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Integration of IP traceback with DDoS detection systems
Laziz Yunusov,Young-Tak Kim 한국통신학회 2009 한국통신학회 학술대회논문집 Vol.2009 No.6
In this paper, we introduce a security management architecture which integrates IP traceback mechanism with currently deployed Intrusion Detection System (IDS)/Intrusion Prevention System (IPS). A model is presented to extend IP traceback mechanism with distribution of attack traffic patterns to prevent new attacks at edge traceback-enabled routers. Current state of the arts in research on DDoS detection and IP traceback mechanisms is discussed, and existing commercial solution of DDoS attack detection and mitigation are described.
Li- and Na-ion Storage Performance of Natural Graphite via Simple Flotation Process
Laziz, Noureddine Ait,Abou-Rjeily, John,Darwiche, Ali,Toufaily, Joumana,Outzourhit, Abdelkader,Ghamouss, Fouad,Sougrati, Moulay Tahar The Korean Electrochemical Society 2018 Journal of electrochemical science and technology Vol.9 No.4
Natural graphite is obtained from an abandoned open-cast mine and purified by a simple, eco-friendly and affordable beneficiation process including ball milling and flotation process. Both raw graphite (55 wt %) and its concentrate (85 wt %) were electrochemically tested in order to evaluate these materials as anode materials for Li-ion and Na-ion batteries. It was found that both raw and purified graphites exhibit good electrochemical activities with respect to lithium and sodium ions through completely different reaction mechanisms. The encouraging results demonstrated in this work suggest that both raw and graphite concentrates after flotation could be used respectively for stationary and embedded applications. This strategy would help in developing local electrical storage systems with a significantly low environmental footprint.
Clinical Features of COVID-19 in Uzbekistan
김경희,최재욱,문주영,Habibulla Akilov,Laziz Tuychiev,Bakhodir Rakhimov,민광성 대한의학회 2020 Journal of Korean medical science Vol.35 No.45
Background: As of April 30, 2020, a total of 2,039 cases of the novel coronavirus disease 2019 (COVID-19) were confirmed in the Republic of Uzbekistan after the first detection on March 15. Reports on symptoms of COVID-19 are non-specific and known to vary from asymptomatic, mild to severe, or fatal. This study aimed to analyze the symptomatic and clinical characteristics of study participants based on the medical records of participants hospitalized with COVID-19 in Uzbekistan. Methods: We collected all data from medical records of COVID-19 confirmed patients in 19 hospitals from 13 regions of Uzbekistan between March 15 and April 30. We selected 1,030 patients discharged from the hospitals after COVID-19 treatment as study participants, excluding those with missing data. Further, we collected demographics, symptoms, clinical outcomes, and treatment data through medical records. Results: More than half (57.6%) of confirmed cases of COVID-19 were males, and the median age was 36.0 years. The most frequent symptoms at the first inspection on hospital admission of all patients were fatigue (59.7%), dry cough (54.1%), pharyngalgia (31.6%), headache (20.6%), and anorexia (12.5%). Compared to the oldest group, the youngest group showed a lower frequency of symptoms. About half of the group aged 18–49 years reported that they came from abroad. One-fifth of patients in group 50–84 received oxygen support, while no patients in group aged 0–17 years received oxygen support. About two-thirds of the participants from intensive care unit (ICU) came from abroad, whereas 42.1% of the non-ICU group returned from other countries. Regarding symptoms, 16.9% of the patients in the ICU group were asymptomatic, while 5.8% in the non-ICU group were asymptomatic. Conclusion: This study suggests that the medical delivery system and resource distribution need to be implemented based on clinical characteristics by age and severity to delay and effectively respond to the spread of infections in the future. This study analyzed symptoms of COVID-19 patients across Uzbekistan, which is useful as primary data for policies on COVID-19 in Uzbekistan.