Real Life ◽  
System Quality ◽  
Mining System ◽  
Execution Traces ◽  
Data Mining System ◽  
Software Lifecycle

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.

scholarly journals Reviewer Acknowledgements for Journal of Food Research, Vol. 6 No. 2

2017 ◽  
Vol 6 (2) ◽  
pp. 100
Author(s):  
Bella Dong
Keyword(s):  
United States ◽  
Food Production ◽  
Research Council ◽  
National Research Council ◽  
Application Form ◽  
Food Research ◽  
Mcgill University ◽  
E Mail ◽  
Central South

Journal of Food Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.Journal of Food Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://recruitment.ccsenet.org and e-mail the completed application form to [email protected] for Volume 6, Number 2Antonello Santini, University of Napoli "Federico II", ItalyBernardo Pace, Institute of Science of Food Production (ISPA), National Research Council (CNR), ItalyElsa M Goncalves, Instituto Nacional de Investigacao Agrária (INIA), PortugalFernanda Papa Spada, University of São Paulo, BrazilFrancesca Danesi, University of Bologna, ItalyJasdeep Saini, WTI (world Technology Ingredients), Inc., United StatesLuis Patarata, Universidade de Trás-os-Montes e Alto Douro, PortugalMarta Mesias, Spanish National Research Council, SpainMarwa Ibrahim Abd El Hamid, Faculty of Veterinary Medicine, Zagazig University, Egypt.Nicola Caporaso, University of Naples Federico II, ItalyPalmiro poltronieri, National Research Council of Italy, ItalyPhilippa Chinyere Ojimelukwe, Michael Okpara University of Agriculture Umudike, NigeriaQinlu Lin, Central South University of Forestry and Technology, ChinaRaza Hussain, School of Dietetics and Human Nutrition, McGill University, CanadaSefat E Khuda, US Food and Drug Administration, United StatesTzortzis Nomikos, Harokopio University, GreeceVasudha Bansal, Center of Innovative and Applied Bioprocessing (CIAB), IndiaVioleta Ivanova-Petropulos, University "Goce Delcev" - Stip, Republic of MacedoniaWon Choi, University of Hawaii at Manoa, United States

scholarly journals Reviewer Acknowledgements for Journal of Food Research, Vol. 6 No. 5

2017 ◽  
Vol 6 (5) ◽  
pp. 131
Author(s):  
Bella Dong
Keyword(s):  
Research Council ◽  
National Research Council ◽  
Technological Education ◽  
Application Form ◽  
Food Research ◽  
Oregon Health ◽  
Teachers Training ◽  
E Mail ◽  
Federal Center

Journal of Food Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.Journal of Food Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://recruitment.ccsenet.org and e-mail the completed application form to [email protected] for Volume 6, Number 5Aly R Abdel-Moemin, Helwan University, EgyptAncuta Elena Prisacaru, Stefan cel Mare University of Suceava, RomaniaAntonello Santini, University of Napoli "Federico II", ItalyBeatriz Sevilla-Moran, National Institute for Agricultural and Food Research and Technology, SpainCorina-aurelia Zugravu, University of Medicine and Pharmacy Carol Davila, RomaniaDiego A. Moreno-Fernández, CEBAS-CSIC, SpainGisele Fátima Morais Nunes, Federal Center of Technological Education of Minas Gerais, BrazilIonel D. Bondoc, University of Agricultural Sciences and Veterinary Medicine, RomaniaLilia Calheiros De Oliveira Barretto, Universidade Federal do Rio de Janeiro, BrazilMarco Iammarino, Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, ItalyMarta Mesias, Spanish National Research Council, SpainMuhammed Yüceer, Canakkale Onsekiz Mart University, TurkeyNingning Zhao, Oregon Health & Science University, United StatesSefat E Khuda, Centre for Food Safety and Applied Nutrition, United StatesShalini A. Neeliah, Ministry of Agro-industry and food security, MauritiusSonchieu Jean, Higher Technical Teachers Training College (HTTTC), University of Bamenda, CameroonVasudha Bansal, Center of Innovative and Applied Bioprocessing (CIAB), India

scholarly journals Reviewer Acknowledgements for Journal of Food Research, Vol. 6 No. 4

2017 ◽  
Vol 6 (4) ◽  
pp. 159
Author(s):  
Bella Dong
Keyword(s):  
Research Council ◽  
National Research Council ◽  
Application Form ◽  
Food Engineering ◽  
Food Research ◽  
Mcgill University ◽  
Agriculture And Food ◽  
Teachers Training ◽  
E Mail

Journal of Food Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.Journal of Food Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://recruitment.ccsenet.org and e-mail the completed application form to [email protected] for Volume 6, Number 4Afef Janen, Alabama A&M University, United StatesAlexandrina Sirbu, Constantin Brancoveanu University, RomaniaAmira Mohamed Elkholy, Suez Canal University, EgyptAntonella Santillo, University of Foggia, ItalyArulmozhi Yuvaraj, Bharathiar University, IndiaAsima Asi Begic-Akagic, Faculty of Agriculture and Food Sciences, BosnianBeatriz Sevilla-Moran, INIA-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, SpainCristina Damian, Stefan cel Mare University of Suceava, Faculty of Food Engineering, RomaniaDiego A. Moreno-Fernández, CEBAS-CSIC, SpainEduardo Esteves, Universidade do Algarve and Centre of Marine Sciences, PortugalElsa M Goncalves, Instituto Nacional de Investigacao Agrária (INIA), PortugalHaihan Chen, University of California, United StatesJ. Basilio Heredia, Research Center for Food and Development, MexicoJose Maria Zubeldia, Gestión Sanitaria de Canarias – Gobierno de Canarias, SpainLenka Kourimska, Czech University of Life Sciences Prague, Czech RepublicLuis Patarata, Universidade de Trás-os-Montes e Alto Douro, PortugalMarco Iammarino, Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, ItalyMarta Mesias, Spanish National Research Council, SpainMarwa Ibrahim Abd El Hamid, Faculty of Veterinary Medicine, Zagazig University, Egypt.Paa Akonor, Council for Scientific and Industrial Research-Food Research Institute, GhanaPalmiro Poltronieri, National Research Council of Italy, ItalyShalini A. Neeliah, Ministry of Agro-industry and food security, MauritiusSonchieu Jean, Higher Technical Teachers Training College (HTTTC), University of Bamenda, CameroonTinna Austen Ng'ong'ola-Manani, Lilongwe University of Agriculture & Natural Resources, MalawiWinny Routray, McGill University, CanadaXinyin Jiang, Brooklyn College, United States

Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties

Data Mining ◽  
2013 ◽  
pp. 751-774
Author(s):  
James H. Hill
Keyword(s):  
Data Mining ◽  
Quality Of Service ◽  
Distributed System ◽  
Real Life ◽  
System Quality ◽  
Mining System ◽  
Execution Traces ◽  
Data Mining System ◽  
Software Lifecycle

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.

scholarly journals The Salaries of Ph.D.'s in Academe and Elsewhere

1993 ◽  
Vol 7 (1) ◽  
pp. 151-158 ◽  
Author(s):  
Albert Rees
Keyword(s):  
Research Council ◽  
National Research Council ◽  
Job Security ◽  
Academic Institutions ◽  
Average Quality ◽  
Doctoral Recipients ◽  
Compensating Differential ◽  
Two Sectors ◽  
Academic Sector

It has long been known that Ph.D.'s working for academic institutions earn less than Ph.D.'s in the same disciplines working for other kinds of employers, especially government and industry. It has not been possible to tell, however, whether this difference in earnings represents a difference in average quality of the employees in the two sectors or whether it represents a compensating differential reflecting the greater autonomy and freedom from control of superiors in the academic sector and the greater job security of tenured professors. It is now possible to answer this question through the use of special tabulations of data from the Survey of Doctoral Recipients of the National Research Council (1989).

Sign in / Sign up

Export Citation Format

Share Document