TY - JOUR
T1 - HAWK
T2 - Third International Conference on Computer Network and Mobile Computing, ICCNMC 2005
AU - Kwok, Yu Kwong
AU - Tripathi, Rohit
AU - Chen, Yu
AU - Hwang, Kai
N1 - Funding Information:
Okuda-Ashitaka et al."' also demonstrated that nocistatin blocked the hyperalgesia and allodynia induced not only by OFQ, but also by prostaglandin E2 and prostaglandin F2a. A question was thus raised: does nocistatin possess an universal characteristic of inhibiting hyperalgesia and allodynia produced by a variety of mechanisms? Our result gives a negative answer to the question. At least, nocistatin cannot inhibit the allodynia induced by spinal nerve ligation in rats. In summary, nocistatin produced no significant influence on the basal TFL and morphine-induced analgesia of the rat, nor on the mechanical allodynia induced by nerve injury, yet it specifically antagonized the anti-opioid effect produced by OFQ in the rat brain. These results may be helpful for further clarification of the function of nocistatin and its mechanism of action. Acknowledgements This work was supported by the National Natural Science Foundation of China (Grant Nos. 39770848, 39830160), and a grant from NIH (DA 03983), USA.
PY - 2005
Y1 - 2005
N2 - High availability in network services is crucial for effective large-scale distributed computing. While distributed denial-of-service (DDoS) attacks through massive packet flooding have baffled researchers for years, a new type of even more detrimental attack - shrew attacks (periodic intensive packet bursts with low average rate) - has recently been identified. Shrew attacks can significantly degrade well-behaved TCP sessions, repel potential new connections, and are very difficult to detect, not to mention defend against, due to its low average rate. We propose a new stateful adaptive queue management technique called HAWK (Halting Anomaly with Weighted choKing) which works by judiciously identifying malicious shrew packet flows using a small flow table and dropping such packets decisively to halt the attack such that well-behaved TCP sessions can re-gain their bandwidth shares. Our NS-2 based extensive performance results indicate that HAWK is highly agile.
AB - High availability in network services is crucial for effective large-scale distributed computing. While distributed denial-of-service (DDoS) attacks through massive packet flooding have baffled researchers for years, a new type of even more detrimental attack - shrew attacks (periodic intensive packet bursts with low average rate) - has recently been identified. Shrew attacks can significantly degrade well-behaved TCP sessions, repel potential new connections, and are very difficult to detect, not to mention defend against, due to its low average rate. We propose a new stateful adaptive queue management technique called HAWK (Halting Anomaly with Weighted choKing) which works by judiciously identifying malicious shrew packet flows using a small flow table and dropping such packets decisively to halt the attack such that well-behaved TCP sessions can re-gain their bandwidth shares. Our NS-2 based extensive performance results indicate that HAWK is highly agile.
UR - https://www.scopus.com/pages/publications/26444519904
U2 - 10.1007/11534310_46
DO - 10.1007/11534310_46
M3 - Conference article
AN - SCOPUS:26444519904
SN - 0302-9743
VL - 3619
SP - 423
EP - 432
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 2 August 2005 through 4 August 2005
ER -