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Emmanuel Hooper 보안공학연구지원센터 2007 International Journal of Security and Its Applicat Vol.1 No.1
Complex network and internetwork attacks evade the detection of intrusion detection systems including insertions, evasions and distributed denial of service attacks. The presence of these complex attacks along with false positives in intrusion detection systems has resulted in inefficient detection and response to such packets in current network infrastructure systems. In this paper we analyse complex network and internetwork attacks and provide effective intelligent countermeasures ad strategies for containing their adverse impact on network and internetwork infrastructures..
Emmanuel Hooper 보안공학연구지원센터 2007 International Journal of Security and Its Applicat Vol.1 No.1
There major challenges for current Intrusion Detection Systems (IDS) which attempt to identify suspicious network traffic. Due to the high percentage of alerts generated by such systems, the level of false positives is among the significant problems. We present intelligent strategies for reduction of false positives and infrastructure protection using a novel approach using adaptive responses from firewall packet filters in what we call, network quarantine channels (NQC). This involves using an efficient and intelligent intrusion detection and response system using Virtual Private Networks, firewalls and packet filters. The firewall packet filters provide effective intelligent responses by to granting access to the normal packets and denying malicious traffic access to the network, after the identity of the connections are verified through the statistical analysis in the NQC. These effective strategies reduce false positives and increases detection capability of the IDS
Emmanuel Hooper 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.4
The major problem is the absence of effective techniques for network protocol security monitoring, measurement and prediction. This is due to the emerging complex network protocols whose patterns are not readily determined by current tools and methods. Current tools and methods cannot handle the complex topology or patterns of traffic for accurate prediction of network protocol behavior for a wide range of time-scales. This includes the problem of effective data mining and characterization of network protocol topology structures, due to emerging global technologies and multiple protocols that interacting across different network protocol layers. The research develops new efficient techniques for network protocol characterization, monitoring and data measurement. This includes the development of new mechanisms, tools and methods for protocol measurements, characterization and accurate prediction of network protocol behavior in a wide range of network multiple-protocol environments that interact across different network protocol layers. The research presents innovative approaches for effective and efficient management, security, resilience, testing, analysis, design and implementation of network protocols in multiple network environments.
James Hooper(제임스 후퍼),Sang-Ryong Lee(이상룡),Kyungwon Min(민경원),Eun-Jeong Kim(김은정),Hyuck K. Ju(주혁),Yun-Seo Cho(조윤서) 환경독성보건학회 2021 한국독성학회 심포지움 및 학술발표회 Vol.2021 No.5
Livestock manure is an important source of ammonia emissions globally, contributing to poor air quality through the formation of secondary inorganic aerosols. As per capita meat consumption increases, concentrated animal feeding operations (CAFOs) have become increasingly common, leading to large quantities of excreta that need to be treated in dedicated manure processing facilities. However, little is known about the scale of gaseous emissions from these facilities, and the potential impact they have on air quality and the surrounding environment. This paper presents NH<SUB>3</SUB>, SO<SUB>2</SUB>, NO<sub>x</sub> and PM<SUB>2.5</SUB> monitoring data from a modern commercial manure composting facility located in Paju, South Korea. During the five-week monitoring period during June – July 2020, average internal concentrations of NH<SUB>3</SUB>, SO<SUB>2</SUB>, NO, NO<SUB>2</SUB> and PM<SUB>2.5</SUB> were found to be 57.1 ± 1.3 mg m<sup>-3</sup>, 307.2 ± 17.4 μg m<sup>-3</sup>, 33.4 ± 3.2 μg m<sup>-3</sup>, 7.3 ± 0.8 μg m<sup>-3</sup>, and 36.9 ± 2.6 μg m<sup>-3</sup>, respectively. The NH<SUB>3</SUB> emission rate was calculated to be 7.28 ± 0.41 NH<SUB>3</SUB>-N mg min<sup>-1</sup> m<sup>-3</sup>, with scaled emissions rates of 1.85 ± 0.1 NH<SUB>3</SUB>-N g h<sup>-1</sup> m<sup>-3</sup> of manure compost, or 1.52 ± 0.09 NH<SUB>3</SUB>-N g kg<sup>-1</sup> of manure compost over the full 18-day composting period. The evidence suggests that the high-volume ventilation and scrubber system, maintaining a negative pressure environment inside the facility, was highly effective at limiting external emissions, and can be recommended as a suitable technology to reduce pollution from manure composting facilities.
Regionalism, Political Risk and Capital Market Segmentation in International Asset Pricing
Heaney, Richard,Hooper, Vince 세종대학교 국제경제연구소 2001 Journal of Economic Integration Vol.16 No.3
This study examines the relationship between financial market segmentation and political risk. Financial economists have attributed market segmentation to factors such as foreign exchange risk, taxes, tariffs and capital controls whereas the influence of political risk has been largely ignored. It is discovered that markets are generally segmented on a regional basis. It is also found that there is a high correlation between political risk and capital market segmentation. However, some countries may appear to be integrated when not because their economies are affected by similar economic factors such as the price of commodities or level of economic development. These findings have profound implications for asset pricing. Multi-index models should be tested that incorporate a regional index, an economic development attribute, commodity factors and a political risk variable in order to price securities more effectively.
Regional Integration of Stock Markets in Latin America
Heaney, Richard,Hooper, Vince,Jaugietis, Martin 세종대학교 국제경제연구소 2002 Journal of Economic Integration Vol.17 No.4
This paper examines the trend towards regionalism upon stock market returns in Latin America. Average correlations with other countries in the region and with the world suggest that the Latin American stock markets have become more regionally integrated over the study period. This finding reflects the growing cooperation between Latin American countries since liberalisation in the early 1990s. Prior to liberalisation, Latin American stock market returns showed greater association with the more developed markets, particularly the USA, than with their closest neighbour. This may have been due to the high dependence upon debt from these developed countries. Analysis highlights the importance of stock market data in helping researchers understand and monitor the regional integration process in Latin America.