Mimic Encryption System for Network Security

Li, Bin; Zhou, Qinglei; Si, Xueming; Fu, Jianhua

doi:10.1109/access.2018.2869174

Cited by 10 publications

(10 citation statements)

References 25 publications

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“…9(d) and 9(e), both SDR and SDF of Loose-T and Tight-T are 0 under any scenarios, which is no degradation occurs. The reason is that when the methods set parameter T , the equation (13) ensures that the period is not lower than the degradation limit. This reveals that ''a stable scheduling sequence is easy to obtain according to the scheduling over-head,'' which is stated in §II-A-2.…”

Section: B Results and Analysis 1) The Impact Of Attack Scenariosmentioning

confidence: 99%

“…10(a) and 10(b), All algorithms except Loose-S have a rise in both SRR and ARD. Among them, the rise of Loose-T is the most significant, due to the setting increase of T Loose by equation (13) with to. The other Tight-T, Tight-S and Sliding Window perform similarly in ARD, but the SRR of Sliding Window rises more slowly, revealing its much security.…”

Section: ) the Impact Of Scheduling Overheadmentioning

confidence: 99%

“…9(c). For this, the reason is that the T setting in equation (13) is influenced by the increase of to, as shown in Table 2. Fig.…”

Section: ) the Impact Of Scheduling Overheadmentioning

confidence: 99%

“…In general, through the working flow above, the DHR structure can protect operational services from any attacks based on vulnerabilities or backdoors. At present, the theory has been studied and applied in SDN [9]- [11], Web [12], encryption system [13], cloud [14] and other fields [15]- [17], having verified the effectiveness of its security mechanism.…”

Section: Introductionmentioning

confidence: 99%

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Scheduling Sequence Control Method Based on Sliding Window in Cyberspace Mimic Defense

Guo

Zhang

et al. 2020

IEEE Access

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Cyberspace Mimic Defense (CMD) is a proactive defense theory proposed in recent years to deal with vulnerability and backdoor threats that are common in information systems. Different from moving target defense (MTD), CMD can obtain foundation by verifying multiple results from isolated, heterogeneous, and parallel running spaces, thus initiating a more targeted defensive action, such as scheduling and structure transformation. However, scheduling sequence control is a severe problem in this process, which needs to select a series of scheduling time and take into account security, efficiency, and robustness for variable attack situations. Inspired by the traffic and congestion control mechanism in computer networks, this paper proposed a sliding window-based scheduling sequence control method. By setting driver events to trigger the window ''sliding,'' the control parameters update and adapt to the current state accordingly. Then, considering internal resource constraints and external attack situations, a two-factor driver on variable period and exception threshold with their corresponding calculations are specified. Evaluations show that this method can maintain good performance under different scenarios, which proves to be an effective solution for scheduling sequence control in CMD.

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Section: B Results and Analysis 1) The Impact Of Attack Scenariosmentioning

confidence: 99%

Section: ) the Impact Of Scheduling Overheadmentioning

confidence: 99%

“…9(c). For this, the reason is that the T setting in equation (13) is influenced by the increase of to, as shown in Table 2. Fig.…”

Section: ) the Impact Of Scheduling Overheadmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Scheduling Sequence Control Method Based on Sliding Window in Cyberspace Mimic Defense

Guo

Zhang

et al. 2020

IEEE Access

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“…To solve these problems, inspired by the mimic phenomena in the natural world, Wu et al [28] proposed a novel theory called Mimic Defense (MD). Combing "dynamic, heterogeneity and redundancy (DHR)" mechanism, MD has been applied in many fields such as Software Defined Networking (SDN) [29], encryption [30] and cloud [31]. Generally, MD includes dynamic scheduling algorithm and voting algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Novel Model of Mimic Defense Based on Minimal L-Order Error Probability

et al. 2020

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Mimic defense is an active defense theory, which aims to fundamentally change the "easy to attack and difficult to defend" situation of network security. In this paper, we propose an evaluation method based on the minimum probability of successful attack, and improve the evaluation scheme of historical confidence. We combine the two evaluation schemes with the TOPSIS (technique for order performance by similarity to ideal solution) algorithm, and finally form a complete heterogeneous variant dynamic scheduling model. Different from traditional multi-mode voting algorithm, the effect of heterogeneous degree in voting is considered, and we use Bayesian estimation to obtain the optimal result in the probabilistic sense. Finally, simulation results show that the proposed algorithm can effectively enhance the dynamic and security of the mimic defense model, and give full play to the characteristics of mimic defense.

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Symmetric key and polynomial-based key generation mechanism for secured data communications in 5G networks

Pradeep,

Muthurajkumar,

Ganapathy

et al. 2024

Soft Comput

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Fifth Generation (5G) networks provide data communications through various latest technologies including Software Defined Network (SDN), Artificial Intelligence, Machine Learning and Cloud Computing. In 5G, secure data communication is a challenging issue due to the presence of enormous volume of users including malicious users communicating with latest technologies and also based their own requirements. In such a scenario, fuzzy rules and cryptographic techniques can play a major role in providing security to the data which are either communicated through the network or stored in network based databases including distributed databases and cloud databases with cloud networks. Therefore, new and efficient mechanisms for generation and exchange of keys are necessary since they are the most important component of cryptographic methods. Since most of the existing key generation techniques are focusing on 3Gand 4G networks, new key generation methods that can be generalized to n-th order polynomials are necessary to suit the security requirements of 5G networks which is smart by using rules from Artificial Intelligence. This paper proposes a new key generation and encryption/decryption mechanism which is based on both symmetric key cryptography and polynomial operations for providing effective security on data communication in 5G networks. In this work, we introduce the usage of fuzzy rules and Binomial Theorem (Pascal triangle) technique for performing the data encryption process more efficiently since it is not used in any of the existing cryptographic algorithms. Moreover, two different polynomial equations, one of degree three and another of degree two are used in the proposed work for effective key generation. Here, we have applied differential calculus for finding the second-degree polynomial. In the decryption part of the proposed mechanism, n th root operation is applied which is able to reduce the number of steps used in a single mode operation. The experimental results of the proposed work proved that the proposed security model with fuzzy rule-based approach is better than other related systems that are available in the literature in terms of reduction in computational complexity and increase in security.

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Mimic Encryption System for Network Security

Cited by 10 publications

References 25 publications

Scheduling Sequence Control Method Based on Sliding Window in Cyberspace Mimic Defense

Scheduling Sequence Control Method Based on Sliding Window in Cyberspace Mimic Defense

A Novel Model of Mimic Defense Based on Minimal L-Order Error Probability

Symmetric key and polynomial-based key generation mechanism for secured data communications in 5G networks

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