{"title":"Factors Influencing Information Security Standards and Policies Compliance by Nigeria Bank Employees","authors":"A. Williams, Adebowale Ojo","doi":"10.1109/ICICT55905.2022.00040","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00040","url":null,"abstract":"It is common knowledge that cyber-attacks, theft, and internet fraud are widespread in the banking industry. This is no different in the Nigerian banking sector, where a lack of employee compliance with standards and policies exacerbates the situation. This paper reports on the effect of motivating factors on Nigerian bank employees' intention to comply with Information Security Standards and Policies (ISSsPs). The study uses multiple regression analysis of data obtained from 370 employees of selected banks in Nigeria. The findings indicate that behavioural factors such as normative beliefs and awareness of information security threats significantly influence employees' intention to comply with ISSsPs. In contrast, the severity of penalty and certainty of detection did not influence employees' intention to comply.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"1968 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129997674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hardware-aware Neural Architecture Search with segmentation-based selection","authors":"Taehee Jeong, Elliott Delaye","doi":"10.1109/ICICT55905.2022.00029","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00029","url":null,"abstract":"Hardware-aware Neural Architecture Search (HW-NAS) has been drawing increasing attention since it can auto-matically design deep neural networks optimized in a resource-constrained device. However, it requires enormous amount of computations, which is not affordable for many. Thus, we propose an efficient method for searching promising neural architectures in HW-NAS. We can significantly reduce computing cost of search using both an accuracy predictor and a latency estimator and sharing pre-trained weights of a super-network. Overall searching procedure takes under 1 minute on a single CPU, which is tremendous improvement compared to general NAS work which requires several days or weeks on a single GPU. To search neural architectures under multiple objectives, we propose segmentation-based selection in search stage. The experimental results show our approach is very competitive compared with other multi-objective optimized methods. For a target hardware, we experimented on Field Programmable Gate Array (FPGA) and compared the results with modern CPUs.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muntasir Wahed, Mazharul M Islam, Xiaowei Wu, Hongxiao Zhu
{"title":"Fast Simulation of Trees and Forests for Bat-inspired Sonar Sensing","authors":"Muntasir Wahed, Mazharul M Islam, Xiaowei Wu, Hongxiao Zhu","doi":"10.1109/ICICT55905.2022.00041","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00041","url":null,"abstract":"To study the sensing mechanism of bat's biosonar system, we propose a fast simulation algorithm to generate natural-looking trees and forest-the primary living habitat of bats. We adopt 3D Lindenmayer system to create the fractal geometry of the trees, and add additional parameters, both globally and locally, to enable random variations of the tree structures. Random forest is then formed by placing simulated trees at random locations of a field according to a spatial point process. By employing a single algorithmic model with different numeric parameters, we can rapidly simulate 3D virtual environments with a wide variety of trees, producing detailed geometry of the foliage such as the leaf locations, sizes, and orientations. Written in C++ and visualized with openGL, our algorithm is fast to implement, easily parallable, and more adaptive to real-time visualization compared with existing alternative approaches. Our simulated environment can be used for general purposes such as studying new sensors or training remote sensing algorithms.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125941242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Algorithms for Generating Parametric Cubic Spline Interpolation Curves","authors":"Jian-ao Lian","doi":"10.36227/techrxiv.19154132","DOIUrl":"https://doi.org/10.36227/techrxiv.19154132","url":null,"abstract":"For any two or three dimensional dataset given as an open or closed piecewise linear function, two algorithms are established for constructing G1 and G2 parametric cubic splines that interpolate the given dataset. These algorithms do not require any additional tangent direction information at each datapoint or any boundary conditions. One algorithm is specif-ically formulated for the unique local least square parametric cubic spline interpolation, so that a given dataset can be best approximated through appropriately defined local least squares approximation. Simple examples will be used to illustrate the algorithms and various datasets will also be demonstrated to show the efficiency of the algorithms.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125379819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}