1,720,967 research outputs found
The effect of packet loss and delay jitter on the video streaming performance using H.264/MPEG-4 Scalable Video Coding
Performance analysis on gain prediction of dual-radio aggregation system in heterogeneous network
Implementasi Ansible pada Otomasi Honeypot Deployment Berbasis Web
Dalam era digital yang semakin kompleks ini, keamanan sistem informasi menjadi masalah penting bagi organisasi di berbagai industri. Peningkatan serangan siber serta polanya yang semakin bervariatif bisa menimbulkan ancaman bagi kerahasiaan data atau integritas dari suatu organisasi. Di Indonesia, Badan Siber dan Sandi Negara (BSSN) mencatat bahwa hingga sepanjang bulan April 2022, serangan siber di Indonesia telah mencapai angka 100 juta kasus dengan jenis serangan yang didominasi oleh serangan ransomware dan malware. Salah satu solusi untuk mengatasi permasalahan ini adalah dengan mengimplementasikan sistem honeypot. Honeypot telah berkembang menjadi salah satu alat yang berguna untuk mengidentifikasi serangan dan mempelajari strategi penyerang, yang memungkinkan organisasi untuk memperkuat pertahanan mereka. Namun, penerapan dan pengelolaan honeypot secara manual dapat memakan banyak waktu dan sumber daya. Oleh karena itu, penelitian ini bertujuan untuk melakukan otomasi proses honeypot deployment dengan menggunakan alat manajemen konfigurasi yang populer yang dikenal sebagai Ansible. Selain itu, untuk mempermudah pengoperasian Ansible dalam melakukan honeypot deployment, maka dibuat sebuah aplikasi user friendly berbasis web. Aplikasi tidak hanya sekedar melakukan honeypot deployment, namun juga memantau prosesnya. Berdasarkan hasil pengujian, aplikasi berhasil melakukan honeypot deployment ke semua sensor yang berjalan di Google Cloud Platform dengan tiga region berbeda
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Privacy aware-based federated learning framework for data sharing protection of internet of things devices
Federated learning (FL) has emerged as one of the most effective solutions to deal with the rapid utilization of internet of things (IoT) in big data markets. Through FL, local data at each IoT device can be trained locally without sharing the local data to the cloud server. However, this conventional FL may still suffer from privacy leakage when the local data are trained, and the trained model is shared to the cloud server to update the global prediction model. This paper proposes a FL framework with privacy awareness to protect data including the trained model for IoT devices. First, a data/model encryption method using fully homomorphic encryption is introduced, aiming at protecting the data/model privacy. Then, the FL framework for the IoT with the encryption method leveraging logistic regression approach is discussed. Experimental results using random datasets show that the proposed framework can obtain higher global model accuracy (up to 4.84%) and lower global model loss (up to 66.4%) compared with other baseline methods
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
