On Secure Wireless Communications for IoT Under Eavesdropper Collusion

Zhang, Yuanyu; Shen, Yulong; Wang, Hua; Yong, Jianming; Jiang, Xiaohong

doi:10.1109/tase.2015.2497663

Cited by 121 publications

(62 citation statements)

References 34 publications

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“…In this atmosphere network executives cannot control the security approaches in which they merely get rid of the low hanging fruit of security vulnerabilities hoping that attackers would quickly move on to the next easy target [19] [20] 1) Intruder Attack: This type of attack is generally made on assumption. An intruder which is result the system and which can interrupt all communication ever communicated among IoT strategies and centers.…”

Section: Security Threats In Internet Of Thingsmentioning

confidence: 99%

An Efficient Approach for the Security Threats on Data Centers in IOT Environment

Alshammari¹

2017

ijacsa

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Abstract-Internet of Things has progressed from the conjunction of wireless knowledge, MEMS which is termed as micro electromechanical systems, micro facilities and the Internet. The conjunction has helped scratch down the storage walls concerning operating technology (OT) and information technology (IT), and allowing amorphous machine created data to be examined for understandings that will drive enhancements. The Things known as IOT is an arrangement of interconnected computing procedures, mechanical and digital machineries, substances or matters that are delivered with inimitable identifiers, and the ability to handover data over a system without necessitating human to humanoid, or human to computer collaboration. However, the security is one of the main concerns in Internet of things, which should be minimized. There are unnecessary requests from the attacker to overload the data center, which results in the hanging of the servers, decreasing the throughput, and requesting a transmission to the Data centers. This paper deals with an efficient approach to decrease the unwanted request at the Data Centers, so that the sessions will be reduced, and the unnecessary load will be reduced on the data centers, in order to mitigate the effect of attack as much as possible.

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Section: Security Threats In Internet Of Thingsmentioning

confidence: 99%

An Efficient Approach for the Security Threats on Data Centers in IOT Environment

Alshammari¹

2017

ijacsa

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“…From the eavesdropper's design perspective, the colluding eavesdropping scenario yields the best possible performance of illegitimate link while it represents the worst case scenario in the viewpoint of secure transmission [35]- [37]. Additionally, all Eves are assumed to be perfectly colluded where the inter-eavesdropper channels are considered error-free.…”

Section: System and Channel Modelsmentioning

confidence: 99%

Physical Layer Security With Threshold-Based Multiuser Scheduling in Multi-Antenna Wireless Networks

Yang

Guo

Huang

et al. 2016

IEEE Trans. Commun.

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“…Although the IDS has led to a number of valuable network security techniques [3,4,14,15,16,17,18,33,40,41,42], the existing solutions are limited only to static data release.…”

Section: Introductionmentioning

confidence: 99%

A novel statistical technique for intrusion detection systems

Kabir

Wang

et al. 2018

Future Generation Computer Systems

Self Cite

187

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This paper proposes a novel approach for intrusion detection system based on sampling with Least Square Support Vector Machine (LS-SVM). Decision making is performed in two stages. In the first stage, the whole dataset is divided into some predetermined arbitrary subgroups. The proposed algorithm selects representative samples from these subgroups such that the samples reflect the entire dataset. An optimum allocation scheme is developed based on the variability of the observations within the subgroups. In the second stage, least square support vector machine (LS-SVM) is applied to the extracted samples to detect intrusions. We call the proposed algorithm as optimum allocation-based least square support vector machine (OA-LS-SVM) for IDS. To demonstrate the effectiveness of the proposed method, the experiments are carried out on KDD 99 database which is considered a de facto benchmark for evaluating the performance of intrusions detection algorithm. All binary-classes and multiclass are tested and our proposed approach obtains a realistic performance in terms of accuracy and efficiency. Finally a way out is also shown the usability of the proposed algorithm for incremental datasets.

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On Secure Wireless Communications for IoT Under Eavesdropper Collusion

Cited by 121 publications

References 34 publications

An Efficient Approach for the Security Threats on Data Centers in IOT Environment

An Efficient Approach for the Security Threats on Data Centers in IOT Environment

Physical Layer Security With Threshold-Based Multiuser Scheduling in Multi-Antenna Wireless Networks

A novel statistical technique for intrusion detection systems

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