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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal ULTIMA Computing
Rakhmadhany Primananda
Brawijaya University
Computer Science & IT Control & Systems Engineering Engineering

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Data delivery performance on MongoDB generated by WSN over high data load Mochammad Hannats Hanafi Ichsan; Buce Trias Hanggara; Rakhmadhany Primananda
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 4: August 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i4.18358

Abstract

Wireless sensor networks (WSN) Environment is a collection of nodes that sensing and sending data to other nodes in a large number of nodes. One of the WSN concepts is continuous or periodic data collection, then the data obtained can be further processed. From this process, it is possible to produce large data, so the process of sending and storing data becomes a high load. Data obtained from WSN nodes vary greatly, which affects on sending and storing of data. Therefore, a study is needed to analyze WSN's ability to send and store large amounts of data. Message query telemetry protocol (MQTT) is used because it could save resources on communication and MongoDB used because it does not have the concept of tables and rows, this is very suitable for variations in data generated by WSN. In this study, it can be concluded that the performance of MongoDB on high data amount is acceptable, so MongoDB is highly recommended for WSN implementation.
Black Hole Detection Using Modified Sequence Number in Vehicular Ad-hoc Network Rakha Fikran Julda; Dany Primanita Kartikasari; Rakhmadhany Primananda
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 2 (2022): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v14i2.2779

Abstract

Vehicular Ad-hoc Network (VANET) is a type of wireless network with Dedicated Short-Range Communication (DSRC) that enables communication between vehicles (V2V) and communication between vehicles to infrastructure around them (V2I). VANET has several security requirements to consider in order to maintain the network functionality. Availability is the most important security requirement due to its responsibility of maintaining the functionality of the network, attack on availability may cause the lack of availability and reduce the efficiency of VANET. One of the attack that threat the availability of VANET is black hole. In this paper, we address the problem of black hole attack in VANET, using Modified Sequence Number (MSN) as a detection method. The simulation is performed using NS-2 as a simulator and AODV as a routing protocol. Detection Rate (DR) and False Alarm Rate (FAR) are used to evaluate the performance of MSN algorithm in detecting black hole attack. Evaluation with variation in the number of CBR packets shows that MSN algorithm successfully detects black hole attacks with DR values reaching 69.0909% at 10 CBR packets and FAR values reaching 0.0037 at 20 CBR packets. We also evaluate the performance of MSN algorithm with variations of node density. The evaluation shows that MSN algorithm successfully detects black hole attack with DR values reaching 100% with a density of 10 and 20 nodes, with the percentage of FAR values reaching 0% in all numbers of node density.
Co-Authors Buce Trias Hanggara Dany Primanita Kartikasari Mochammad Hannats Hanafi Ichsan Rakha Fikran Julda