• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.202-209
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• 2023

Android malware is now on the rise, because of the rising interest in the Android operating system. Machine learning models may be used to classify unknown Android malware utilizing characteristics gathered from the dynamic and static analysis of an Android applications. Anti-virus software simply searches for the signs of the virus instance in a specific programme to detect it while scanning. Anti-virus software that competes with it keeps these in large databases and examines each file for all existing virus and malware signatures. The proposed model aims to provide a machine learning method that depend on the malware detection method for Android inability to detect malware apps and improve phone users' security and privacy. This system tracks numerous permission-based characteristics and events collected from Android apps and analyses them using a classifier model to determine whether the program is good ware or malware. This method used the machine learning techniques KNN-SVM, DBN, and GRU in which help to find the accuracy which gives the different values like KNN gives 87.20 percents accuracy, SVM gives 91.40 accuracy, Naive Bayes gives 85.10 and DBN-GRU Gives 97.90. Furthermore, in this paper, we simply employ standard machine learning techniques; but, in future work, we will attempt to improve those machine learning algorithms in order to develop a better detection algorithm.

• Rapid Communication in Photoscience
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• v.5 no.1
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• pp.11-12
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• 2016

Schwann cells and neuronal cells from dorsal root ganglion (DRG) in embryos of rat were cultured in vitro respectively. The purified neuronal cells with anti-mitotic agents and purified Schwann cells were co-cultured and then accomplished myelination processing. Infection of Semliki forest virus into this myelinated co-culture system was performed and then accomplished demyelination. We identified myelination and demyelination processing using antibody of neuropeptide Y.

• Journal of Microbiology and Biotechnology
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• v.26 no.4
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• pp.684-692
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• 2016

Acute respiratory virus infectious diseases are a growing health problem, particularly among children and the elderly. Much effort has been made to develop probiotics that prevent influenza virus infections by enhancing innate immunity in the respiratory tract until vaccines are available. Lactobacillus plantarum GB-LP2, isolated from a traditional Korean fermented vegetable, has exhibited preventive effects on influenza virus infection in mice. To identify the molecular basis of this strain, we conducted a whole-genome assembly study. The single circular DNA chromosome of 3,284,304 bp was completely assembled and 3,250 protein-encoding genes were predicted. Evolutionarily accelerated genes related to the phenotypic trait of anti-infective activities for influenza virus were identified. These genes encode three integral membrane proteins, a teichoic acid export ATP-binding protein and a glucosamine - fructose-6-phosphate aminotransferase involved in host innate immunity, the nonspecific DNA-binding protein Dps, which protects bacteria from oxidative damage, and the response regulator of the three-component quorum-sensing regulatory system, which is related to the capacity of adhesion to the surface of the respiratory tract and competition with pathogens. This is the first study to identify the genetic backgrounds of the antiviral activity in L. plantarum strains. These findings provide insight into the anti-infective activities of L. plantarum and the development of preventive probiotics.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.59-64
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• 2007

In these days, malicious codes have become reality and evolved significantly to become one of the greatest threats to the modern society where important information is stored, processed, and accessed through the internet and the computers. Computer virus is a common type of malicious codes. The standard techniques in anti-virus industry is still based on signatures matching. The detection mechanism searches for a signature pattern that identifies a particular virus or stain of viruses. Though more accurate in detecting known viruses, the technique falls short for detecting new or unknown viruses for which no identifying patterns present. To cope with this problem, anti-virus software has to incorporate the learning mechanism and heuristic. In this paper, we propose a fuzzy diagnosis system(FDS) using fuzzy c-means algorithm(FCM) for the cluster analysis and a decision status measure for giving a diagnosis. We compare proposed system FDS to three well known classifiers-KNN, RF, SVM. Experimental results show that the proposed approach can detect unknown viruses effectively.

• Clinical and Experimental Pediatrics
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• v.51 no.7
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• pp.690-695
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• 2008

The age-specific anti-hepatitis A virus (HAV) seroprevalence rates in South Korea have changed markedly since the last 2030 years with an improvement in the socio-economic, housing, and environmental-sanitation conditions. These changes are characterized by very low anti-HAV seropositive rates among individuals less than 30 years of age; however, nowadays, most adolescents and young adults at an increased risk of developing symptomatic HAV infections. The Korea Center for Disease Control Sentinel Surveillance System has recently revealed an increase in the incidence of hepatitis A infection since 2001 and has revealed a potential endemic nature of the hepatitis A infection. Hepatitis A vaccines that were introduced in 1997 in Korea have made the current anti-HAV IgG positive rates in children (less than 10 years of age) approximately 50% of the rates observed in Seoul in 2006. However, in the same year, a few children were diagnosed as having anti-HAV IgG antibodies in Busan. This suggests the presence of some difference in the vaccination policy among doctors practicing in Seoul and Busan. Thus, the current recommendation of vaccinating 12-year-old child with HAV vaccination should be emphasized and a new strategy should be developed for the vaccination program to cater to the adolescents and young adults who are not immune, as well as for persons who are at a high risk for hepatitis A viral infection such as military personnel and hospital and day care center employees. Further, urgent hepatitis A vaccinations are also needed in patients with chronic liver diseases.

• CELLMED
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• v.10 no.4
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• pp.29.1-29.6
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• 2020

COVID-19 (Corona Virus Disease-2019) is an infectious respiratory disease caused by the most recently discovered coronavirus, SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona virus-2). This new viral disease was unknown before the outbreak began in Wuhan, China, in December 2019. As of November 16th 2020, it affects about 54.3 million populations, death troll increased to 1.32 million cases in worldwide. Whereas in India 8.85 cases are infected with COVID-19, of which 1, 30, 112 cases were died. Till now there has been no specific anti-virus drug or vaccines are available for the treatment of this disease, the supportive care and non-specific treatment to the symptoms of the patient are the only options in Biomedicine, the entire world turns its attention towards alternative medicine or Traditional medicine. Siddha medicine is one of the primordial systems of medicine practiced in the southern part of India, it dealt a lot about pandemic, and its management. This review provides an insight into Pandemic in Siddha system and its management in both ancient history and modern history, National and state level Government policies related to current pandemic, World Health Organization (WHO) guidelines on usage of unproven drug during infectious disease outbreak, Preparedness of Siddha system during a pandemic outbreak Challenges and Recommendations.

• Convergence Security Journal
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• v.6 no.1
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• pp.13-23
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• 2006

It is more desirable to execute AV software on server systems rather than on clients for the minimization of damages due to malicious codes. AV software on server system, however, may aggravate the load of server system. In this paper, we propose a new AV software executed on server system without additional loads with a monitor and multi-agent model. The new AV software supports dynamic load balancing that reflects the features of AV engine, and thus it can be executed efficiently on server systems. The results of performance evaluation on the AV software attest to the strong points of the new AV software.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.79-80
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• 2021

본 논문은 MITM 공격기법을 역이용한 네트워크 보안 기술 및 구현 방안을 제시한다. MITM(Man In The Middle) 공격은 통신 경로 중간에 개입하여 양 단간의 통신 내용을 가로채거나 행위 제어를 수행하는 전통적인 해킹 방법으로 그 공격 기법을 역이용하여 네트워크 공격을 방어하는 보안기술 및 시스템 구현에 대해 기술한다. Linux 시스템을 이용하여 ARP Poisoning을 통해 양단간 통신 트래픽에 개입하며, Netfilter 및 Suricata를 이용하여 Network IDS/IPS 및 Firewall을 구현하였고, Contents 필터링 및 Anti-Virus 구현이 가능하며, 여러 기능을 확장하여 UTM(Unified Threats Management) 시스템을 구현하였다.

• IMMUNE NETWORK
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• v.23 no.4
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• pp.30.1-30.18
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• 2023

About 0.8 million people die because of hepatitis B virus (HBV) infection each year. In around 5% of infected adults, the immune system is ineffective in countering HBV infection, leading to chronic hepatitis B (CHB). CHB is associated with hepatocellular carcinoma, which can lead to patient death. Unfortunately, although current treatments against CHB allow control of HBV infection, they are unable to achieve complete eradication of the virus. Cytokines of the IFN family represent part of the innate immune system and are key players in virus elimination. IFN secretion induces the expression of interferon stimulated genes, producing proteins that have antiviral properties and that are essential to cell-autonomous immunity. IFN-α is commonly used as a therapeutic approach for CHB. In addition, IFN-γ has been identified as the main IFN family member responsible for HBV eradication during acute infection. In this review, we summarize the key evidence gained from cellular or animal models of HBV replication or infection concerning the potential anti-HBV roles of IFN-γ with a particular focus on some IFN-γ-inducible genes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.919-922
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• 2016

Neuronal cells and Schwann cells from dorsal root ganglion (DRG) in embryos of rat were isolated and cultured in vitro respectively. The purified neuronal cells added with anti-mitotic agents and purified Schwann cells were co-cultured and then accomplished myelination processing. This myelinated co-culture system was infected by herpes simplex virus-1 and then accomplished demyelination processing in this myelinated co-culture. We identified myelination and demyelination processing using antibody of neuropeptide Y meaning presence of myelinated neuron.