Title :
NeuroNet: Towards an Intelligent Internet Infrastructure
Author_Institution :
State Univ. of New York - Binghamton, Binghamton
Abstract :
Malicious attacks against Internet infrastructure are one of the most damaging threats to modern society. Due to the inter-dependence between networks, attackers can paralyze or isolate the victim network without attacking it directly. Such kind of attacks could be a main weapon of cyber war in the foreseeable future, potentially detrimental to many national interests. Today´s network security solutions designed under the end-to-end paradigm cannot address the malicious activities inside the core network effectively. This paper proposed to strengthen the network infrastructure by developing NeuroNet, a network neural system that plays a critical role similar to the role of the nervous system in the human body. A distributed information collection and processing mechanism is proposed, which coordinates the activities of core network devices, monitor for anomalies, construct alerts, and initiate countermeasures. Through intensive experiment of a distributed detection scheme against the low-rate TCP-targeted DDoS attacks, the effectiveness of the NeuroNet architecture is verified.
Keywords :
Internet; computer crime; intelligent networks; neural nets; telecommunication computing; telecommunication security; NeuroNet system; artificial neural networks; cyber war; distributed information collection mechanism; distributed information processing mechanism; intelligent Internet infrastructure; malicious attacks; network security solutions; victim network; Authentication; Computer crime; Cryptography; IP networks; Information security; Internet; National security; Protection; Robustness; Weapons;
Conference_Titel :
Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1456-7
Electronic_ISBN :
978-1-4244-1457-4
DOI :
10.1109/ccnc08.2007.126