One way to prevent image duplication is by applying watermarking techniques. In this work, the watermarking process is applied to medical images using the Fast Discrete Curvelet Transforms (FDCuT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) methods. The medical image of the host is transformed using FDCuT so that three subbands are obtained. High Frequency (HF) subband selected for DCT and SVD applications. Meanwhile, SVD was also applied to the watermark image. The singular value on the host image is exchanged with the singular value on the watermark. Insertion of tears by exchanging singular values does not cause the quality of medical images to decrease significantly. The experimental results prove that the proposed FDCuT-DCT-SVD algorithm produces good imperceptibility. The proposed algorithm is also resistant to various types of attacks, including JPEG compression, noise enhancement attacks, filtering attacks, and other common attacks.
Abstract-Streaming is one kind of technology that allows file to be operated immediately without waiting for download finished and continuous without any interruption. To apply video streaming into the network, it needs first to calculate the available bandwidth that supports data transmission. Bandwidth is the important parameter for streaming in the network. The bigger available bandwidth, the better video quality presented. The objective of this research is to know the bandwidth necessity for video live streaming service; the method used in this research is measuring the network performance directly from the field, Telkom University local network. Implementation of streaming server-client media in this research make use a different in file (video) based on the amount of frame (fps). This streaming video scenario is measured in different background traffic , to see its influence in network QoS parameter. Testing of Quality of Service ( QoS ) performance in video streaming implementation uses software network analyzer Wireshark. The result shows that video with frame rate bigger than 15 fps, gives bigger jitter and throughput.
Keywords-Bandwidth, Video Service, Live Streaming, LANAbstrak-Streaming adalah salah satu bentuk teknologi yang memperkenankan file digunakan secara langsung tanpa menunggu selesainya unggahan (download) dan berlangsung secara kontinyu tanpa interupsi. Untuk mengaplikasikan video streaming kedalam jaringan, diperlukan pertama-tama untuk mengkalkulasi bandwidth yang tersedia, untuk mendukung transmisi data. Bandwidth merupakan parameter penting untuk streaming di dalam jaringan. Makin besar bandwidth yang tersedia, makin baik kualitas video yang ditampilkan. Penelitian ini bertujuan untuk mengetahui kebutuhan bandwidth untuk layanan video live streaming; metode yang digunakan di dalam penelitian ini adalah dengan mengadakan pengukuran unjuk kerja jaringan secara langsung di lapangan, yaitu LAN di lingkungan Universitas Telkom. Implementasi media streaming server-client di dalam penelitian ini menggunakan file video yang berbeda, berdasarkan jumlah frame yang dikirim (fps). Skenario video streaming ini dilakukan dengan menggunakan latar belakang trafik yang bervariasi, untuk melihat pengaruhnya terhadap parameter QoS jaringan. Pengujian performansi Quality of Service (QoS) dalam implementasi video live streaming ini menggunakan software network analyzer Wireshark. Hasil penilitian menunjukkan, bahwa video dengan laju frame lebih besar dari 15 fps, memberikan jitter dan throughput yang besar pula.
Kata kunci-Lebar pita, Layanan Video, Live Streaming, LAN.I. PENDAHULUAN Saat ini, trend perkembangan aplikasi layanan multimedia telah menggabungkan komunikasi video dan voice. Aplikasi tradisional pada jaringan TCP/IP, umumnya hanya melibatkan komunikasi antara dua host. Namun dalam perkembangannya, pengguna jaringan dapat melakukan komunikasi yang melibatkan lebih dari dua pihak secara bersamaan. VideoLAN Streaming merupakan salah satu aplikasi jaringan komputer yang bersifat multimedia, real-ti...
<p>Internet of things (IoT) is an emerging topic in so many aspects nowadays. The integration between devices and human itself is currently in large scale development. With the continuous applications of the IoT, the hidden problems such as security threats become one of the key considerations. Furthermore, limited power and computational capability of the devices in the system make it more challenging.Therefore, the needs of reliable and effective security system throughout the networks are highly needed. This research proposed a collaborative system based on JADE that consists of 3 types of agent, which are IoT server, controller, and node. Every agents will collaborate each other in terms of exchanging the intrusion detection results. The collaboration between the agents will provide more efficient and good performance. Four classification algorithms were used to model IDS functions. Then, the performance evaluation was done on the system with several parameters such as cost loss expectation, energy consumption, and metric of IDS efficiency. The result shows that the number of reports sent by IoT controller were decreased up to 80% while preserving the security aspect.</p>
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