Rootkits, which unnoticeably reside in your computer, stealthily carry on remote control and software eavesdropping, are a great threat to network and computer security. It＇s time to acquaint ourselves with their imp...Rootkits, which unnoticeably reside in your computer, stealthily carry on remote control and software eavesdropping, are a great threat to network and computer security. It＇s time to acquaint ourselves with their implement and detection. This article pays more attention to kernel rootkits, because they are more difficult to compose and to be identified than useland rootkits. The latest technologies used to write and detect kernel rootkits, along with their advantages and disadvantages.展开更多
针对当前Rootkits类型的恶意代码数目剧增且隐匿于系统内核而使传统反病毒技术难以检测的问题,受生物免疫系统的启发,提出了一种基于免疫机理的Rootkits检测模型IMRD(immunity-inspired model for Rootkits detec-tion)。该模型将进程...针对当前Rootkits类型的恶意代码数目剧增且隐匿于系统内核而使传统反病毒技术难以检测的问题,受生物免疫系统的启发,提出了一种基于免疫机理的Rootkits检测模型IMRD(immunity-inspired model for Rootkits detec-tion)。该模型将进程运行时在内核模式中所产生的动态IRP(I/O request packets)请求序列提取为抗原,将系统中干净正常的良性程序定义为自体,将已知的Rootkits恶意代码定义为非自体。通过对Rootkits恶意代码进程行为监控和家族基因分析来监视Rootkits恶意代码演化,通过疫苗接种、克隆选择、基因进化等方式来学习与进化识别未知Ro-otkits并提取它们的基因以更新抗体基因库。理论分析与实验表明:该模型对于未知Rootkits的检测率较高,误报率和漏报率较低。展开更多
基金Supported by the Key Scientific and TechnologicalProject of Henan Province (SP200402089)
文摘Rootkits, which unnoticeably reside in your computer, stealthily carry on remote control and software eavesdropping, are a great threat to network and computer security. It＇s time to acquaint ourselves with their implement and detection. This article pays more attention to kernel rootkits, because they are more difficult to compose and to be identified than useland rootkits. The latest technologies used to write and detect kernel rootkits, along with their advantages and disadvantages.
文摘针对当前Rootkits类型的恶意代码数目剧增且隐匿于系统内核而使传统反病毒技术难以检测的问题,受生物免疫系统的启发,提出了一种基于免疫机理的Rootkits检测模型IMRD(immunity-inspired model for Rootkits detec-tion)。该模型将进程运行时在内核模式中所产生的动态IRP(I/O request packets)请求序列提取为抗原,将系统中干净正常的良性程序定义为自体,将已知的Rootkits恶意代码定义为非自体。通过对Rootkits恶意代码进程行为监控和家族基因分析来监视Rootkits恶意代码演化,通过疫苗接种、克隆选择、基因进化等方式来学习与进化识别未知Ro-otkits并提取它们的基因以更新抗体基因库。理论分析与实验表明:该模型对于未知Rootkits的检测率较高,误报率和漏报率较低。
