Secure Communication between Network Applications and Controller in Software Defined Network

2019 ◽  
Author(s):  
Aliyu Lawal Aliyu ◽  
Adel Aneiba ◽  
Mohammad Patwary
Keyword(s):  
Secure Communication ◽  
Software Defined Network ◽  
Network Applications

scholarly journals Framework for Access Policy for Boosting Secure Communication at SDN in FIA

2020 ◽  
Vol 9 (4) ◽  
pp. 1462-1468
Keyword(s):  
Secure Communication ◽  
Cost Effective ◽  
Future Internet ◽  
Communication Overhead ◽  
Security Threats ◽  
Software Defined Network ◽  
Internet Architecture ◽  
Future Internet Architecture ◽  
Access Policy ◽  
Communication Devices

The future internet architecture is considered as a revolutionary paradigm of network owing to its capability of extensive connectivity of various forms of computing as well as communication devices. For the purpose of establishing a connection, there are various forms of protocols associated with communication defined for network and physical layer. Unfortunately, they are not benchmarked by any authorized regularity. Therefore, these forms of networks are exposed to a significantly higher level of security threats. Cross-Scripting Attack is one such rising security concern for future internet architecture that is found very less investigated in existing times. Hence, in this aspect, the software-defined network could offer a significant security solution on the top of future internet architecture. It could offer a good balance of security and reduced communication overhead as the controller can undertake a decision about the communication route that is cost-effective as well as secured. This paper highlights a discussion about a novel access control protocol that monitors and evaluates all the incoming traffic and offers an identification process for potential threats over the switching mechanism of the software-defined network. The proposed study doesn’t make use of any form of conventional encryption mechanism and uses a middleware system in order to assess the severity of the attack. Upon identification, the adversaries are isolated from the targeted traffic safeguarding the network from a cross-scripting attack.

OpenFlow Based Load Balancing for Software-Defined Network Applications

2018 ◽  
Vol 24 (2) ◽  
pp. 1210-1213 ◽  
Author(s):  
S. A. Mohamad Rofie ◽  
I Ramli ◽  
K. N Redzwan ◽  
S. M. Mohd Hassan ◽  
M. S. B Ibrahim
Keyword(s):  
Load Balancing ◽  
Software Defined Network ◽  
Network Applications

A trust management framework for Software Defined Network (SDN) controller and network applications

2020 ◽  
Vol 181 ◽  
pp. 107421
Author(s):  
Aliyu Lawal Aliyu ◽  
Adel Aneiba ◽  
Mohammad Patwary ◽  
Peter Bull
Keyword(s):  
Trust Management ◽  
Software Defined Network ◽  
Management Framework ◽  
Network Applications ◽  
Sdn Controller

scholarly journals Application-Based Online Traffic Classification with Deep Learning Models on SDN Networks

2020 ◽  
Author(s):  
Lin-Huang Chang ◽  
Tsung-Han Lee ◽  
Hung-Chi Chu ◽  
Cheng-Wei Su
Keyword(s):  
Deep Learning ◽  
Traffic Classification ◽  
Software Defined Network ◽  
Learning Models ◽  
Learning Mechanisms ◽  
Network Applications ◽  
Performance Analyses ◽  
Online Traffic ◽  
Deep Learning Model ◽  
Sdn Controller

The traffic classification based on the network applications is one important issue for network management. In this paper, we propose an application-based online and offline traffic classification, based on deep learning mechanisms, over software-defined network (SDN) testbed. The designed deep learning model, resigned in the SDN controller, consists of multilayer perceptron (MLP), convolutional neural network (CNN), and Stacked Auto-Encoder (SAE), in the SDN testbed. We employ an open network traffic dataset with seven most popular applications as the deep learning training and testing datasets. By using the TCPreplay tool, the dataset traffic samples are re-produced and analyzed in our SDN testbed to emulate the online traffic service. The performance analyses, in terms of accuracy, precision, recall, and F1 indicators, are conducted and compared with three deep learning models.

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

Security in Smart Healthcare System: A Comprehensive Survey

2017 ◽  
Vol 7 (10) ◽  
pp. 39
Author(s):  
P. Jeyadurga ◽  
S. Ebenezer Juliet ◽  
I. Joshua Selwyn ◽  
P. Sivanisha
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Healthcare Systems ◽  
Internet Security ◽  
Security Risk ◽  
System A ◽  
Smart Healthcare ◽  
Comprehensive Survey ◽  
Healthcare Monitoring ◽  
The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

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