Differential Fault Attack on SIMECK

Nalla, Venu; Sahu, Rajeev Anand; Saraswat, Vishal

doi:10.1145/2858930.2858939

Cited by 14 publications

(17 citation statements)

References 3 publications

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“…• First, we show that the whole master key of SIMECK block ciphers could be recovered by injecting faults into a single round of the ciphers, which makes our attack more practical than Nalla et al's attacks [14], as their attacks require faults from 4 different rounds.…”

Section: Introductionmentioning

confidence: 86%

“…After that, the attacker repeats this procedure to obtain more round keys until the master key can be deduced by the key schedule. Subsequently, various DFA attacks on block ciphers have also been carried out, including attacks against AES [7], Triple DES [9], IDEA [10], SIMON and SPECK [11], [12], and SIMECK [14].…”

Section: Differential Fault Analysismentioning

confidence: 99%

“…In 2016, Nalla et al [14] presented two fault analysis attacks against SIMECK ciphers. While the former is under the one bitflip fault model, the latter is under the random byte fault model.…”

Section: Introductionmentioning

confidence: 99%

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Improved Fault Analysis on SIMECK Ciphers

Ghorbani

2020

Preprint

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The advances of Internet of Things (IoT) have had a fundamental impact and influence in sharping our rich living experiences. However, since IoT devices are usually resource-constrained, lightweight block ciphers have played a major role in serving as a building block for secure IoT protocols. In CHES 2015, SIMECK, a family of block ciphers, was designed for resource-constrained IoT devices. Since its publication, there have been many analyses on its security. In this paper, under the one bit-flip model, we propose a new efficient fault analysis attack on SIMECK ciphers. Compared to those previously reported attacks, our attack can recover the full master key by injecting faults into only a single round of all SIMECK family members. This property is crucial, as it is infeasible for an attacker to inject faults into different rounds of a SIMECK implementation on IoT devices in the real world. Specifically, our attack is characterized by exercising a deep analysis of differential trail between the correct and faulty immediate ciphertexts. Extensive simulation evaluations are conducted, and the results demonstrate the effectiveness and correctness of our proposed attack.

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Section: Introductionmentioning

confidence: 86%

Section: Differential Fault Analysismentioning

confidence: 99%

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Improved Fault Analysis on SIMECK Ciphers

Ghorbani

2020

Preprint

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“…The implementation in hardware was done on 130 nm and 65 nm CMOS process. SIMECK developed by Yang et al [51] showed its weakness against random byte fault attack and bit flip fault attack [52]. A symmetric Substitution Permutation Network type of block cipher named as LED was designed by Guo et al [33].…”

Section: Literature Surveymentioning

confidence: 99%

LCB: Light Cipher Block An Ultrafast Lightweight Block Cipher For Resource Constrained IOT Security Applications

2021

KSII TIIS

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In this fast-paced technological world, the Internet of Things is a ground breaking technology which finds an immense role in the present electronic world which includes different embedded sensors, devices and most other things which are connected to the Internet. The IoT devices are designed in a way that it helps to collect various forms of data from varied sources and transmit them in digitalized form. In modern era of IoT technology data security is a trending issue which greatly affects the confidentiality of important information. Keeping the issue in mind a novel light encryption strategy known as LCB is designed for IoT devices for optimal security. LCB exploits the benefits of Feistel structure and the architectural benefits of substitution permutation network both to give more security. Moreover, this newly designed technique is tested on (Virtex-7) XC7VX330T FPGA board and it takes much little area of 224 GE (Gate Equivalent) and is extremely fast with very less combinational path delay of 0.877 ns. An in-depth screening confirms the proposed work to promise more security to counter cryptographic attacks. Lastly the Avalanche Effect (AE) of LCB showed as 63.125% and 63.875% when key and plaintext (PT) are taken into consideration respectively.

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“…Nozaki et al [14] proposed an electromagnetic analysis of Simeck FPGA implementation using the linear relationship between the Hamming distance and electromagnetic waves, similar to DEMA and CEMA. Nalla et al [15] proposed a differential fault attack on Simeck. They conducted random bit-flip fault attacks (requiring n/2 faults to recover the n-bit last round key) and a random byte fault attack (needing n/6.5 faults to recover the n-bit last round key) on Simeck.…”

Section: Simeck Family Blockmentioning

confidence: 99%

Secure Data Encryption for Cloud-Based Human Care Services

et al. 2018

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Sensor network services utilize sensor data from low-end IoT devices of the types widely deployed over long distances. After the collection of sensor data, the data is delivered to the cloud server, which processes it to extract useful information. Given that the data may contain sensitive and private information, it should be encrypted and exchanged through the network to ensure integrity and confidentiality. Under these circumstances, a cloud server should provide high-speed data encryption without a loss of availability. In this paper, we propose efficient parallel implementations of Simeck family block ciphers on modern 64-bit Intel processors. In order to accelerate the performance, an adaptive encryption technique is also exploited for load balancing of the resulting big data. Finally, the proposed implementations achieved 3.5 cycles/byte and 4.6 cycles/byte for Simeck32/64 and Simeck64/128 encryption, respectively.

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Differential Fault Attack on SIMECK

Cited by 14 publications

References 3 publications

Improved Fault Analysis on SIMECK Ciphers

Improved Fault Analysis on SIMECK Ciphers

LCB: Light Cipher Block An Ultrafast Lightweight Block Cipher For Resource Constrained IOT Security Applications

Secure Data Encryption for Cloud-Based Human Care Services

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