TY - GEN
T1 - A Pilot Study in Software-Defined Networking Using Wireshark for Analyzing Network Parameters to Detect DDoS Attacks
AU - Varghese, Josy Elsa
AU - Muniyal, Balachandra
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - The relevance of flooding attacks is increasing day by day. The incongruity between network capabilities and market requirements lead to the development of novel network architecture named software-defined networking (SDN). SDN architecture drastically shifted the pace of networking environment from hardware to software, which provides a manageable, cost-effective, dynamic, and adaptable nature for today’s applications. The role of SDN in security application by collecting network information and designing framework for detecting attacks is incredible. A case study is conducted in the SDN environment for the real-time scenario to analyze the network statistics of both normal and attack scenarios. The network traffics are analyzed and its graphical interpretation is explained for parameters like round trip time, window size, throughput, and window scaling. This helps to understand the significance of network parameters and its responsiveness corresponding to both scenarios to detect DDoS attacks. This preliminary study concluded with the design of a high-level conceptual model for DDoS detection in the SDN environment.
AB - The relevance of flooding attacks is increasing day by day. The incongruity between network capabilities and market requirements lead to the development of novel network architecture named software-defined networking (SDN). SDN architecture drastically shifted the pace of networking environment from hardware to software, which provides a manageable, cost-effective, dynamic, and adaptable nature for today’s applications. The role of SDN in security application by collecting network information and designing framework for detecting attacks is incredible. A case study is conducted in the SDN environment for the real-time scenario to analyze the network statistics of both normal and attack scenarios. The network traffics are analyzed and its graphical interpretation is explained for parameters like round trip time, window size, throughput, and window scaling. This helps to understand the significance of network parameters and its responsiveness corresponding to both scenarios to detect DDoS attacks. This preliminary study concluded with the design of a high-level conceptual model for DDoS detection in the SDN environment.
UR - https://www.scopus.com/pages/publications/85112234001
UR - https://www.scopus.com/inward/citedby.url?scp=85112234001&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-0882-7_41
DO - 10.1007/978-981-16-0882-7_41
M3 - Conference contribution
AN - SCOPUS:85112234001
SN - 9789811608810
T3 - Lecture Notes in Networks and Systems
SP - 475
EP - 487
BT - Information and Communication Technology for Competitive Strategies, ICTCS 2020 - Intelligent Strategies for ICT
A2 - Kaiser, M. Shamim
A2 - Xie, Juanying
A2 - Rathore, Vijay Singh
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2020
Y2 - 11 December 2020 through 12 December 2020
ER -