TY  - CONF
N2  - The prevention of any type of cyber attack is indispensable because a single attack may break the security of computer and network systems. The hindrance of such attacks is entirely dependent on their detection. The detection is a major part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), check points and firewalls. Consequently, in this paper, we are contemplating the feasibility of an approach to probing attacks that are the basis of others attacks in computer network systems. Our approach adopts a supervised neural network phenomenon that is majorly used for detecting security attacks. The proposed system takes into account Multiple Layered Perceptron (MLP) architecture and resilient backpropagation for its training and testing. The system uses sampled data from Kddcup99 dataset, an attack database that is a standard for evaluating the security detection mechanisms. The developed system is applied to different probing attacks. Furthermore, its performance is compared to other neural networks' approaches and the results indicate that our approach is more precise and accurate in case of false positive, false negative and detection rate. © 2009 IEEE.
SN  - 9781424446827
Y1  - 2009///
KW  - Data sets; Detection rates; False negatives; False positive; Multiple layered perceptron; Resilient backpropagation
KW  -  Backpropagation; Computer viruses; Industrial electronics; Intrusion detection; Network security
KW  -  Neural networks
TI  - Application of artificial neural network in detection of probing attacks
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-76349121064&doi=10.1109%2fISIEA.2009.5356382&partnerID=40&md5=12a25ab0e0349f0513169349c1f47af5
A1  - Ahmad, I.
A1  - Abdullah, A.B.
A1  - Alghamdi, A.S.
N1  - cited By 45; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
ID  - scholars528
EP  - 562
CY  - Kuala Lumpur
SP  - 557
AV  - none
VL  - 2
ER  -