为了提高网络入侵检测的正确率,提出一种基于KNN-IPSO选择特征的网络入侵检测模型(KNN-IPSO)。首先采用K近邻算法消除原始网络数据中的冗余特征,并将其作为粒子群算法的初始解,然后采用粒子群算法找到最优特征子集,并对粒子的惯性权重...为了提高网络入侵检测的正确率,提出一种基于KNN-IPSO选择特征的网络入侵检测模型(KNN-IPSO)。首先采用K近邻算法消除原始网络数据中的冗余特征,并将其作为粒子群算法的初始解,然后采用粒子群算法找到最优特征子集,并对粒子的惯性权重进行自适应调整和种群进行混沌操作,帮助种群跳出局部最优,最后采用KDD CUP 99数据集对KNN-IPSO的性能进行测试。结果表明,KNN-IPSO消除了冗余特征,降低了分类器的输入维数,有效提高了入侵检测正确率和检测速度。展开更多
Mitogen-activated protein kinases(MAPKs) are the main regulators of cellular proliferation, growth, and survival in physiological or pathological conditions. Aberrant MAPK signaling plays a pivotal role in carcinogene...Mitogen-activated protein kinases(MAPKs) are the main regulators of cellular proliferation, growth, and survival in physiological or pathological conditions. Aberrant MAPK signaling plays a pivotal role in carcinogenesis, which leads to development and progression of human cancer. Dual-specificity phosphatase 6(DUSP6), a member of the MAPK phosphatase family, interacts with specifically targeted extracellular signal-regulated kinase 1/2 via negative feedback regulation in the MAPK pathway of mammalian cells. This phosphatase functions in a dual manner, pro-oncogenic or tumor-suppressive, depending on the type of cancer. To date, the tumor-suppressive role of DUSP6 has been demonstrated in pancreatic cancer, non-small cell lung cancer, esophageal squamous cell and nasopharyngeal carcinoma, and ovarian cancer. Its pro-oncogenic role has been observed in human glioblastoma, thyroid carcinoma, breast cancer, and acute myeloid carcinoma. Both roles of DUSP6 have been documented in malignant melanoma depending on the histological subtype of the cancer. Loss-or gain-of-function effects of DUSP6 in these cancers highlights the significance of this phosphatase in carcinogenesis. Development of methods that use the DUSP6 gene as a therapeutic target for cancer treatment or as a prognostic factor for diagnosis and evaluation of cancer treatment outcome has great potential. This review focuses on molecular characteristics of the DUSP6 gene and its role in cancers in the purview of development, progression, and cancer treatment outcome.展开更多
文摘为了提高网络入侵检测的正确率,提出一种基于KNN-IPSO选择特征的网络入侵检测模型(KNN-IPSO)。首先采用K近邻算法消除原始网络数据中的冗余特征,并将其作为粒子群算法的初始解,然后采用粒子群算法找到最优特征子集,并对粒子的惯性权重进行自适应调整和种群进行混沌操作,帮助种群跳出局部最优,最后采用KDD CUP 99数据集对KNN-IPSO的性能进行测试。结果表明,KNN-IPSO消除了冗余特征,降低了分类器的输入维数,有效提高了入侵检测正确率和检测速度。
基金funded by a grant from Fundamental Research Grant Scheme, Ministry of Higher Education Malaysia (Grant No. 203.CIPPT.6711505)
文摘Mitogen-activated protein kinases(MAPKs) are the main regulators of cellular proliferation, growth, and survival in physiological or pathological conditions. Aberrant MAPK signaling plays a pivotal role in carcinogenesis, which leads to development and progression of human cancer. Dual-specificity phosphatase 6(DUSP6), a member of the MAPK phosphatase family, interacts with specifically targeted extracellular signal-regulated kinase 1/2 via negative feedback regulation in the MAPK pathway of mammalian cells. This phosphatase functions in a dual manner, pro-oncogenic or tumor-suppressive, depending on the type of cancer. To date, the tumor-suppressive role of DUSP6 has been demonstrated in pancreatic cancer, non-small cell lung cancer, esophageal squamous cell and nasopharyngeal carcinoma, and ovarian cancer. Its pro-oncogenic role has been observed in human glioblastoma, thyroid carcinoma, breast cancer, and acute myeloid carcinoma. Both roles of DUSP6 have been documented in malignant melanoma depending on the histological subtype of the cancer. Loss-or gain-of-function effects of DUSP6 in these cancers highlights the significance of this phosphatase in carcinogenesis. Development of methods that use the DUSP6 gene as a therapeutic target for cancer treatment or as a prognostic factor for diagnosis and evaluation of cancer treatment outcome has great potential. This review focuses on molecular characteristics of the DUSP6 gene and its role in cancers in the purview of development, progression, and cancer treatment outcome.
