Aug 2026· International journal of intelligent engineering and systems· Vol 19, pp. 1025-1039
Abstract
The rapid scalability of IoT has brought computing power to the edge of the network where low powered devices have a great deal of difficulty protecting themselves from cyber-attack due to their limited resources (memory, processing, power).Current authentication protocols (i.e., TLS/DTLS, IPSec) are certainly statistically secure but computationally too expensive for low powered devices and as such expose them to a variety of cyber-attacks (replay, impersonation, man-in-the-middle, etc.).This paper introduces a new mutual authentication protocol called LEAP (Lightweight Edge Authentication Protocol) specifically developed for low powered edge devices in the IoT space.LEAP utilizes two message exchanges between devices using only lightweight cryptographic primitives (i.e., SHA-256 hash and simple XOR operations) to arrive at a mutual authentication and fresh session key.The protocol was developed using Python on Raspberry Pi Gateways and ESP32 Microcontrollers, with an extensive experimental performance evaluation as well as validating network resilience using the CIC IoT Dataset 2023.LEAP has a mean authentication time of 12.4 ms, an energy consumption of 28.4 mJ, and a memory footprint of only 11.2 KB flash and 4.8 KB RAM; therefore, LEAP provides a 28-fold speed improvement over the optimized ECC protocol of Sciancalepore et al. (2016) and a 33-fold improvement over the ECC protocol of Wang et al. (2018), with corresponding energy reductions of 26-fold and 31-fold respectively.Additionally, ProVerif checked that LEAP is secure against replay attacks, man-in-the-middle attacks and impersonation attacks under the Dolev-Yao adversary model.By providing verified resistance to replay, man-in-the-middle, and impersonation attacks under the Dolev-Yao adversary model, together with excellent efficiency, this makes LEAP a practical and viable method of authenticating resource constrained devices at the edge of the IoT, which is a critical gap in today's security landscape.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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