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Nugroho Dedi . Riyanto - One of the best experts on this subject based on the ideXlab platform.

  • ANALISIS PERBANDINGAN EFEKTIVITAS IDS (INTRUSION DETECTION SYSTEM) Snort DAN SURICATA TERHADAP SERANGAN DENGAN METODE SIMULASI DI PUSTIKOM UNJ (Penelitian pada mahasiswa semester ix tahun akademik 2019/2020 Jurusan Pendidikan Teknik Informatika dan K
    2020
    Co-Authors: Nugroho Dedi . Riyanto
    Abstract:

    Di lingkungan Pustikom UNJ kampus A Universitas Negeri Jakarta keamanan yang efektiv pada jaringan sangat dibutuhkan untuk menjaga kerahasiaan data pada server, memangkas aktifitas oknum yang tidak bertanggung jawab serta aktifitas dari luar kampus. Pustikom UNJ menyediakan fasilitas internet yang bias diakses mahasiswa, dosen dan karyawan melalui internet yang disebarkan melalui server pustikom UNJ. User dapat mengakses segala jenis aktifitas pada jaringan yang bersifat rahasia sekalipun tanpa khawatir diretas oleh oknum tidak bertanggung jawab yang dapat memantau kapan saja. Oleh sebab itu, dibutuhkan keamanan efektiv dalam mendeteksi adanya aktifitas yang tidak wajar. Analisa dan perbandingan IDS Snort dan Suricata untuk mengukur tingkat akurasi kecepatan deteksi dengan serangan simulasi. Proses untuk mencari perbandingan yang efektiv dari segi kecepatan pendeteksian dimulai dari menginstal sistem operasi ubuntu dan windows yang berfungsi untuk menjalankan perangkat lunak serta aplikasi yang digunakan, menginstal perangkat lunak Snort, suricata, cacti dan aplikasi hacking untuk simulasi serangan nya, dan simulasi yang dilakukan menggunakan jaringan lokal khusus tanpa mengganggu jaringan yang ada. Proses pengujian proses pengukuran dilakukan di dalam mesin virtual simulasi dengan serangan denial of service, port scanning dan remote access terminal dari sisi perangkat lunak dan kecepatan pendeteksian dari masing-masing perangkat lunak. Hasil penelitian Snort lebih unggul dalam hal mendeteksi serangan akan tetapi Suricata lebih unggul dalam hasil penggunaan sumber daya pada hasil pengukuran. Kata kunci : IDS Snort dan suricata, jaringan lokal, kecepatan pendeteksian, serangan simulasi In the environment of Pustikom UNJ campus A State University of Jakarta, an effective security for networking is needed to keep the privacy of data on servers, cutting the activity of irresponsible people and activity from outside of campus. Pustikom UNJ provides internet facility that can be accessed by students, lecturers, and employees through internet that is spread by Pustikom UNJ’s server. Users can access any kind of activity on the network, even those that are private, without worrying being hacked by irresponsible people that can be watching anytime. Therefore, effective security is needed to detect these kinds of irresponsible activities. Analysis and comparison of IDS Snort and Suricata to measure the level of accuracy. The process to find an effective comparison of the detection speed started from Installing operating systems Ubuntu and Windows that function to run the software and application used, Installing Snort, Suricata, Cacti software and hacking software to simulate the attack, and simulation that was done using a special local network that did not affect the other networks. Measurements carried out in a virtual machine, simulating denial of sevice, port scanning and remote access terminal from the standpoint of software and detection speed of each software. Snort is superior research results in terms of detection accuracy will attack, however the speed and the use resources on the measurements results. Keywords: IDS Snort and Suricata, local network, detection speed, attack simulatio

Kumar Mayank - One of the best experts on this subject based on the ideXlab platform.

  • New Use Cases for Snort: Cloud and Mobile Environments
    2018
    Co-Authors: Erturk Emre, Kumar Mayank
    Abstract:

    First, this case study explores an Intrusion Detection System package called Snort (provided by Cisco Systems) in a cloud environment. Snort is an open source and highly scalable signature-based intrusion detection system. Here, Snort is deployed on Ubuntu Server 16.0.4 running on a virtual machine within a Microsoft Azure cloud system. This paper provides details on Installing Snort on the virtual machine and configuring it for intrusion detection. The architecture here is based on a VM integrated IDS on Azure and demonstrates how a VM instance in the cloud can be secured through an IDS. Firewalls may be considered the first line of defense but they fail to secure systems from inside attacks. Next, two other areas (where Snort is less widely used) are briefly explored, namely library systems and mobile devices. Finally, this paper makes further recommendations on how a cloud network can be secured by distributed placement of the IDS and on each VM instances

Erturk Emre - One of the best experts on this subject based on the ideXlab platform.

  • New Use Cases for Snort: Cloud and Mobile Environments
    2018
    Co-Authors: Erturk Emre, Kumar Mayank
    Abstract:

    First, this case study explores an Intrusion Detection System package called Snort (provided by Cisco Systems) in a cloud environment. Snort is an open source and highly scalable signature-based intrusion detection system. Here, Snort is deployed on Ubuntu Server 16.0.4 running on a virtual machine within a Microsoft Azure cloud system. This paper provides details on Installing Snort on the virtual machine and configuring it for intrusion detection. The architecture here is based on a VM integrated IDS on Azure and demonstrates how a VM instance in the cloud can be secured through an IDS. Firewalls may be considered the first line of defense but they fail to secure systems from inside attacks. Next, two other areas (where Snort is less widely used) are briefly explored, namely library systems and mobile devices. Finally, this paper makes further recommendations on how a cloud network can be secured by distributed placement of the IDS and on each VM instances