TY - GEN
T1 - Minimizing the impact of Flash Crowd Attack in online retail applications
AU - Gururaj, H. L.
AU - Praveen, K. S.
AU - Ramesh, B.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/2/14
Y1 - 2017/2/14
N2 - In this booming digital era, everything is going online. Out of which, online shopping and online retail applications gets mammoth share. Many people shifting their focus towards online shopping to that of brick and mortar shops. So this has made online business a boom. But, at the same time it is also being threatened by many advanced attacks on these online applications. Flash Crowd Attack is one such advanced network security attack. This attack concentrates on an online application's website by sending many dummy useless requests to the server, thus putting lot of pressure on the server. This evades even the legitimate clients/buyers not to access the server. We found out that this attack might cause lot of problems to online buyers in the coming days. We had minimized the flash crowd attack in the network using wireshark and addressed the problems that are raised by this attack.
AB - In this booming digital era, everything is going online. Out of which, online shopping and online retail applications gets mammoth share. Many people shifting their focus towards online shopping to that of brick and mortar shops. So this has made online business a boom. But, at the same time it is also being threatened by many advanced attacks on these online applications. Flash Crowd Attack is one such advanced network security attack. This attack concentrates on an online application's website by sending many dummy useless requests to the server, thus putting lot of pressure on the server. This evades even the legitimate clients/buyers not to access the server. We found out that this attack might cause lot of problems to online buyers in the coming days. We had minimized the flash crowd attack in the network using wireshark and addressed the problems that are raised by this attack.
UR - http://www.scopus.com/inward/record.url?scp=85015026977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015026977&partnerID=8YFLogxK
U2 - 10.1109/ISCO.2017.7855987
DO - 10.1109/ISCO.2017.7855987
M3 - Conference contribution
AN - SCOPUS:85015026977
T3 - Proceedings of 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017
SP - 229
EP - 234
BT - Proceedings of 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017
Y2 - 5 January 2017 through 6 January 2017
ER -