Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Kongzhi yu Juece/Control and Decision
Azerbaijan Medical Journal
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Zhonghua yi shi za zhi (Beijing, China : 1980)
Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley
The digital world is rapidly converging and converting a lot of our valuable data on to its digital equivalent. Its dissemination as eased via the advent of the Internet has also led to and encountered many attacks due to predictable responses from users. This has evolved the field of social engineering and exploits of user trust-levels. Thus, the use of deception mechanisms now plays a prominent role in enhancing the field of cyber and data security. There exists many techniques to dissuade and/or redirect adversaries via deception mode commonly called honeypots. They seek to detect intrusive activities by adversaries using services that attract the attacker to it. Honeypots have been successfully employed to minimize security breaches. We explore deception-based mechanism (honeypot) as an effective means to minimize data exploitation by adversaries – implemented via web servers and equipped with tracking and identification capabilities as the system learns and defends the user system against intrusive actions.
Evolution in the concealment of data was reflected in the medical field specifically on medical images and becoming more challenging and an enthusiastic area of research since the last decades over the dispersed IoTs. Hide information technology in the image is called steganography. The objective of this study is the preservation of privacy and confidentiality of data in uncertain surroundings during multimedia exchange joining two IoT hops. For attacker hindrance and, provision of data confidentiality, a resilient multilevel security perspective depending on information hiding and cryptography is suggested. The existing schemes have limitations related to the equilibrium trade-off amid two variables (medical image quality and security). In addition, the direct embedment of the secret data into the images and further subtraction of encrypted data from it often enables the intruders to easily detect and extract the hidden information. Based on these factors, we proposed multilevel security based on three random iterations with chosen a procedure that was implemented using Henon function to stop against cybercrimes challenges. Satisfying results, gained when benchmarking our results with the existing methods in literature through the same criteria
