Hasil Pencarian  ::  Simpan CSV :: Kembali

"This SpringerBrief introduces the current research status on emerging multiple access schemes for mMTC, which provides an integrated reference for future research works. A brief introduction on mMTC scenario is provided, and then the suitable random access procedure is discussed. Various multiple access schemes for mMTC are also described and analyzed in detail. It assumes a background in communication theory and wireless communication fundamentals."

"ABSTRAKTingginya pertumbuhan traffic data serta munculnya fitur dan teknologi terbaru seperti internet of thing IoT , mendesak munculnya teknologi komunikasi seluler generasi kelima 5G . Channel coding memiliki peran penting untuk mendukung tiga skenario 5G, yaitu Enhanced Mobile Broadband eMBB , Massive Machine Type Communications mMTC dan Ultra Reliable Low Latency Communication URLLC . Ada tiga kandidat channel coding yang berpotensi untuk memenuhi standar teknologi 5G, seperti yang diidentifikasi oleh 3GPP, yaitu turbo code, low density parity check LDPC code dan polar code.Penelitian ini mensimulasikan dan membandingkan kinerja polar code dan LDPC code berdasarkan parameter yang sesuai dengan skenario mMTC. Evaluasi teknis dilakukan dengan menilai BLER / BER dan coding gain untuk block length yang rendah dengan modulasi QPSK. Hasilnya menandakan bahwa polar code SCL decoder memiliki performa paling unggul dengan nilai coding gain 8.3 dB - 10 dB. Selain itu, polar code SCL decoder juga memiliki nilai Eb/N0 yang lebih kecil dengan perbedaan 1 dB - 3 dB dibanding skema pengkodean lainnya untuk mendapatkan BLER 0.0001. Namun jika ditinjau dari kompleksitas dan waktu decoding, polar code SC decoder mengungguli skema pengkodean lainnya dengan kompleksitas O n log n dan waktu decoding 0.005 s untuk block length 64 bit serta 0.029 s untuk block length 512 bit.

---

ABSTRAKNew features and technologies such as internet of things IoT , has encouraged the development of fifth generation mobile communications technology 5G . Channel coding has an important role to support the three 5G scenarios, i.e. Enhanced Mobile Broadband eMBB , Massive Machine Type Communications mMTC and Ultra Reliable and Low Latency Communications URLLC . There are three potential candidates for the 5G technology standard, as identified by 3GPP, which is turbo code, low density parity check LDPC code and polar code.This research simulates and compares the performance of polar code and LDPC code based on parameters that match the URLLC and mMTC scenarios. The technical evaluation is conducted by assessing BLER BER and coding gain for short block length with QPSK modulation. The result signified that polar code SCL decoder has the best performance with coding gain 8.3 dB 10 dB. In addition, the polar code SCL decoder also has a smaller Eb N0 with a difference of 1 dB 3 dB compared to other coding schemes to get BLER 0.0001. However, in terms of complexity and decoding time, the polar code SC decoder outperforms other coding schemes with complexity of O n log n and decoding time 0.005s for 64 bit block length and 0.029s for 512 bit block length."

"This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc."

"Dimasa Mendatang, diprediksi akan banyak perangkat yang terhubung pada jaringan komunikasi, selain itu jaringan komunikasi masa depan juga membutuhkan nilai packet loss rate (PLR) yang rendah serta sistem pemrosesan yang sangat cepat. Pada penelitian ini diusulkan sebuah skema akses jamak atau multiple access yang mampu melayani lalulintas komunikasi dengan jumlah perangkat yang sangat banyak  serta nilai PLR yang kecil. Skema akses jamak berupa coded random access (CRA) dipilih dalam penelitian ini karena mampu melayani lalulintas komunikasi dengan jumlah perangkat yang terhubung sangat banyak (throughput yang tinggi. Untuk mendapatkan PLR yang rendah pada CRA, digunakan degree distribusi  yang menghasilkan stopping set sedikit. Sehingga pada penelitian ini dilakukan optimasi pada CRA dengan mencari degree distribusi yang menghasilkan stopping set paling rendah pada throughput yang masih dapat diterima. Optimasi dilakukan dengan menggunakan theory probability stopping set dan simulasi komputer. Untuk memvalidasi ketercapaian throughput, pada penelitian ini dilakukan evaluasi dengan menggunakan metode Extrinsic Information transfer(EXIT) chart analisis. Dalam penelitian ini juga dilakukan validasi antara theory probability stopping set dengan hasil yang didapat dari simulasi komputer. Dari hasil validasi tersebut menunjukan theory probability stopping set sesuai dengan hasil dari simulasi komputer. Sehingga penggunaan theory probability stopping set cukup valid untuk dipakai pada optimasi degree distribusi dengan meminimalkan stopping set. Dari serangkaian penelitian yang dilakukan, didapatkan CRA dengan degree distribusi yang mempunyai stopping set paling minimal sebanyak 48 kali dalam 10.000 sample yang ditandai dengan PLR yang cukup rendah yaitu 10^-3 pada G=0.65 packet per slot (yang artinya 1 paket rusak dalam 1000 sampel dengan mode pengiriman 65% aktif dari seluruh user dan throughput yang masih dapat diterima yaitu G=0.7 packet per slot. Usulan CRA dengan degree distribution optimal dengan minimal stopping set hasil dari penelitian ini diharapkan dapat diterapkan dan bermanfaat pada komunikasi aplikasi krusial dengan nilai kegagalan mendekati nol.

---

The Future networks predicted with massive number of devices connected to communication networks, beside that the future communication network also requires a low value of packet loss rate (PLR) and a very fast processing system. In this paper, a multiple access scheme is proposed which is capable of serving communication traffic with a very large number of devices and a small PLR value. Multiple access scheme such as coded random access (CRA) were in this paper, because of ability of serving communication traffic with a large number of connected devices(or we can call high throughput needed). To obtain a low PLR in CRA, we use a degree distribution which resulted in a small number of stopping set. This paper was optimized on CRA by looking for a degree distribution that produced the lowest number of stopping set at acceptable throughput. Optimization was done by using probability of stopping set theory and computer simulation. To validate the achievement of throughput, this paper was evaluated using the Extrinsic Information Transfer (EXIT) chart analysis. In this paper, we validate between probability stopping set theory and the results obtained from computer simulations, the result shows that the probability stopping set theory is in accordance with the result of computer simulations. Therefore the use of probability stopping set theory is valid to be used in degree distribution optimization by minimizing stopping sets. In this paper, it was obtained CRA with a degree distribution which has a stopping set of at least 48 times in 10000 samples which is marked by PLR which is quite low at 10-3 at offered traffic 0.65 packet per slot (which means 1 packet is damaged in 1000 samples with delivery mode 65% active of all users) and acceptable throughput in 0.7 packet per slot. The proposed CRA with optimal degree distribution having minimum stopping set results from this paper is expected to be applicable and useful in crucial application communication with asymptotically zero failure."

"ABSTRAKPresentase pendapatan atas penyediaan layanan konektivitas oleh operator seluler masih memiliki kontribusi revenue yang kecil dari total revenue opportunity dalam Internet of Things (IoT) value chain. Sementara munculnya teknologi berbasis IoT pada umumnya menandai evolusi teknologi di sektor telekomunikasi yang memungkinkan gelombang baru layanan yang memberikan peningkatan value di berbagai sektor yang mendorong perekonomian. Untuk dapat mengambil peluang tersebut, operator perlu melakukan revitalisasi model bisnis sebagai upaya untuk bertahan dalam ekosistem IoT. Tulisan ini bertujuan untuk memperoleh kondisi eksisting model bisnis IoT oleh operator seluler dan mengetahui strategi inovasi model bisnis penyediaan IoT oleh operator seluler di Indonesia kedepan dengan mengadopsi metode berfikir soft system yang membandingkan kondisi eksisting dengan kondisi yang diharapkan kedepan untuk dapat mengambil langkah perbaikan menuju kondisi kedepan. Adapun model bisnis yang akan digunakan adalah dengan menggunakan model bisnis St. Gallen Magic Triangle sebagai tools untuk melakukan analis komponen model bisnis dalam pengembangan bisnis IoT. Data diperoleh dari berbagai sumber literatur beserta hasil wawancara dari beberapa operator seluler di Indonesia atas implementasi IoT. Secara umum model bisnis IoT yang diimplementasikan oleh operator seluler telah mengarah kepada penyedia platform sebagai langkah awal untuk mengembangkan ekosistem IoT secara bertahap. Dalam menuju ke kondisi ideal untuk dapat menjadi penyedia end-to-end dibutuhkan strategi dalam komponen bisnis model yang digunakan. Hasil penelitian menunjukkan bahwa perlu adanya penguatan terhadap pengembangan platform yang saat ini telah dibangun dengan memperkuat pengembangan strategi untuk revenue model yang diinginkan sebagai upaya untuk menerapkan berbegai strategi monetisasi bisnis IoT serta upaya peningkatan value proposition yang ditawarkan kepada pelanggan. Rekomendasi yang dapat disampaikan adalah operator seluler secara berkala melakukan analisis investasi dari sisi internal ataupun eksternal dalam rangka meningkatkan kapabilitas perusahaan dalam mengakselerasi peran khususnya dalam bisnis penyediaan IoT serta analisa melakukan technology roadmap dan pengembangan platform dalam menuju terbentuknya ekosistem dengan penyelenggara telekomunikasi sebagai digital hub enabler.

---

ABSTRACTThe percentage of revenue from the provision of connectivity services by cellular operators still has a small contribution to revenue from the total revenue opportunity in the Internet of Things (IoT) value chain. While the emergence of IoT-based technology in general marks the evolution of technology in the telecommunications sector which allows a new wave of services that provide increased value in various sectors that drive the economy. To be able to take this opportunity, operators need to revitalize the business model as an effort to survive in the IoT ecosystem. This paper aims to obtain the existing conditions of the IoT business model by cellular operators and find out the strategy of providing IoT business model innovation by cellular operators in Indonesia in the future by adopting a soft system thinking method that compares existing conditions with expected conditions in the future to be able to take corrective steps towards future conditions . The business model that will be used is using the St. business model. Gallen Magic Triangle as a tool for analyzing business model components in IoT business development. Data is obtained from various literary sources along with interviews with several cellular operators in Indonesia for IoT implementation. In general, the IoT business model implemented by cellular operators has led to platform providers as a first step to developing the IoT ecosystem in stages. In heading to the ideal condition to be an end-to-end provider, a strategy is needed in the business components of the model used. The results of the study show that there is a need to strengthen the development of the platform that has now been developed by strengthening the development of the strategy for the desired revenue model in an effort to implement various IoT business monetization strategies and efforts to increase the value proposition offered to customers. Recommendations that can be conveyed are cellular operators that regularly carry out internal or external investment analysis in order to improve the company's capability to accelerate its special role in the IoT supply business and analyze technology roadmaps and platform development towards the establishment of ecosystems with telecommunications operators as digital hub enablers."

"This book provides an overview of the most recent developments in Internet of Things (IoT) security and data protection. It presents the results of several international research projects addressing this topic from complementary angles. It starts by analyzing the main privacy and security threats on IoT, as well as the evolution of data protection norms, such as the European General Data Protection Regulation (GDPR), and their impact on IoT. Through a comprehensive and systematic approach, the contributors present new perspectives on IoT & Cloud Computing security requirements. They discuss the most recent approach to support trusted IoT, including new models of privacy risk assessment, labeling and certification, and contractual tools (such as Privacy PACT). Practical implementations, such as in the European Large Scale Pilots on IoT for Smart Cities (Synchronicity), are presented, explaining how they address security, privacy and data protection. Finally, innovative models to secure IoT systems are presented for the network and end-nodes security, including network threats analysis.Shares results from several international research projects on IoT, cybersecurity, and privacy;Combines complementary expertise from top experts in IoT, security, and data protection;Provides a comprehensive view on how to protect IoT deployments and make them comply with the GDPR."

"PT. CAC merupakan pendatang baru (new comer) di dibidang Sistem Telekomunikasi Bergerak Seluler (STBS), dimana PT. CAC mendapatkan lisensi pada jaringan DCS 1800 pada Eekuensi operasi uplink 1775-1785 MHZ., downlink 1870-1880 MHz dan WCDMA FDD uplink 1920-1935 MHz dan Downlink 2110- 2125 MHz serta WCDMA TDD uplink dan downlink pada frekuensi 2010 MHz. Sebagai pendatang baru PT.CAC harus melakukan identifikasi dan analisis dari kondisi jaringan existing yang dimiliki oleh tiga operator yaitu PT. Telkomsel, PT. Indosat dan PT. Excelcom dengan memperhatikan kemampuan dan kendala dari intemal dan ekstemal untuk mencapai rencana yang diinginkan dalam bentuk Rencana Induk (Master Plan) yang akan menjadi pedoman dalam pelaksanaan pembangunan dan pengembangan jaringan telekomunikasi dalam jangka waktu 5 tahun untuk meningkatkan produktifitas dan eiisiensi PT. CAC. Berdasarkan hasil analisis kesenjangan (gap analysis) yang mencakup Spesifikasi teknis, infrastruktur dan bisnis, PT. CAC perlu melakukan penggelaran jaringan secara bertahap. Adanya kewajiban PT. CAC untuk mernbangun jaringan pada tahun 2005, maka pembangunan harus dimulai pada tahun 2005 dengan cakupan wilayah awal daerah DKI Jakarta Rencana Induk Perencanaan Jaringan Telekomunikasi PT. CAC mencakup:1. SpesifikasiTelmisKapasitas jaringan telekomunikasi yang dibangun akan memberikan kuali tas sinyal yang lebih baik dari best practice;2. Cakupan JaringanCakupan jaringan akan mancakup wilayah nasional pada akhir tahun 2009 dengan menggunakan jaringan tulang punggung (backbone) yang disewa dan dibangun sendiri di seluruh wiiayah Indonesia;3. InfrastrukturJumlah infiastruktilr yang dibangun sebanyak sites 9.935 sites untuk 2.5G pada akhir tahun 2009 sehingga dapat menjadi operator ke-2 terbesar di Indonesia. Sedangkan infrastruktur untuk 3G sebanyak 300 sites yang colocated dengan 2.5G akan dibangun pada tahun 2006. PT. CAC hams tetap melanjutkan pembangunan ll1&3S\I1.I.k11l1? 3G tanpa perlu menunggu keputusan tender ulang 1isensi3G.4. Peningkatan CAPEX sebanding dengan peningkatan infrastruktur jaringan. Sedangkan peningkatan OPEX tezjadi karena adany faktor penyusutan (depreciation and amortisation) dan faktor pemeliharaan dan perawatan (operation and maintenance);5. Time Frame ImplementasiImplementasi dijadualkan secara ketat dan konsisten untuk mencapai target infrastruktur dengan menggunakan skala prioritas.

---

PT. CAC ls a new comer in the mobile communications industry, where PT. CAC have been awarded a licence to operate a DCS 1800 network with its Uplink on 1775-1785 MI-iz frequency band, and Downlink on 1870-1880 MHZ, as well as WCDMA with its FDD Uplink on 1920-1935 MHz and Downlink on 2110-2125 MHz in addition to WCDMA TDD Uplink and Downlink on the 2010 MI-lz frequency. As a new comer, PT.CAC must identify and analyse conditions for existing networks run by the three major operators PT. Telkomsel, PT. [ndosat and PT. Excelcom, paying attention to current capabilities and obstacles both internally and extemally in order to tiillil targets elaborated in its Master Plan, which sets out guidelines in network implementation and development over a 5-year period aimed at enhancing overall productivity and efficiency at PT. CAC. Based on a gap analysis covering specifications on the technical, infrastructure and business perspectives, PT. CAC must roll-out its network in stages. As PT. CAC is under the legal obligation to start building its network in 2005, implementation must commence in 2005 with an initial coverage area spanning the whole DK1 Jakarta. The Master Plan for PT. CAC?s Network Planning covers:

1. Technical Specitications

implemented capacity of telecommunication network will have a better quality compared to the best practice;

2. Network Coverage

National coverage will be achieved in 2008 by using backbone that will be rented and built all over Indonesia.

3. Inlifastructure

The 9.935 sites of 2.5G will be deployed until the end of 2009 then CAC will be the second largest operator in Indonesia. The 300 sites of 3G will be collocated with 2.5G sites, these 300 sites will be deployed in 2006. PT. CAC shall continue the development of 3G infrastructure without waiting for the decision of re-tender of 3G licence by government.

4. CAPEX and OPEX

The CAPEX will increase along with the network irL?&'astructure. The OPEX will increase every year due to depreciation and amortisation and operation and maintenance factor.

5. The Time Frame for Implementation

A tight and consistent schedule of implementation will be applied by using priority scale to pursue the target."

"This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as millimeter-wave wireless backhauling, fully-loaded cellular networks are of interest. The suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture are also discussed.Novel techniques are examined for RF precoding optimization in combination with nonlinear precoding at baseband, and the superiority of joint RF-baseband design is verified. Moreover, the efficacy of hybrid RF-baseband precoding to combat intercell interference in a multi-cell environment with universal frequency reuse is investigated, which is concluded to be a promising enabler for the dense deployment of base stations. This book mainly targets researchers and engineers interested in the challenges, optimization, and implementation of massive MIMO precoding in 5G Cloud RAN. Graduate students in electrical engineering and computer science interested in the application of mathematical optimization to model and solve precoding problems in massive MIMO cellular systems will also be interested in this book."

"Layanan dan fitur yang dimiliki WCDMA dapat membuka peluang bisnis baru bagi operator. Jasa layanan yang secara terus-menerus dikembangkan sesuai tuntutan kebutuhan pasar, akan memperkuat eksistensi dan keberlanjutan suatu perusahaan. Kebutuhan pasar (masyarakat umum) akan komunikasi selular tidak hanya sebagai komunikasi suara dan data, tapi juga sebagai komunikasi multimedia dengan tingkat mobilitas yang tinggi, kecepatan tranfer data yang tinggi, dan bandwidth yang lebar. Tapi, rencana bisnis tersebut membutuhkan biaya investasi seperti biaya lisensi dan penyediaan perangkat jaringan WCDMA dirasa cukup mahal oleh operator di Indonesia, padahal perkembangan jumlah pelanggan WCDMA di dunia terus meningkat pesat.Tujuan penelitian ini untuk menganalisis layak atau tidak layak bisnis komunikasi selular generasi ketiga berbasis WCDMA diterapkan di Indonesia (Studi Kasus PT. Indosat, Tbk). Aspek studi kelayakan bisnis ditekankan pada aspek pasar, aspek teknologi, aspek finansial, aspek ekonomi dan sosial, aspek lingkungan industri, dan aspek regulasi.Hasil penelitian menyimpulkan bahwa: (1) Bisnis komunikasi selular generasi ketiga berbasis WCDMA layak diterapkan di Indonesia, apabila PT. Indosat, Tbk memiliki izin lisensi untuk mengoperasikan layanan generasi ketiga dari Pemerintah dalam hal ini Direktorat Jendral Pos dan Telekomunikasi Republik Indonesia; (2) Berdasarkan analisis aspek sosial, bisnis komunikasi selular generasi ketiga berbasis WCDMA layak diterapkan di Indonesia dalam hal ini PT. lndosat, Tbk dapat melakukan edukasi kepada pelanggan dalam berkomunikasi selular khususnya komunikasi data; (3) WCDMA merupakan teknologi yang relatif baru di Indonesia, sehingga dalam penelitian ini PT. Indosat, Tbk memproyeksikan jumlah pelanggan WCDMA secara moderat.Berdasarkan hasil analisis aspek pasar, teknologi, lingkungan industri, dan finansial menurut proyeksi jumlah pelanggan secara moderat diperoleh NPV sebesar 349,785,829.86 USD, IRR sebesar 39%, Profitability index sebesar 7.34, dan Payback Period selama 6 tahun 6 bulan. Ini menunjukkan bisnis komunikasi selular generasi ketiga berbasis WCDMA layak diterapkan di Indonesia.

---

WCDMA services and features can open a new business opportunities for operators. Consistently developed services according to customer demand will strengthen the company position in the market. Customer needs not only voice and data communication but also high mobility multimedia communication, high-speed data transfer and wide bandwidth. Unfortunately such business plan will need considerable amount of investment. WCDMA operators regard license and hardware availability in Indonesia as very expensive, although the number of subscription is increasing rapidly.The objective of this research is to analyze the feasibility of establishing WCDMA based third generation cellular communication in Indonesia. (Case study of PT Indosat, Tbk). The characteristics of the feasibility study will be concentrated on market, technological, financial, economical and soda!, industrial environment and regulatory.The study shows that (1) WCDMA based third generation cellular business is applicable in Indonesia, if PT Indosat, Tbk can get the license from the government in this case from Directorate General of Post and Telecommunication Republic of Indonesia; (2) According to the social aspect analysis, WCDMA based third generation cellular business is applicable in Indonesia, if PT Indosat, Tbk should educate the society concerning cellular communication, especially on data communication, and (3) WCDMA technology is relatively new in Indonesia so during the research PT Indosat, 7bk's view the number of customer moderately.According to market, technology, and industrial environment and financial aspect analysis according to the moderate projection, the NPV is 349,785,629.86 USD; the IRR is 39%, profitability index of 7.34 and payback period of 6 years 6 month. That shows WCDMA based third generation cellular business is applicable in Indonesia."

"Internet of Things (IoT) merupakan sebuah teknologi yang memungkinkan perangkat untuk berkomunikasi dan mengirimkan data melalui jaringan tanpa campur tangan manusia. Kompleksitas pada jaringan IoT menyebabkan sistem mengalami kesulitan dalam mendeteksi properti serangan dan memaksa sistem untuk memperkuat keamanannya. Salah satu upaya yang paling sering digunakan untuk pertahanan jaringan IoT adalah Intrusion Detection System (IDS). Penggunaan IDS dapat memberikan peringatan dini dan mampu melakukan pencegahan terhadap potensi serangan pada jaringan. Penelitian ini menggunakan dataset Aegean WIFI Intrusion Dataset (AWID2) yang berisikan lalu lintas trafik internet pada jaringan WIFI. Data AWID2 berisi 2,3 juta records dan dikelompokkan ke dalam empat kelas yaitu normal, impersonation, injection, dan flooding. Penelitian ini dilakukan untuk melakukan klasifikasi jenis serangan siber pada jaringan IoT melalui penerapan teknik machine learning dengan metode Whale Optimization Algorithm – Support Vector Machine (WOA-SVM) dengan kernel RBF dan pendekatan One vs Rest, dimana Whale Optimization Algorithm (WOA) digunakan sebagai optimasi parameter yang digunakan pada metode Support Vector Machine (SVM). Untuk mengatasi permasalahan dimensi data yang tinggi pada dataset yang digunakan, dilakukan seleksi fitur untuk reduksi dimensi data dengan menggunakan metode seleksi fitur filter Information Gain. Kinerja model dievaluasi berdasarkan nilai metrik accuracy, precision, recall, dan F1 Score dengan memperhatikan waktu klasifikasi dan proprosi train-test split berkisar dari 50%-90%. Hasil penelitian menunjukkan bahwa model WOA-SVM memperoleh kinerja terbaik dengan menggunakan 40 fitur terbaik dari hasil seleksi fitur Information Gain menghasilkan tingkat accuracy sebesar 99,5951%, precision sebesar 96,3928%, recall sebesar 99,8888%, F1 Score sebesar 98,0662%, dan waktu klasifikasi selama 16,831 detik. Hasil kinerja model WOA-SVM tersebut lebih baik jika dibandingkan dengan tanpa menggunakan seleksi fitur dan SVM tanpa optimasi parameter WOA.

---

The Internet of Things (IoT) is a technology that enables devices to communicate and transmit data over a network without human intervention. The complexity of IoT networks poses challenges in detecting attack properties and necessitates enhanced security measures. One of the most commonly employed defenses for IoT networks is the Intrusion Detection System (IDS). The use of IDS provides early warnings and can prevent potential attacks on the network. This study utilizes the Aegean Wi-Fi Intrusion Dataset (AWID2), which contains internet traffic data on Wi-Fi networks. The AWID2 dataset comprises 2 million records categorized into four classes: normal, impersonation, injection, and flooding. This research aims to classify types of cyber-attacks on IoT networks by applying machine learning techniques using the Whale Optimization Algorithm - Support Vector Machine (WOA-SVM) method with an RBF kernel and a One vs. Rest approach. The Whale Optimization Algorithm (WOA) is used to optimize the parameters employed in the Support Vector Machine (SVM) method. To address the high-dimensional data issue in the dataset, feature selection is performed to reduce data dimensions using the Information Gain filter method. The model's performance is evaluated based on the metrics of accuracy, precision, recall, and F1 Score, considering computation time and train-test split proportions ranging from 50% to 90%. The results indicate that the WOA-SVM model achieves the best performance by using the top 40 features from the Information Gain feature selection, yielding an accuracy of 99.5951%, precision of 96.3928%, recall of 99.8888%, F1 Score of 98.0662%, and a computation time of 16.831 seconds. The performance of the WOA-SVM model is superior compared to models without feature selection and SVM without WOA parameter optimization."