Where AES is for Internet, SIMON could be for IoT

Nithya, R.; Kumar, Deepa S.

doi:10.1016/j.protcy.2016.08.111

Cited by 14 publications

(5 citation statements)

References 2 publications

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“…Moreover, the presented implementation in [21] shows that AES rapidly decreases the lifetime of battery nodes and networks such as in ZigBee [22], and WirlessHART [23]. As such, it is safe to conclude that AES is not really suitable for constrained devices, such as IoT ones, as stated in [9,19,24].…”

Section: Related Workmentioning

confidence: 99%

One round cipher algorithm for multimedia IoT devices

Noura

Chehab

Sleem

et al. 2018

Multimed Tools Appl

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With the exponential growth in Internet-of-Things (IoT) devices, security and privacy issues have emerged as critical challenges that can potentially compromise their successful deployment in many data-sensitive applications. Hence, there is a pressing need to address these challenges, given that IoT systems suffer from different limitations, and IoT devices are constrained in terms of energy and computational power, which renders them extremely vulnerable to attacks. Traditional cryptographic algorithms use a static structure that requires several rounds of computations, which leads to significant overhead in terms of execution time and computational resources. Moreover, the problem is compounded when dealing with multimedia contents, since the associated algorithms have stringent QoS requirements. In this paper, we propose a lightweight cipher algorithm based on a dynamic structure with a single round that consists of simple operations, and that targets multimedia IoT. In this algorithm, a dynamic key is generated and then used to build two robust substitution tables, a dynamic permutation table, and two pseudo-random matrices. This dynamic cipher structure minimizes the number of rounds to a single one, while maintaining a high level of randomness and security. Moreover, the proposed cipher scheme is flexible as the dimensions of the input matrix can be selected to match the devices' memory capacity. Extensive security tests demonstrated the robustness of the cipher against various kinds of attacks. The speed, simplicity and high-security level, in addition to low error propagation, make of this approach a good encryption candidate for multimedia IoT devices.

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Section: Related Workmentioning

confidence: 99%

One round cipher algorithm for multimedia IoT devices

Noura

Chehab

Sleem

et al. 2018

Multimed Tools Appl

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“…In comparison to the lightweight cipher implementations in [49], [53]- [55], where powers in the range of 37 to 278 µW/MHz are obtained using a 130 nm node and ranging from 3.1k to 18k gate equivalent (GE), we obtained a range of 62 to 733 µW/MHz with the 0.5 µm node. However, by implementing our system on a 130 nm node, considering the quadratic effect of decreasing voltage and capacitance [56], we estimate to reduce the system up to 10% of the current consumption, i.e., a range of 6.2 to 73 µW/MHz.…”

Section: Implementation Results and Discussionmentioning

confidence: 99%

Design and Implementation of a Configurable Encryption System for Power-Constrained Devices

Rosa¹,

Murguı́a²,

Mejía-Carlos³

et al. 2023

IEEE Access

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In this work, we present a configurable encryption system based on the Encryption by Synchronization in a Cellular Automata (ESCA) system, which is a symmetric key algorithm based on the synchronization phenomenon of Cellular Automata with rule-90. With the aim of producing a flexible system to trade-off power consumption and security level, we implemented a pseudo-random number generator (PRNG) that can be configured with three different key sizes. This variable-length PRNG, together with the capability of bypassing specific modules in the rest of the system, allow us to operate under a wide range of applications. In particular, it would enable online adjustments in IoT and power-constrained devices to fine-tune them between a low-power consumption and a maximum-security level. The system can be implemented with 5956 gates, and it is designed to provide in a 0.5 µm CMOS process a throughput of 50 Mbps @ 37 mW, at the maximum-security level, and an energy consumption of less than 7 mW @ 30 Mbps at the lowest-security level, while still providing a satisfactory perceptual security metric.

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“…AES is widely optimized for hardware, and SIMON performs better than AES in software implementation. SIMON supports larger block sizes for data encryption than AES and can be used for resource-constrained IoT devices [ 77 ]. However, it is less tested and supported in industry and may not receive the same level of support and integration compared to AES.…”

Section: Proposed Frameworkmentioning

confidence: 99%

Performance analysis: Securing SIP on multi-threaded/multi-core proxy server using public keys on Diffie–Hellman (DH) in single and multi-server queuing scenarios

Bhatti,

Sidrat,

Saleem

et al. 2024

PLoS ONE

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The rapid replacement of PSTN with VOIP networks indicates the definitive phase-out of the PBX/PABX with smartphone-based VOIP technology that uses WLAN connectivity for local communication; however, security remains a key issue, regardless of the communication coverage area. Session initiation protocol (SIP) is one of the most widely adopted VOIP connection establishment protocols but requires added security. On the Internet, different security protocols, such as HTTPS (SSL/TLS), IPSec, and S/MIME, are used to protect SIP communication. These protocols require sophisticated infrastructure and some pose a significant overhead that may deteriorate SIP performance. In this article, we propose the following: i) avoid using Internet bandwidth and complex Internet protocols for local communication within an organization, but harness WLAN connectivity, ii) use multi-threaded or multicore computer systems to handle concurrent calls instead of installing hardware-based SIP servers, and iii) run each thread in a separate core. Cryptography is a key tool for securely transmitting confidential data for long- and short-range communication, and the Diffie-Hellman (DH) protocol has consistently been a popular choice for secret key exchanges. Primarily, used for symmetric key sharing, it has been proven effective in generating public/private key pairs, sharing public keys securely over public channels, and subsequently deriving shared secret keys from private/public keys. This key exchange scheme was proposed to safeguard VOIP communication within WLANs, which rely on the SIP for messaging and multimedia communication. For ensuring an efficient implementation of SIP, the system was rigorously analyzed using the M/M/1 and M/M/c queuing models. We analyze the behavior of SIP servers with queuing models with and without end-to-end security and increase users’ trust in SIP security by providing a transparent sense of end-to-end security as they create and manage their private and public keys instead of relying on the underlying SIP technology. This research implements instant messaging, voice conversation, and secret key generation over DH while implementing and observing the role of multi-threading in multiqueue systems that serve incoming calls. By increasing the number of threads from one to two, the SIP response time improved from 20.23809 to 0.08070 min at an arrival rate of 4250 calls/day and a service rate of three calls/min. Similarly, by adding one to seven threads, the queue length was reduced by four calls/min. Implementing secure media streaming and reliable AES-based signaling for session confidentiality and integrity introduces a minor 8-ms tradeoff in SIP service performance. However, the advantages of implementing added security outweigh this limitation.

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Where AES is for Internet, SIMON could be for IoT

Cited by 14 publications

References 2 publications

One round cipher algorithm for multimedia IoT devices

One round cipher algorithm for multimedia IoT devices

Design and Implementation of a Configurable Encryption System for Power-Constrained Devices

Performance analysis: Securing SIP on multi-threaded/multi-core proxy server using public keys on Diffie–Hellman (DH) in single and multi-server queuing scenarios

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