1,720,977 research outputs found
Low-Rate Attack Detection on SD-IoT Using SVM Combined with Feature Importance Logistic Regression Coefficient
Get PDFThe evolution of computer network technology is now experiencing substantial changes, particularly with the introduction of a new paradigm, Software Defined Networking (SDN). The SDN architecture has been applied in a variety of networks, including the Internet of Things (IoT), which is known as SD-IoT. IoT is made up of billions of networking devices that are interconnected and linked to the Internet. Since the SD-IoT was considered as a complex entity, several types of attack on vulnerabilities vary greatly and can be exploited by careless individuals. Low-Rate Distributed Denial of Service (LRDDoS) is one of the availability-based attack that may affect the SD-IoT integration paradigm. Therefore, it is necessary to have an Intrusion Detection System (IDS) to overcome the security hole caused by LRDDoS. The main objective of this research was the establishment of an IDS application for resolving LRDDoS attack using the SVM algorithm combined with the Feature Importance method, namely the Logistic Regression Coefficient. The implemented approach was developed to reduce the complexity or resource’s consumption during the classification process as well as increasing the accuracy. It could be concluded that the Linear kernel SVM algorithm acquired the highest results on the test schemes at 100% accuracy, but the training time required for this model was longer, about 23.6 seconds compared to the Radial Basis Function model which only takes about 1.5 seconds
Controller Based Proxy for Handling NDP in OpenFlow Network
Get PDFA significant method should be deployed in OpenFlow environment for reducing the complexity during the implementation of IPv6 neighbor discovery protocol (NDP) in multicast manner. This paper was performed for deploying reactive-based application in controller’s northbound layer for handling as well as cutting the Neighbor solicitation packet’s journey. The application had a capability for storing each of the incoming Neighbor Solicitation (NS) and Neighbor Advertisement (NA) packet information. Therefore, the controller could reply the NS packet directly by using OFPT_PACKET_OUT message that contained the NA packet extracted from the reactive application. The experiment’s result showed that the proposed approach could reduce the NS response time up to 71% than the normal result produced by the traditional/learning switch application
Keystroke Dynamic Authentication Using Combined MHR (Mean of Horner’s Rules) and Standard Deviation
Get PDFKeystroke Dynamic Authentication used a behavior to authenticate the user and one of biometric authentication. The behavior used a typing speed a character on the keyboard and every user had a unique behavior in typing. To improve classification between user and attacker of Keystroke Dynamic Authentication in this research, we proposed a combination of MHR (Mean of Horner’s Rules) and standard deviation. The results of this research showed that our proposed method gave a high accuracy (93.872%) than the previous method (75.388% and 75.156%). This research gave an opportunity to implemented in real login system because our method gave the best results with False Acceptance Rate (FAR) is 0.113. The user can be used as a simple password and ignore a worrying about an account hacking in the system
LRDDoS Attack Detection on SD-IoT Using Random Forest with Logistic Regression Coefficient
Get PDFSoftware-Defined Internet of Things (SD-IoT) is currently developed extensively. The Software-Defined Network (SDN) architecture allows Internet of Things (IoT) networks to separate control and data delivery areas into different abstraction layers. However, Low-Rate Distributed Denial of Service (LRDDoS) attacks are a significant problem in SD-IoT networks because they can overwhelm centralized control systems or controllers. Therefore, a system is needed to identify and detect these attacks comprehensively. This paper built an LRDDoS detection system using the Random Forest (RF) algorithm as the classification method. The dataset used during the experiment was considered a new dataset schema with 21 features. The dataset was selected using feature importance - logistic regression to increase the classification accuracy results and reduce the computational burden of the controller during the attack prediction process. The results of the RF classification with the LRDDoS packet delivery speed of 200 packets per second (PPS) had the highest accuracy of 98.7%. The greater the delivery rates of the attack pattern, the increased accuracy results
Analisis Komparasi Penerapan Virtual Local Area Network Pada Software Defined Network
No full textIndustri telekomunikasi dengan skalabilitas yang tinggi tentunya sangat membutuhkan prototipe teknologi jaringan untuk dapat bekerja secara terpusat di berbagai kondisi ekosistem jaringan. Melalui teknologi Virtual Network yaitu VLAN yang dapat mendedikasikan perangkat jaringan tersendiri yang secara fisik terletak pada satu struktur jaringan yang logis. Tujuan dari peneilitan ini adalah untuk menganalisis implementasi VLAN pada lingkungan Software Defined Networking (SDN). Beberapa tipe controller dievaluasi menggunakan metrik jaringan seperti throughput, jitter, latency dan packet delivery ratio yang memanfaatkan Openflow sebagai protokol komunikasi yang menghubungkan bidang kontrol dan bidang data. Peneliti memfokuskan untuk mengevaluasi kemampuan controller SDN Opendaylight, floodlight, ONOS, POX dan Ryu pada Openflow stream forwarding yang dapat memasang dan menghapus header VLAN. Hasil pengujian skenario yang diusulkan menunjukkan bahwa semua jenis controller dapat berjalan dengan baik dengan memberikan instruksi ke lapisan forwarding yang dilewati paket data saat dikirimkan. Melalui pengujian konektivitas dan parameter metrik jaringan, karakteristik controller yang diharapkan dan direkomendasikan adalah controller yang berjalan pada bahasa pemrograman Java. Performa dan modularitas yang tinggi sebagai keunggulannya, fitur yang memadai, meskipun lebih sulit untuk dipahami dibandingkan dengan yang berjalan pada berbasis python. Controller jaringan SDN seperti ONOS mendapatkan hasil yang signifikan dalam proses pengiriman data aktual dengan nilai rata-rata nilai throughput 13.570 kbps. Sedangkan Opendaylight menunjukkan persentase delivery ratio yang stabil untuk semua skenario pengiriman data
Distance Measurement of ESP8266 for Control and Monitoring in Smart Home Application
No full textAlong with the growth of Internet of Things (IoT) projects, the
development of smart home application was also incrementally raised. The
research trends tended to implement the smart home application for monitoring
the house hold devices through automation and also for metering the power
usage independently. Therefore, the proposed research which was developed in
this paper focused for building a smart home application which could control and
monitor based on the power usage of the electronic household devices that serially
connected to the sensor node. This paper also proposed a combination of MQTT
as the messaging protocol for conserving the bandwidth usage. In term of the
project’s analysis, the main aspect was directed to investigate the feasibility of
ESP8266 as the transmission module in our application. The developed system
could successfully monitor the power usage (in Watt and Ampere) and perform
the specified action from the client node. The research result also concluded that
the ESP8266 was feasible for this kind of projec
Analisis Karakteristik Malware Joker Berdasarkan Fitur Menggunakan Metode Statik Pada Platform Android
No full textMalware merupakan musuh utama bagi setiap sistem operasi, salah satunya yaitu sistem operasi Android. Salah satu malware yang sempat beredar pada pertengahan tahun 2019 yaitu malware Joker. Malware Joker setidaknya telah ditanam atau menjangkiti pada 23 aplikasi dan telah beredar pada platform unduh aplikasi android. Untuk membuktikkan dan mengetahui apa saja karakter dan yang dilakukan dari malware Joker, maka pada penelitian ini akan menggunakan salah satu metode analisis malware yaitu metode analisis statis. Dengan menggunakan metode analisis statis memungkinkan untuk mengetahui beberapa karakter dari malware tersebut seperti, bagaimana malware bekerja, letak aktifitas malware pada aplikasi terjangkit,hingga asal usul dari malware tersebut. Terdapat 2 tools yang digunakan untuk melakukan analisis statis pada malware Joker yaitu, Andropytool untuk mengekstraksi beberapa fitur yang ada pada APK dan Dex2jar untuk decompile file DEX pada APK sehingga dapat lihat beberapa baris kode yang digunakan. Hasil yang ditemukan dengan menggunakan analisis statis pada malware Joker yaitu, malware tersebut mengambil informasi kartu SIM pada perangkat pengguna, menargetkan negara dari perangkat pengguna tertentu dengan kode MCC, melakukan broadcast secara tersembunyi dari atau untuk aplikasi terjangkit, dan melakukan komunikasi dengan webserver yang menggunakan layawan AWS.  
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
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