A security-aware Near Field Communication architecture

Asaduzzaman, Abu; Mazumder, Shanta; Salinas, Sergio; Mridha, M. F.

doi:10.1109/nsyss.2017.7885798

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…It still needs efforts to earn that trust. Asaduzzman et al [18] stated that NFC is suitable for IoT devices. This paper discusses the protocol for sending data in NDEF format.…”

Section: Related Workmentioning

confidence: 99%

Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

Harnaningrum¹,

Ashari²,

Putra³

2022

IJACSA

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The Near Field Communication embedded (NFCembedded) smartphone consists of two ecosystems, namely Near Field Communication Subscriber Identity Module Secure Element (NFC-SIM-SE) and Near Field Communication Host Card Emulation (NFC-HCE). NFC-SIM-SE places secure elements in smartphones, while NFC-HCE places secure elements in the cloud. In terms of security, the location of secure elements in the cloud is one of the weaknesses of NFC-HCE. The APL-SE transaction model is developed as a solution to improve transaction security with NFC-enabled mobile. This model moves the secure elements of the NFC-HCE ecosystem from the cloud to the smartphone so that when the transaction is made, the smartphone does not communicate with the outside network to access the secure element. The APL-SE transaction model is tested using dummy data to calculate the processing time measurements for each step. The model is also tested for the encryption process. The encrypted data is compared with the original data, then the randomness is calculated. This transaction model is also tested by looking at the data randomness, which shows that the encrypted data is declared random. Random data increases data security. The transaction model test shows that the transaction runs well because the encrypted data is proven random, and the execution time is 1,074 ms. The time of 1,074 ms is far below an attacker's time to decipher the encrypted data. Random and fast encryption results indicate that transactions are secure. This achievement makes the opportunity for attackers to manipulate data small, so security is increased.

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“…It still needs efforts to earn that trust. Asaduzzman et al [18] stated that NFC is suitable for IoT devices. This paper discusses the protocol for sending data in NDEF format.…”

Section: Related Workmentioning

confidence: 99%

Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

Harnaningrum¹,

Ashari²,

Putra³

2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…Alternatively, message modification is a type of active attack, where an attacker sniffs actual data from the network and pass the modified data to the receiver. Asaduzzaman et al [56] designed a protocol to offer better security over message modification attack near NFC architecture. Zhang, et al [57] describes different abnormalities in VANETs, including massage suppression attacks.…”

Section: B Man-in-the-middle Attackmentioning

confidence: 99%

Review on Security of Internet of Things Authentication Mechanism

et al. 2019

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Internet of things (IoT) is considered as a collection of heterogeneous devices, such as sensors, Radio-frequency identification (RFID) and actuators, which form a huge network, enabling non-internet components in the network to produce a better world of services, like smart home, smart city, smart transportation, and smart industries. On the other hand, security and privacy are the most important aspects of the IoT network, which includes authentication, authorization, data protection, network security, and access control. Additionally, traditional network security cannot be directly used in IoT networks due to its limitations on computational capabilities and storage capacities. Furthermore, authentication is the mainstay of the IoT network, as all components undergo an authentication process before establishing communication. Therefore, securing authentication is essential. In this paper, we have focused on IoT security particularly on their authentication mechanisms. Consequently, we highlighted enormous attacks and technical methods on the IoT authentication mechanism. Additionally, we discussed existing security verification techniques and evaluation schemes of IoT authentication. Furthermore, analysis against current existing protocols have been discussed in all parts and provided some recommendation. Finally, the aim of our study is to help the future researcher by providing security issues, open challenges and future scopes in IoT authentication.

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“…Thus, when securely changing or erasing files, this process deletes as few blocks as allowed. 7 Asaduzzaman et al 8 proposed a certificate as per the NDEF message and a data-processing secure protocol to counter data insertion, jamming, and tag manipulation attacks. Hongthai et al 9 discussed encrypted NDEF transmission in a passive NFC tag for implementation in a product authentication system.…”

Section: Related Workmentioning

confidence: 99%

Evaluating Near‐Field Communication tag security for identity theft prevention

Saeed

Sherazi

Khan

2019

Internet Technology Letters

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Near‐Field Communication (NFC) applications are growing at a rapid pace due to their user‐friendly nature and cost effectiveness. The growth of NFC applications has caught the attention of attackers who can target NFC entities (eg, tags and readers) to gain access to any stored information. NFC is a nascent technology that offers ease of use and secure communication. However, this technology can act as a doorway for major hacks, such as skimming and other identity theft problems. This article presents a technique that can still read the erased data from an NFC tag even if the tag has been erased employing conventional techniques. Furthermore, a set of recommendations is provided for the proper erasure of NFC tags to avoid leaving any traces of the erased data.

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A security-aware Near Field Communication architecture

Cited by 10 publications

References 12 publications

Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

Review on Security of Internet of Things Authentication Mechanism

Evaluating Near‐Field Communication tag security for identity theft prevention

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