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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks
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一个生物灵感的混合优化框架,用于有效的实时恶意软件检测.

Mosleh M Abualhaj1, Hani Al-Mimi2, Mahran Al-Zyoud3

  • 1Department of Networks and Cybersecurity, Al-Ahliyya Amman University, Amman, Jordan. m.abualhaj@ammanu.edu.jo.

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PubMed
概括
此摘要是机器生成的。

本研究介绍了一种混合的哈里斯·霍克斯优化 (HHO) 和蝙蝠算法 (BA) 用于恶意软件URL检测. HHOBA方法达到99.52%的准确性,而HHOBA提供更快的实时性能.

关键词:
蝙蝠算法 (BA) 是一个算法.功能选择 功能选择哈里斯的优化 (HHO)在ISCX-URL2016数据集中.机器学习是机器学习.恶意软件检测检测 恶意软件检测

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科学领域:

  • 网络安全 网络安全
  • 机器学习 机器学习
  • 生物启发的优化优化

背景情况:

  • 通过恶意URL进行的恶意软件攻击正在迅速增加.
  • 检测这些威胁需要高维数据的高效处理.

研究的目的:

  • 为有效的恶意软件URL特征选择开发混合生物灵感的优化框架.
  • 评估合并 (HHOBA) 和交叉 (HHOBA) 策略,以平衡准确性和效率.

主要方法:

  • 结合哈里斯·霍克斯优化 (HHO) 和蝙蝠算法 (BA) 进行特征选择.
  • 雇佣的XGBoost和额外树木分类器通过网格搜索进行了微调.
  • 使用ISCX-URL2016数据集进行实验.

主要成果:

  • 通过HHOBA方法实现了99.52%的最大检测精度.
  • 霍巴法证明了训练和推理时间显著加快.
  • 这两种方法在ISCX-URL2016数据集上都显示出强大的分类性能.

结论:

  • 介绍了用于恶意软件URL检测的灵活框架,平衡准确性和速度.
  • 对于高安全性需求,HOBA 策略是最佳的,而 HHOBA 则适合实时应用.
  • 调查结果强调了网络安全中检测准确度和计算效率之间的权衡.