AES-128 Based Secure Low Power Communication for LoRaWAN IoT Environments

Tsai, Kun-Lin; Huang, Yi-Li; Leu, Fang−Yie; You, Ilsun; Huang, Yu‐Ling; Tsai, Cheng-Han

doi:10.1109/access.2018.2852563

Cited by 114 publications

(57 citation statements)

References 34 publications

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“…As a future work, a similar analysis can conducted for other cryptanalysis techniques, such as differential cryptanalysis [13]. Another interesting future direction is to study the application of the proposed algorithms to some wireless protocols [14], [15].…”

Section: Discussionmentioning

confidence: 88%

Linear Cryptoanalysis of the Simplified AES Cipher Modified by Chaotic Sequences

Artiles

Chaves

Pimentel

2019

JCIS

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This article introduces new symmetric key architectures based on a randomized version of the Simplified Advanced Encryption Standard (SAES). It is proposed a new technique to randomize the S-boxes of the original SAES employing chaotic sequences. Then, we study the linear criptanalysis of the proposed schemes. It is shown that, with the introduction of chaotic sequences, the adversary needs a larger number of pairs of plaintext and ciphertext to discover the bits of the key compared to the required by the SAES. Given these results, it is possible to evaluate the improvement of the proposed technique against linear cryptanalysis as compared to the original AES algorithm.

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Section: Discussionmentioning

confidence: 88%

Linear Cryptoanalysis of the Simplified AES Cipher Modified by Chaotic Sequences

Artiles

Chaves

Pimentel

2019

JCIS

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“…In a detailed mitigation solution to the menace, the authors proposed the deployment of sniffed join request messages approach. In another security assessment study, the authors in [ 22 ] proposed an AES-128 based Secure Low Power Communication (SeLPC) method for enhancing the security level of LoRaWAN communication by periodically updating encryption key (AppSKey) and lookup table (D-Box) on both end-devices and application-server sides. In a similar LoRaWAN v1.0 replay attack study, the authors in [ 72 ] initially analyze the typical approach that attackers used to implement the replay attack specifically as “replay of join accept message” and “harvest of join message”.…”

Section: Lpwan Security Analysismentioning

confidence: 99%

“…The threats, effects and impacts of LPWAN security menaces have been extensively discussed in numerous studies [ 15 , 16 , 17 , 18 ]. To mitigate the growing IoT and LPWAN security challenges, numerous security solutions such as intrusion detection systems (IDSs), key management and encryption schemes have been proposed in the literature [ 19 , 20 , 21 , 22 ]. Despite the satisfactory performances demonstrated, some of the various schemes and upgrades from the standard producers have struggled in addressing the emerging security requirements of the IoT operational environment, e.g., despite LoRaWAN’s specification that laid emphasis on key management protocol whereby a compromised key from an end node should not create a major problem for other nodes, experiences have shown that key management issues is still a major problem with regards to the standard.…”

Section: Introductionmentioning

confidence: 99%

A Survey on the Security of Low Power Wide Area Networks: Threats, Challenges, and Potential Solutions

Alimi

Ouahada

Abu‐Mahfouz

et al. 2020

Sensors

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Low power wide area network (LPWAN) is among the fastest growing networks in Internet of Things (IoT) technologies. Owing to varieties of outstanding features which include long range communication and low power consumption, LPWANs are fast becoming the most widely deployed connectivity standards in IoT domain. However, this promising network are exposed to various security and privacy threats and challenges. For reliable connectivity within networks, the security and privacy challenges need to be effectively addressed with proper mitigation protocol in place. In this paper, a comprehensive review on the security feature of LPWAN is presented. The paper mainly focuses on analyzing LPWAN’s key cybersecurity architecture and it present a significant emphasis on how the LPWAN is highly attractive to intruders and attackers. This paper aims at summarizing recent research works on key LPWAN security challenges such as replay attack, denial-of-service attack, worm hole attack, and eavesdropping attack, the effect of the attacks, and most importantly the various approaches proposed in the literature for the attacks’ mitigation. The paper concludes by highlighting major research gaps and future directions for the successful deployment of LPWAN.

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“…In Tsai et al [36] the authors propose an AES-128 encryption scheme for LoRaWAN networks that they assert to be more energy efficient than the current AES-128 implementation that is built into the protocol. This study examines the energy usage over a period of one day in a comparative manner.…”

Section: Previous Workmentioning

confidence: 99%

Security and Performance in IoT: A Balancing Act

et al. 2020

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With predictions suggesting there will be 18 billion Internet of Things (IoT) devices live by 2022, performance of these low powered devices, as well as security is of utmost importance. Managing security and performance is a balancing act. Achieving this balance will always continue to be a challenge. This research presents two main contributions to this area. The first contribution is a framework to measure cryptographic performance of IoT devices. The areas of measurement are power consumption, time cost, energy cost, random access memory (RAM) usage and flash usage. The second contribution is an insightful comparison of the performance of the ATmega328, STM32F103C8T6 and ESP8266 low powered microcontroller devices. Experiments were conducted on these devices running various cryptographic operations. The measured operations are from three encryption algorithms: Advanced Encryption Standard (AES), ChaCha and Acorn. The proposed methods from this research are real-world in nature rather than simulated, and can be used by others wishing to conduct their own IoT performance testing. The results show that the ATmega328 has the lowest overall power consumption. The ESP8266 was generally the fastest performing device. ChaCha outperformed AES in both time cost and energy cost. Both algorithms outperformed Acorn in these metrics. The STM32F103C8T6 device displayed the best overall energy cost, while still performing well in terms of time. The results from the experiments conducted in this study can be used by network designers, developers and others to make appropriate decisions in IoT deployments with regards to balancing performance and security.

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AES-128 Based Secure Low Power Communication for LoRaWAN IoT Environments

Cited by 114 publications

References 34 publications

Linear Cryptoanalysis of the Simplified AES Cipher Modified by Chaotic Sequences

Linear Cryptoanalysis of the Simplified AES Cipher Modified by Chaotic Sequences

A Survey on the Security of Low Power Wide Area Networks: Threats, Challenges, and Potential Solutions

Security and Performance in IoT: A Balancing Act

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