Potential Development of AES 128-bit Key Generation for LoRaWAN Security

Hayati, Nur; Ramli, Kalamullah; Suryanegara, Muhammad; Suryanto, Yohan

doi:10.1109/iccet.2019.8726884

Cited by 10 publications

(10 citation statements)

References 13 publications

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“…In term of security, a lightweight security program was configured to secure the IoT end device entity and encrypt the data. The design of lightweight IoT security was based on the work of the authors of the reference [31]. IoT end devices must not be duplicated and must be secure from any types of attack.…”

Section: A Iot Infrastructure Design For Community-based Covid-19mentioning

confidence: 99%

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

Hayati

Ramli²,

Suryanegara³

et al. 2021

IJACSA

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Internet of Things (IoT) technological assistance for infectious disease surveillance is urgently needed when outbreaks occur, especially during pandemics. The IoT has great potential as an active digital surveillance system, since it can provide meaningful time-critical data needed to design infectious disease surveillance. Many studies have developed the IoT for such surveillance; however, such designs have been developed based on authors' ideas or innovations, without consideration of a specific reference model. Therefore, it is essential to build such a model that could encompass end-to-end IoT-based surveillance system design. This paper proposes a reference model for the design of an active digital surveillance system of infectious diseases with IoT technology. It consists of 14 attributes with specific indicators to accommodate IoT characteristics and to meet the needs of infectious disease surveillance design. The proof of concept was conducted by adopting the reference model into an IoT system design for the active digital surveillance of the Covid-19 disease. The use-case of the design was a communitybased surveillance (CBS) system utilizing the IoT to detect initial symptoms and prevent closed contacts of Covid-19 in a nursing home. We then elaborated its compliance with the 14 attributes of the reference model, reflecting how the IoT design should meet the criteria mandated by the model. The study finds that the proposed reference model could eventually benefit engineers who develop the complete IoT design, as well as epidemiologists, the government or the relevant policy makers who work in preventing infectious diseases from worsening.

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Section: A Iot Infrastructure Design For Community-based Covid-19mentioning

confidence: 99%

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

Hayati

Ramli²,

Suryanegara³

et al. 2021

IJACSA

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sanchez-Iborra et al [21] evaluated the security vulnerabilities of LoRaWAN in the area of key management and proposed a lightweight key management method on Ephemeral Diffie-Hellman Over COSE transaction. To enhance the security of AES key generation process, Hayati et al [22] investigated several parameters, e.g., key generation time, randomness level, and key length, and claimed that these parameters should be considered in the key generation process. Kim and Song [23] pointed out some security loopholes in LoRaWAN's key update and session key generation and proposed a dual key-based activation scheme with a new network key for LoRaWAN.…”

Section: Related Studiesmentioning

confidence: 99%

Secure Session Key Generation Method for LoRaWAN Servers

et al. 2020

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In recent years, Internet of Things (IoT) as an essential infrastructure for industrial development, environmental protection and human life enhancement has attracted researchers' attention. Currently, there are four hot research topics in IoT fields, including sensor design, communication scheme, secure transmission, and data mining. The LoRaWAN, an unlicensed band based long range wide area network specification, is very suitable for the activities or operations in an IoT environment due to its low power and long range communication. In the LoRaWAN, star-of-stars topology, asynchronous communication, and three communication modes are used to reduce its power consumption. In order to enhance the security of network communication, the LoRaWAN adopts the 128-bit Advanced Encryption Standard (AES-128) and utilizes two session keys: network session key and application session key, for encrypting/decrypting data between end devices and network/application servers. However, according to the LoRaWAN Backend Interfaces 1.0 Specification announced by LoRa Alliance in 2017, the application layer communication securities between two arbitrary servers (including network servers, join server, and application servers) are out of the specification's scope. That is to say that the important data transmitted from one server to another may be attacked, falsified, or stolen easily. In this paper, a session key generation method is proposed to generate session keys with which two servers can securely communicate with each other, especially enhancing the application layer communication securities undefined in the LoRaWAN Specification. By integrating elliptic curve cryptography and AES-128, the session keys for different pairs of servers are created. The security discussion shows that the proposed method provides the features of mutual authentication, confidentiality and message integrity. Besides, it can also help to resist replay and eavesdropping attacks.INDEX TERMS LoRaWAN, security, network server, join server, session key.

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“…Considering the relevant QoS, the innovation theme is concerned with technical aspects of data confidentiality and end-to-end security, particularly about key generation along with the parameters required for the 5G-IoT technology [45]. The specialized technical feature of relevant innovation themes includes 5G wireless security architecture based on identity management and flexible authentication, as proposed by [44].…”

Section: ) 5g Innovation Should Provide Improve the Users' Confidencmentioning

confidence: 99%

Managing 5G Technology: Using Quality of Experience (QoE) to Identify the Innovation Enhancement Pattern According to the Indonesian Market

Suryanegara

2020

IEEE Access

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The coevolution of 5G technological development and the growing market toward the 5G era has generated an innovation enhancement pattern. Identifying this pattern will reveal the 5G services in demand in the market and the infrastructure required for improving the 5G era. Herein, the patterns of 5G technological innovation enhancements are identified as expected in the Indonesian market. We use a novel approach that combines the users' accumulated experience of mobile technology and market expectation. Two types of questionnaires are developed for this purpose: the first determines the quality of experience (QoE) parameters of 4G compared to the preceding 3G and 2G generations and the second analyzes the expectation of QoE parameters for 5G. This study defines 15 QoE parameters reflecting the aspects of infrastructure and services together with their impact on users. The users' answers are classified into six clusters, which are translated into the innovation enhancement pattern. The findings reveal a pattern in which the Indonesian market is predominantly characterized by satisfied users who expect 5G to provide a better experience than 4G, 3G, and 2G despite the presence of some disappointed users in the market who require specialized innovation with variation in disruptive ways. In terms of 5G infrastructure, certain essential patterns include innovation enhancement to serve remote areas, the increasing significance of connectivity to non-cellular and free-service applications, and the market's constant requirement for a better handset while the local industry may harness the opportunity to complete the 5G ecosystem. In terms of service, essential patterns include a strong need for 5G service innovation to render users more innovative, maintaining societal values while delivering the service, and the service innovation required to connect religious life and the 5G service, which should make users feel more healthy and fit. Finally, we discuss how the patterns recognized herein can help mobile operators to develop appropriate strategies for successfully implementing 5G technology.

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Potential Development of AES 128-bit Key Generation for LoRaWAN Security

Cited by 10 publications

References 13 publications

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

Secure Session Key Generation Method for LoRaWAN Servers

Managing 5G Technology: Using Quality of Experience (QoE) to Identify the Innovation Enhancement Pattern According to the Indonesian Market

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