Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices

Desnitsky, Vasily; Kotenko, Igor; Заколдаев, Д А

doi:10.3390/electronics8050500

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…However, this mitigation scheme can handle only a minimal number of insider adversaries, improving network performance to a marginal degree. Desnitsky et al 15 proposed a vampire mitigation model that explored the applicability conditions of energy resource exhaustion based on multiple factors of influence. This model computed the performance indicators and derived the possibilities that hurdle the deployment of nodes in the area of application.…”

Section: Related Workmentioning

confidence: 99%

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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The sensor nodes comprising sensing devices, small processing units, and battery, cooperate in wireless sensor networks (WSNs) for gathering potential factors that aids in achieving significant decision‐making processes in deployed applications. WSNs are vulnerable to security threats due to their open nature, availability characteristics, and lack of energy, resulting in a diversified number of security attacks. Among the security attacks, vampire attack is the serious threat as they drain the energy of nodes, which in turn crumbles the network lifetime and energy stability in WSNs. In this article, Bi‐Polar Information‐Based Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)‐based outranking scheme is proposed for detecting and isolating vampire attacks to improve throughput with minimized energy consumptions and delay for prolonging lifetime. This proposed BPFI‐POR scheme used bipolar information that facilitates an asymmetrical association between two decision making factors that influences the discrimination and selection of genuine nodes from vampire nodes during the routing process. It aids in characterizing precise and vague information through bipolar fuzzy linguistic terms that has the maximized probability of being represented as trapezoidal bipolar fuzzy numbers. It estimated the cooperation of intermediate sensor nodes' based on trapezoidal bipolar fuzzy numbers for determining their preference or selection using criteria that could be influenced during the routing process. It also used the ranking function for accessing the alternatives through crisp real preferences with entropy weighting information responsible for attributes weight computation. The simulation results of the BPFI‐POR scheme confirmed better throughput, detection time with minimized energy consumptions and latency on par with the competitive algorithms.

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Section: Related Workmentioning

confidence: 99%

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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“…All of these types of attack can be applied against a target from the lower part of a cyber physical infrastructure [70,71] to the higher one, and can be performed during the transmission, storage, runtime, as well as during manufacturing or supply of information. In Figure 3, we show the structure for this simple manipulation techniques classification.…”

Section: Manipulationmentioning

confidence: 99%

CNA Tactics and Techniques: A Structure Proposal

Villalón-Huerta

Ripoll

Marco-Gisbert

2021

JSAN

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Destructive and control operations are today a major threat for cyber physical systems. These operations, known as Computer Network Attack (CNA), and usually linked to state-sponsored actors, are much less analyzed than Computer Network Exploitation activities (CNE), those related to intelligence gathering. While in CNE operations the main tactics and techniques are defined and well structured, in CNA there is a lack of such consensuated approaches. This situation hinders the modeling of threat actors, which prevents an accurate definition of control to identify and to neutralize malicious activities. In this paper, we propose the first global approach for CNA operations that can be used to map real-world activities. The proposal significantly reduces the amount of effort need to identify, analyze, and neutralize advanced threat actors targeting cyber physical systems. It follows a logical structure that can be easy to expand and adapt.

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“…However, an increase in the number of data processing locations will increase the attack surface proportionately [2]. Edge devices are generally used with limited resources [3], and the limited resources of the IoT poses a serious security threat as energy exhaustion and flood attacks, as well as various types of related intrusions have been described [4][5][6][7][8][9]. In addition, limited computing power and storage size and low battery capacity prevent IoT devices from executing conventional actions to support network security [10].…”

Section: Introductionmentioning

confidence: 99%

On the Suitability of Intrusion Detection System for Wireless Edge Networks

2021

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Multi-access edge computing has become a strategic concept of the Internet of Things. The edge computing market has reached USD several billion and is growing intensively. In the edge-computing paradigm, most of the data is processed close to, or at the edge of, the network. This greatly reduces the computation and communication load of the network core. Moreover, edge computing provides better support for user privacy. On the other hand, an increase in data processing locations will proportionately increase the attack surface. An edge node can be put out of service easily by being flooded with spoofed packets owing to limited capacities and resources. Furthermore, wireless edge nodes are quite vulnerable to energy exhaustion attacks. In this situation, traditional network security mechanisms cannot be used effectively. Therefore, a tradeoff between security and efficiency is needed. This study considered the requirements under which the use of an intrusion detection system (IDS) is justified. To the best of our knowledge, this is a first attempt to combine IDS quality, system performance degradation due to IDS operations, and workload specificity into a unified quantitative criterion. This paper is an extended version of a report published in the proceedings of the ICCSA 2020 and differs from it in many ways. In particular, this paper considers novel mathematical problems regarding the deployment strategies for an IDS and the corresponding inverse problems and provides closed-form solutions for a few previously unsolved problems.

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Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices

Cited by 6 publications

References 25 publications

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

CNA Tactics and Techniques: A Structure Proposal

On the Suitability of Intrusion Detection System for Wireless Edge Networks

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