摘要： 堆栈溢出攻击是目前使用得相当普遍的一种黑客技术分析了这种攻击技术的原理,指出了进行这种攻击时输入参数与正常情况下, 的差异。在此基础上提出了利用神经网络进行检测的方法,用实验验证了这种方法的有效性
关键词:
BP网络安全,
堆栈溢出,
神经网络,
入侵检测
Abstract: Buffer overflow is a technology widely used by hackers to attack computer. In this paper the principle of such kind of attack is analyzed, and the difference of input parameters between in normal case and under attack is also discussed. Then a method, which uses BP neural networks to detect this kind of attack, is proposed. Experiment results prove its validity.
中图分类号:
孙海彬,徐良贤,杨怀银. 堆栈溢出攻击的原理及检测[J]. , 2001, 27(10): 131-132.
SUN Haibin 1, XU Liangxian1, YANG Huaiying 2. The Principle and Detection of Buffer Overflow Attack[J]. , 2001, 27(10): 131-132.