Resource Allocation in Topology Management of Asymmetric Interference Networks

Zhang, Xinyu; Zhao, Nan; Yu, F. Richard; Jin, Minglu; Leung, Victor C. M.

doi:10.1109/jsyst.2016.2562139

Cited by 8 publications

(2 citation statements)

References 39 publications

(52 reference statements)

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“…For instance, He et al proposes an integrated framework consists of SDN and edge computing application, which can enable dynamic orchestration of networking, caching, and computing resources to improve the performance of applications for smart cities. The topology creation and topology management at controller is 1 of the key function in SDN for efficient networking. However, the decoupling of control and data planes also opens SDN to various security attacks such as DDoS, packet injection, and topology discovery attacks, thus limits the applications of SDN.…”

Section: Related Workmentioning

confidence: 99%

TILAK: A token‐based prevention approach for topology discovery threats in SDN

Nehra

Tripathi

Gaur

et al. 2018

Int J Communication

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Software-defined networks (SDNs) decouple the data plane from the control plane. Thus, it provides logically centralized visibility of the entire networking infrastructure to the controller. It enables the applications running on top of the control plane to innovate through network management and programmability. To envision the centralized control and visibility, the controller needs to discover the networking topology of the entire SDN infrastructure. However, discovering and maintaining a global view of the underlying network topology is a challenging task because of (i) frequently changing network topology caused by migration of the virtual machines in the data centers, mobile, end hosts and change in the number of data plane switches because of technical faults or network upgrade; (ii) lack of authentication mechanisms and scarcity in SDN standards; and (iii) availability of security solutions during topology discovery process. To this end, the aim of this paper is threefold. First, we investigate the working methodologies used to achieve global view by different SDN controllers, specifically, POX, Ryu, OpenDaylight, Floodlight, Beacon, ONOS, and HPEVAN. Second, we identify vulnerabilities that affect the topology discovery process in the above controller implementation. In particular, we provide a detailed analysis of the threats namely link layer discovery protocol (LLDP) poisoning, LLDP flooding, and LLDP replay attack concerning these controllers. Finally, to countermeasure the identified risks, we propose a novel mechanism called TILAK which generates random MAC destination addresses for LLDP packets and use this randomness to create a flow entry for the LLDP packets. It is a periodic process to prevent LLDP packet-based attacks that are caused only because of lack of verification of source authentication and integrity of LLDP packets. The implementation results for TILAK confirm that it covers targeted threats with lower resource penalty. KEYWORDSflooding, link layer discovery protocol (LLDP), replay attack, route poisoning, software-defined networking (SDN), topology discovery

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Section: Related Workmentioning

confidence: 99%

TILAK: A token‐based prevention approach for topology discovery threats in SDN

Nehra

Tripathi

Gaur

et al. 2018

Int J Communication

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“…A research related of asymmetric interference is published recently. Authors studied the antenna selection and power allocation techniques to further improve the performance of topology management in asymmetric interference networks in [24]. Another recent work [25] is about the interference align and they proposed a spectrum-efficient topology management scheme to interference align in asymmetric networks.…”

Section: Related Workmentioning

confidence: 99%

Opportunistic Spectrum Access with Dynamic Users: Directional Graphical Game and Stochastic Learning

2017

KSII TIIS

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This paper investigates the channel selection problem with dynamic users and the asymmetric interference relation in distributed opportunistic spectrum access systems. Since users transmitting data are based on their traffic demands, they dynamically compete for the channel occupation. Moreover, the heterogeneous interference range leads to asymmetric interference relation. The dynamic users and asymmetric interference relation bring about new challenges such as dynamic random systems and poor fairness. In this article, we will focus on maximizing the tradeoff between the achievable utility and access cost of each user, formulate the channel selection problem as a directional graphical game and prove it as an exact potential game presenting at least one pure Nash equilibrium point. We show that the best NE point maximizes both the personal and system utility, and employ the stochastic learning approach algorithm for achieving the best NE point. Simulation results show that the algorithm converges, presents near-optimal performance and good fairness, and the directional graphical model improves the systems throughput performance in different asymmetric level systems.

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