Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Yoshiaki Shiraishi"'
Publikováno v:
Digital, Vol 4, Iss 2, Pp 483-500 (2024)
In the process of collecting evidence of activities and events in network devices, there are problems with content and storage, and we aim to solve the problems faced by network devices in network forensics. In this paper, we propose a simple method
Externí odkaz:
https://doaj.org/article/22dbe50ebac44c178d4cda5ac9eee498
Publikováno v:
Blockchain: Research and Applications, Vol 4, Iss 2, Pp 100126- (2023)
User-centric data sharing is essential to encourage citizens' active participation in the digital economy. One key to smart cities, a form of the digital economy, is the promotion of public use of citizen data. Nevertheless, it is not easy to utilize
Externí odkaz:
https://doaj.org/article/ae6fa00fff064f0ca1b728fd81996869
Publikováno v:
IEEE Access, Vol 8, Pp 135138-135151 (2020)
Content retrieval is becoming an emerging application on an integrated network structure referred to as Software Defined Network and Vehicular Ad hoc Network (SDVN). The SDVN is expected to flexibly provide efficient packet routing without deploying
Externí odkaz:
https://doaj.org/article/5e87d0ec6214412d9b60056cc525d8fc
Autor:
Shohei Kakei, Yoshiaki Shiraishi, Masami Mohri, Toru Nakamura, Masayuki Hashimoto, Shoichi Saito
Publikováno v:
IEEE Access, Vol 8, Pp 135742-135757 (2020)
In Internet of Things ecosystems, where various entities trade data and data analysis results, public key infrastructure plays an important role in establishing trust relationships between these entities to specify who trusts whose private keys. The
Externí odkaz:
https://doaj.org/article/ea79f8c936a64bdfad1988f6d2ee7f77
Publikováno v:
IEEE Access, Vol 8, Pp 144458-144467 (2020)
Data mining entails the discovery of unexpected but reusable knowledge from large unorganized datasets. Among the many available data-mining algorithms, association rule mining (ARM) is very common. It was developed to aggregate all data into one sit
Externí odkaz:
https://doaj.org/article/06155efeb9704789ae278dbdd125b8a3
Publikováno v:
Sensors, Vol 22, Iss 12, p 4405 (2022)
With the growing diversity of cyberattacks in recent years, anomaly-based intrusion detection systems that can detect unknown attacks have attracted significant attention. Furthermore, a wide range of studies on anomaly detection using machine learni
Externí odkaz:
https://doaj.org/article/5553a39b89244e098a08477c789e805c
Autor:
Chihiro Tomita, Makoto Takita, Kazuhide Fukushima, Yuto Nakano, Yoshiaki Shiraishi, Masakatu Morii
Publikováno v:
Sensors, Vol 22, Iss 9, p 3586 (2022)
Concomitant with the increasing density of semiconductors, various attacks that threaten the integrity and security of dynamic random access memory (DRAM) have been devised. Among these, a side-channel attack called RAMBleed is a prolific one that ut
Externí odkaz:
https://doaj.org/article/073fc9d866ab4c33a095dbd64b686cf6
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 16 (2020)
Vehicle ad hoc network is the key technology for a future Internet of vehicles and intelligent transport system. However, involvement of vast number of vehicles in Internet of vehicles limits the performance of vehicle ad hoc network. To tackle this
Externí odkaz:
https://doaj.org/article/b1ee5a548cac4691a948469b33920475
Publikováno v:
Future Internet, Vol 14, Iss 1, p 12 (2021)
The Internet of connected vehicles (IoCV) has made people more comfortable and safer while driving vehicles. This technology has made it possible to reduce road casualties; however, increased traffic and uncertainties in environments seem to be limit
Externí odkaz:
https://doaj.org/article/be238bb2f2084d55914e68f42fd5b37e
Publikováno v:
Journal of Nutritional Science, Vol 7 (2018)
The aim of the present study was to confirm the effects of a commercially available mung bean protein isolate (GLUCODIA™) on glucose and lipid metabolism. The main component of GLUCODIA™ is 8S globulin, which constitutes 80 % of the total protein
Externí odkaz:
https://doaj.org/article/f1d2b8135e0f47949a81205efb129020