Cryptography in Wireless Multimedia Sensor Networks: A Survey and Research Directions

Costa, Daniel G.; Figuerêdo, Solenir; Oliveira, Gledson Tavares Amorim

doi:10.3390/cryptography1010004

Cited by 42 publications

(21 citation statements)

References 83 publications

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“…The authors in the baseline protocol presented in Costa et al claimed that their scheme is secured against various attacks like user anonymity, perfect forward secrecy, and stolen smartcard. However, after a thorough analysis, it has been observed that this protocol has some flaws shown in the cryptanalysis of the baseline protocol in the followin subsection.…”

Section: Cryptanalysis Of Baseline Protocolmentioning

confidence: 99%

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

Ghani

Mansoor

Mehmood

et al. 2019

Int J Communication

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Wireless sensor networks (WSN) consist of hundreds of miniature sensor nodes to sense various events in the surrounding environment and report back to the base station. Sensor networks are at the base of internet of things (IoT) and smart computing applications where a function is performed as a result of sensed event or information. However, in resource-limited WSN authenticating a remote user is a vital security concern. Recently, researchers put forth various authentication protocols to address different security issues. Gope et al presented a protocol claiming resistance against known attacks. A thorough analysis of their protocol shows that it is vulnerable to user traceability, stolen verifier, and denial of service (DoS) attacks. In this article, an enhanced symmetric key-based authentication protocol for IoT-based WSN has been presented. The proposed protocol has the ability to counter user traceability, stolen verifier, and DoS attacks. Furthermore, the proposed protocol has been simulated and verified using Proverif and BAN logic. The proposed protocol has the same communication cost as the baseline protocol; however, in computation cost, it has 52.63% efficiency as compared with the baseline protocol.

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Section: Cryptanalysis Of Baseline Protocolmentioning

confidence: 99%

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

Ghani

Mansoor

Mehmood

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The paper focuses on security measures that can be applied in image processing despite the limited resources available at the sensor nodes. Furthermore, there are several works which present solutions to combat specific security issues in VSNs [ 33 , 34 , 35 ]. These include, i.e., watermarking of images, aggregation and comparison of multimedia data from different nodes and cryptography to secure the transmission of images.…”

Section: Related Workmentioning

confidence: 99%

A Generalized Threat Model for Visual Sensor Networks

Simonjan

Taurer

Dieber

2020

Sensors

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Today, visual sensor networks (VSNs) are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. A major concern in the use of sensor networks in general is their reliability in the presence of security threats and cyberattacks. Compared to traditional networks, sensor networks typically face numerous additional vulnerabilities due to the dynamic and distributed network topology, the resource constrained nodes, the potentially large network scale and the lack of global network knowledge. These vulnerabilities allow attackers to launch more severe and complicated attacks. Since the state-of-the-art is lacking studies on vulnerabilities in VSNs, a thorough investigation of attacks that can be launched against VSNs is required. This paper presents a general threat model for the attack surfaces of visual sensor network applications and their components. The outlined threats are classified by the STRIDE taxonomy and their weaknesses are classified using CWE, a common taxonomy for security weaknesses.

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“…The threats for traditional wireless sensor networks may also occur in networks with more powerful sensor motes. Even in wireless multimedia sensor networks, an intruder may rapidly drain the energy of nodes [ 30 ]. It has been shown that mobile devices supporting IEEE 802.11 and IEEE 802.15.1 standards are vulnerable to battery exhaustion attacks [ 31 ].…”

Section: Related Workmentioning

confidence: 99%

Depletion-of-Battery Attack: Specificity, Modelling and Analysis

Shakhov

Koo

2018

Sensors

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The emerging Internet of Things (IoT) has great potential; however, the societal costs of the IoT can outweigh its benefits. To unlock IoT potential, there needs to be improvement in the security of IoT applications. There are several standardization initiatives for sensor networks, which eventually converge with the Internet of Things. As sensor-based applications are deployed, security emerges as an essential requirement. One of the critical issues of wireless sensor technology is limited sensor resources, including sensor batteries. This creates a vulnerability to battery-exhausting attacks. Rapid exhaustion of sensor battery power is not only explained by intrusions, but can also be due to random failure of embedded sensor protocols. Thus, most wireless sensor applications, without tools to defend against rash battery exhausting, would be unable to function during prescribed times. In this paper, we consider a special type of threat, in which the harm is malicious depletion of sensor battery power. In contrast to the traditional denial-of-service attack, quality of service under the considered attack is not necessarily degraded. Moreover, the quality of service can increase up to the moment of the sensor set crashes. We argue that this is a distinguishing type of attack. Hence, the application of a traditional defense mechanism against this threat is not always possible. Therefore, effective methods should be developed to counter the threat. We first discuss the feasibility of rash depletion of battery power. Next, we propose a model for evaluation of energy consumption when under attack. Finally, a technique to counter the attack is discussed.

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Cryptography in Wireless Multimedia Sensor Networks: A Survey and Research Directions

Cited by 42 publications

References 83 publications

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

Security and key management in IoT‐based wireless sensor networks: An authentication protocol using symmetric key

A Generalized Threat Model for Visual Sensor Networks

Depletion-of-Battery Attack: Specificity, Modelling and Analysis

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