Security Challenges and Opportunities of Software-Defined Networking

Daciér, Marc; König, Hartmut; Cwalinski, Radoslaw; Kargl, Frank; Dietrich, Suzanne W.

doi:10.1109/msp.2017.46

Cited by 91 publications

(41 citation statements)

References 4 publications

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“…There are attackers seeking information from the traffic of internet-based systems such as personal bio-data, business logic details, credentials etc. The open nature of the interface of SDN can make it prone to a host of attacks on applications, IoT devices and infrastructure [24] and [25]. Taxation systems involving Big Data can be hosted on cloud platforms since it handles data processing, resource management and analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Cutting-Edge Internet Technology to the Improvement of Revenue Generation Using Cyber-Security

Joseph¹,

Udeze²,

Bukie³

et al. 2019

Preprint

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The need for the most accurate and flexible system of revenue collection from internal sources has become a matter of extreme urgency and importance in e-governance. This need underscores the eagerness on the part of the Government to look for a new principle and policy of revenue collection or to become aggressive and innovative in the mode of collecting revenue from existing sources using the present system. The Boards of some Governments in Africa, even up to the moment are facing a lot of setbacks in performing their tasks due to the manual system of revenue collection from the public. This can be improved through an effective collection of revenue using the most accurate and flexible system. Tax is usually collected in the form of specific sales tax, general sales tax, corporate income tax, individual income tax, property tax and inheritance tax. Problems such as high cost of collection, fraud, underpayment, leakage in revenue, poor access to information, poor tracking of defaulters is at the increase. As a result of this, there is need to computerize the revenue collection system. Computerized systems have proven to introduce massive efficiencies and quick collection of revenue from the public. This research work demonstrates how to design and implement an automated system of revenue collection and how to maintain a secured database for collected tax information. This research delves into the study of how machine learning algorithms and Software-defined Networks improve the security of such automated systems.

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Section: Literature Reviewmentioning

confidence: 99%

Implementation of Cutting-Edge Internet Technology to the Improvement of Revenue Generation Using Cyber-Security

Joseph¹,

Udeze²,

Bukie³

et al. 2019

Preprint

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“…The choice of TTE as a backbone is due to the fact that it outperforms industrial automotive technologies such as Flex Ray [21] in terms of real time requirements, flexibility, and resiliency. The Open Flow switches are connected to the SDN controller which also runs additional Figure 4: Fast Failover Group Elements applications related to, for example, resiliency [20], load balancing [2], QoS [26], security [5], etc. The process of generating data by an ECU includes re-packing it into an Ethernet frame by the adapter, processing it through the SDN backbone, subjecting it to the Open Flow rules within SDN switches, and delivering it to the destination ECUs.…”

Section: Sdivn Design Elementsmentioning

confidence: 99%

Robust Safety for Autonomous Vehicles through Reconfigurable Networking

Halba

Mahmoudi

Griffor

2018

Electron. Proc. Theor. Comput. Sci.

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Autonomous vehicles bring the promise of enhancing the consumer's experience in terms of comfort and convenience and, in particular, the safety of the autonomous vehicle. Safety functions in autonomous vehicles such as Automatic Emergency Braking and Lane Centering Assist rely on computation, information sharing, and the timely actuation of the safety functions. One opportunity to achieve robust autonomous vehicle safety is by enhancing the robustness of in-vehicle networking architectures that support built-in resiliency mechanisms. Software Defined Networking (SDN) is an advanced networking paradigm that allows fine-grained manipulation of routing tables and routing engines and the implementation of complex features such as failover, which is a mechanism of protecting in-vehicle networks from failure, and in which a standby link automatically takes over once the main link fails. In this paper, we leverage SDN network programmability features to enable resiliency in the autonomous vehicle realm. We demonstrate that a Software Defined In-Vehicle Networking (SDIVN) does not add overhead compared to Legacy In-Vehicle Networks (LIVNs) under non-failure conditions and we highlight its superiority in the case of a link failure and its timely delivery of messages. We verify the proposed architectures benefits using a simulation environment that we have developed and we validate our design choices through testing and simulations.

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“…SDN 网络分层思想在方便控制器监控和调度网络流量的同时, 也带来了许多安全问题. 由于控制器逻辑上集中的特性以及接口的开放性会产生针对控制器的新一轮攻击 [47] , 例如对控制器进行 DDoS 攻击消耗控制器资源, 恶意占用整个 SDN 网络带宽等行为都将导致 SDN 网络瘫痪. 而现有的 SDN 被动测量方法灵活性不足, 无法适用流量波动较大的网络状态, 限制了发现及分析网络异常流量的能力 [48] .…”

Section: 研究方向与挑战unclassified