Moving-target defense mechanisms against source-selective jamming attacks in tactical cognitive radio MANETs

Marttinen, Aleksi; Wyglinski, Alexander M.; Jäntti, Riku

doi:10.1109/cns.2014.6997460

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…To defend against side-channel attacks, Azab and Eltoweissy [32] migrated cloud tenants' applications between different hosts. To defend against jamming attacks, Marttinen et al [33] adopted an approach in which the source MAC address depends on the frame destination and only the receiver knows how to encode the source address. Regarding buffer overflow attacks, Boyd et al [20] prevented code-injection attacks by randomizing the underlying system's instructions, causing the foreign code to fail to execute correctly.…”

Section: A Mtd Technologymentioning

confidence: 99%

Efficient Strategy Selection for Moving Target Defense Under Multiple Attacks

et al. 2019

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In a real network environment, multiple types of attacks can occur. The more important the service or network, the more attacks it may suffer simultaneously. Moving target defense (MTD) technology is a revolutionary game-changing cyberspace technology that has found various applications in recent years. However, the existing strategies are targeted at defending against specific types of attacks and do not meet the security requirements for multiple attacks. Therefore, we propose a joint defense strategy based on the MTD that can select one or multiple mutant elements to defend against different types of attacks. In addition, we use the analytic hierarchy process (AHP) to quantify the factors affecting the attack and defense costs. After comprehensively analyzing the effects of the different MTD technologies against different attacks, we propose an efficient strategy selection algorithm based on joint defense. Finally, we conduct experiments to evaluate the selection of a joint defense strategy under multiple attacks. The experimental results demonstrate the feasibility and effectiveness of the proposed joint defense strategy selection approach. INDEX TERMS Moving target defense, efficient defensive strategy selection, multiple attack, joint defense, genetic algorithm.

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Section: A Mtd Technologymentioning

confidence: 99%

Efficient Strategy Selection for Moving Target Defense Under Multiple Attacks

et al. 2019

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“…A scheme for the routing protocol AODV is proposed to detect and remove Gray Hole and Black Hole Attacks [8]. In this scheme, the intermediate node detects the malicious node sending false routing information by calculating a PEAK value, where the PEAK value is the maximum possible value of the sequence number that any RREP can have in the current state [9].…”

Section: Introductionmentioning

confidence: 99%

Consensus Based Algorithm to Detecting Malicious Nodes in Mobile Adhoc Network

Sathishkumar¹,

Dhinesh²,

Kathirresh³

2017

IJERT

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A wireless network is nothing but a group of nodes that transmit the data from one place to the other, the transmission takes place with the help of ad-hoc network. The network is temporary and dynamic so that the network do not have any security and are vulnerable to attacks at high possible conditions. That attacked nodes are called malicious nodes these nodes act as a selfish nodes which does not pass the data and which results in the decrease of performance. In order to increase the performance the malicious node is detected using the AODV routing protocol and in order prevent the attack, the consensus algorithm is used to prevent the data from getting attacked .In this paper we survey innovated techniques to detect Selfish nodes for MANET. Finally we provide some directions for further research.

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“…The second reconfiguration is to be applied at the physical layer by changing the node's firmware. In [6], the authors use MTD to defend against selective jamming attacks. This work studies the problem of isolating a subset of the network by jamming the signals sent from this sub-network.…”

Section: Introductionmentioning

confidence: 99%

“…This work studies the problem of isolating a subset of the network by jamming the signals sent from this sub-network. The work in [6] also provides practical MTD solutions such as address flipping and random address assignment. The use of software defined networking in applying MTD was discussed in [7].…”

Section: Introductionmentioning

confidence: 99%

Single controller stochastic games for optimized moving target defense

Eldosouky¹,

Saad²,

Niyato³

2016

2016 IEEE International Conference on Communications (ICC)

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Moving target defense (MTD) techniques that enable a system to randomize its configuration to thwart prospective attacks are an effective security solution for tomorrow's wireless networks. However, there is a lack of analytical techniques that enable one to quantify the benefits and tradeoffs of MTDs. In this paper, a novel approach for implementing MTD techniques that can be used to randomize cryptographic techniques and keys in wireless networks is proposed. In particular, the problem is formulated as a stochastic game in which a base station (BS), acting as a defender seeks to strategically change its cryptographic techniques and keys in an effort to deter an attacker that is trying to eavesdrop on the data. The game is shown to exhibit a single-controller property in which only one player, the defender, controls the state of the game. For this game, the existence and properties of the Nash equilibrium are studied, in the presence of a defense cost for using MTD. Then, a practical algorithm for deriving the equilibrium MTD strategies is derived. Simulation results show that the proposed game-theoretic MTD framework can significantly improve the overall utility of the defender, while enabling effective randomization over cryptographic techniques.

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Moving-target defense mechanisms against source-selective jamming attacks in tactical cognitive radio MANETs

Cited by 8 publications

References 13 publications

Efficient Strategy Selection for Moving Target Defense Under Multiple Attacks

Efficient Strategy Selection for Moving Target Defense Under Multiple Attacks

Consensus Based Algorithm to Detecting Malicious Nodes in Mobile Adhoc Network

Single controller stochastic games for optimized moving target defense

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