The ubiquitous nature of the IoT devices has brought serious security implications to its users. A lot of consumer IoT devices have little to no security implementation at all, thus risking user's privacy and making them target of mass cyber-attacks. Indeed, recent outbreak of Mirai botnet and its variants have already proved the lack of security on the IoT world. Hence, it is important to understand the security issues and attack vectors in the IoT domain. Though significant research has been done to secure traditional computing systems, little focus was given to the IoT realm. In this work, we reduce this gap by developing a honeypot framework for IoT devices. Specifically, we introduce U-PoT: a novel honeypot framework for capturing attacks on IoT devices that use Universal Plug and Play (UPnP) protocol. A myriad of smart home devices including smart switches, smart bulbs, surveillance cameras, smart hubs, etc. uses the UPnP protocol. Indeed, a simple search on Shodan IoT search engine lists 1,676,591 UPnP devices that are exposed to public network. The popularity and ubiquitous nature of UPnPbased IoT device necessitates a full-fledged IoT honeypot system for UPnP devices. Our novel framework automatically creates a honeypot from UPnP device description documents and is extendable to any device types or vendors that use UPnP for communication. To the best of our knowledge, this is the first work towards a flexible and configurable honeypot framework for UPnP-based IoT devices. We released U-PoT under an open source license for further research on IoT security and created a database of UPnP device descriptions. We also evaluated our framework on two emulated deices. Our experiments show that the emulated devices are able to mimic the behavior of a real IoT device and trick vendor-provided device management applications or popular IoT search engines while having minimal performance ovherhead.

The smart-house technology aims to increase home automation for personal comfort, security, and reduced energy consumption. The approach that has been done is direct control over smart home devices, this approach needs fixed IP. Unfortunately to use fixed IP need expensive cost. and in the case of multiple smart homes, it also makes multiple expensive costs. This paper purpose the method to create a smart home controlling and monitoring system with lower cost, and in the case multiple smart homes cost still not grow up. This paper purpose new approach with using database replication. The Result of this research is can make online multiple smart homes, and easy to access with HTTP and www.

Pada era modern ini pemotretan udara tidak hanya menggunakan pesawat berawak, namun dapat juga menggunakan pesawat tanpa awak atau UAV (Unamanned Aerial Vechicle) pesawat tanpa awak ini lebih dikenal dengan istilah drone yang saat ini dengan harga terjangkau, mudah didapatkan serta memiliki kemapuan melakukan pemotretan seperti pesawat berawak. Kelebihan utama dari drone, dibandingkan dengan pesawat berawak adalah bahwa drone dapat digunakan pada situasi dengan resiko tinggi, tanpa perlu membahayakan nyawa manusia, dan pada area yang tidak dapat diakses. Drone umumnya terbang pada ketinggian rendah sehingga foto yang dihasilkan terbebas dari awan.Tujuan dari penelitian ini adalah Memetakan Kawasan Hutan Pendidikan Fakultas Kehutanan Unmul (HPFU) dengan menggunakan Pesawat Tanpa Awak atau UAV (Unmanned Aerial Vehicle). Mengidentifikasi dan mengetahui luasan masing-masing penutupan lahan pada Kawasan Hutan Pendidikan Fakultas Kehutanan Unmul (HPFU) dengan menggunakan citra foto udara. Penelitian ini dilakukan kurang lebih 2 bulan efektif.Hutan Pendidikan Fakultas Kehutanan Unmul menjadi objek dilakukan penelitan dengan menggunakan Drone DJi Phantom 4 Pro V.2 dan menggunakan software pengolahan foto udara yaitu Agisoft Photoscan.Hasil analisis data yaitu penggunaan lahan di HPFU didapatkan 12 jenis penggunaan lahan dan tutupan lahan. Hasil analisis spasial untuk luas dan masing-masing jenis penggunaan lahan terdiri dari Aren, Belukar rawa, Hutan sekunder, Kebun buah Naga, Kebun sawit, Lahan terbuka, Pemukiman, Pertanian Lahan Kering, Semak, Tambak ikan, Tambang dan Tubuh air.

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