Preventing Data Leakage and Traffic Optimization in Software-Defined Programmable Networks
- Title
- Preventing Data Leakage and Traffic Optimization in Software-Defined Programmable Networks
- Creator
- Reddy Vanga S.; Babu G.; Kumar V.K.A.; Aurelia S.; Sreedhar B.; Majji S.
- Description
- The first widely used communication infrastructure was the telephone network, often known as a connection-oriented or circuit-switched network. While making a phone call, these networks will first set up a connection, and then tear it down after the call has ended. The connection made during the call would not be used again. Thus, connectionless or packet-switched networks have been introduced, with an aim to send voice signals as data packets. When compared to conventional network architecture, SDN's separation of the data plane and control plane of networking devices makes the management of these devices directly programmable via a centralised controller. It uses a MAS-based distributed architecture to categorise network flows, and it's called the Traffic Classification Module. Each host or server's high-priority application traffic is isolated via Deep Packet Inspection (DPI). The time consumed for a packet to travel from one endpoint to another is referred to as the average packet delay, whereas the controller's reaction time is twice the average packet delay. Few works existed that utilised routing strategies to decrease the typical packet delay in SDN. To reduce the controller's response time, Software-Defined Networks (SDNs) need a routing algorithm that reduces the average packet delay. Each of the proposed modules and the whole combined SDN-MASTE framework were put through their paces in a series of experiments and emulation-based tests to see how well they performed. 2023 IEEE.
- Source
- International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, pp. 632-635.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Data Leakage; Deep packet inspection; Software Define Network; Traffic classification
- Coverage
- Reddy Vanga S., Velagapudi Ramakrishna Siddhartha Engineering College, Ece Department, Vijayawada, India; Babu G., Srm Easwari Engineering College, Department of Bio-Medical, Engineering, Chennai, India; Kumar V.K.A., Institute of Aeronautical Engineering, Department of Ece, Hyderabad, India; Aurelia S., Christ University, Department of Computer Science, Bangalore, India; Sreedhar B., Koneru Lakshmaiah Education Foundation, Dept of Cse, Vaddeswaram, India; Majji S., Griet, Department of Ece, Hyderabad, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835039720-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Reddy Vanga S.; Babu G.; Kumar V.K.A.; Aurelia S.; Sreedhar B.; Majji S., “Preventing Data Leakage and Traffic Optimization in Software-Defined Programmable Networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 29, 2025, https://archives.christuniversity.in/items/show/19973.