Tri Kuntoro Priyambodo

Bio: Tri Kuntoro Priyambodo is an academic researcher from Gadjah Mada University. The author has contributed to research in topics: Tourism & PID controller. The author has an hindex of 7, co-authored 61 publications receiving 230 citations.

Internet of Things (IoT) of Smart Home: Privacy and Security

Abstract: The smart home is an environment, where heterogeneous electronic devices and appliances are networked together to provide smart services in a ubiquitous manner to the individuals. organization and people are wide accepting and adopting the functionalities offered by the smart home applications. this can be because of the various advantages, in easing users’ everyday life and work, provided by the rising internet of Things (IoT) technologies and devices, equipped with sensors, cameras, or actuators, and able either to accumulate information from the environment or to perform proper tasks. the main features of smart homes embrace realtime monitoring, remote control, safety from intruders, gas/fire alarm, and so on. Since among smart homes, sensitive and personal data are managed, security and privacy solutions should be put in place, to protect users/businesses’ data against violation try still on guarantee the supply of reliable services. As IoT home devices become increasingly ubiquitous, study’s findings and recommendations contribute to the broader understanding of users’ evolving attitudes towards privacy in smart homes.

Digital Evidence Cabinets: A Proposed Framework for Handling Digital Chain of Custody

Abstract: Chain of custody is the procedure to do a chronological documentation of evidence, and it is an important procedure in the investigation process. Both physical and digital evidence is an important part in the process of investigation and courtroom. However, handling the chain of custody for digital evidence is more difficult than the handling of physical evidence. Nevertheless, the handling of digital evidence should still have the same procedure with the handling of physical evidence. Until now handling the chain of custody for digital evidence is still an open problem with a number of challenges, including the business model of the interaction of the parties that deal with digital evidence, recording of metadata information as well as issues of access control and security for all the handling digital chain of custody. The solution offered in this research is to build a model of Digital Evidence Cabinets as a new approach in implementing the digital evidence handling and chain of custody. The model is constructed through three approaches: Digital Evidence Management Frameworks, Digital Evidence Bags with Tag Cabinets as well as access control and secure communication. The proposed framework is expected to be a solution for the availability of an environment handling of digital evidence and to improve the integrity and credibility of digital evidence.

A Proposed Digital Forensics Business Model to Support Cybercrime Investigation in Indonesia

Abstract: Digital forensics will always include at least human as the one who performs activities, digital evidence as the main object, and process as a reference for the activities followed. The existing framework has not provided a description of the interaction between human, interaction between human and digital evidence, as well as interaction between human and the process itself. A business model approach can be done to provide the idea regarding the interaction in question. In this case, what has been generated by the author in the previous study through a business model of the digital chain of custody becomes the first step in constructing a business model of a digital forensics. In principle, the proposed business model already accommodates major components of digital forensics (human, digital evidence, process) and also considers the interactions among the components. The business model suggested has contained several basic principles as described in The Regulation of Chief of Indonesian National Police (Perkap) No 10/2010. This will give support to law enforcement to deal with cybercrime cases that are more frequent and more sophisticated, and can be a reference for each institution and organization to implement digital forensics activities.

Model of Linear Quadratic Regulator (LQR) Control Method in Hovering State of Quadrotor

Abstract: Quadrotor is an unmanned aircraft which has vertical take-off and landing (VTOL) capability. However quadrotor requieres a good control system to itself during flight. So, the aim of this research is to design and implement a control system on quadrotor using LQR method to obtain the best feedback gain K value in hover state. LQR is a method that calculates the optimal feedback gain K. The feedback gain K can determined by tuning of Q and R. The feedback gain is used to control the system in control signal form. The control signal values are converted into PWM to control brushless motor speed to maintain quadrotor's position. The test results show, Q and R values of the same roll and pitch were Q = 0.08 and R = 1, where the average angle of roll of 0.25 degrees and the average angle of pitch of 0.15 degrees. While the value of Q and R yaw angles were Q = 0.01 and R = 1, the yaw angle maintains in the range of an angle of 0 degrees to 2 degrees. As for the rise time, roll angle was able to handle distractions for 0.09 seconds, 0.15 seconds during the pitch angle and 0.12 seconds during the yaw angle.

Optimizing control based on ant colony logic for Quadrotor stabilization

Abstract: Quadrotor as one type of UAV (Unmanned Aerial Vehicle) have the ability to perform Vertical Take Off and Landing (VTOL). It allows the Quadrotor to be stationary hovering in the air. PID (Proportional Integral Derivative) control system is one of the control methods that are commonly used. It is usually used to optimize the Quadrotor stabilization at least based on the three Eulerian angles (roll, pitch, and yaw) as input parameters for the control system. The three constants of PID can be obtained in various ways or methods. However, to produce a robust control, we need a method that can optimize the PID components. Ant Colony Optimization (ACO) is one of PID controller optimization method which adapted by ant colony ability to find the shortest way from their nest to food. Some ACO parameters are number of ants, parameters, and pheromone constant for pheromone. Pheromones are the values given by the ants when they use the road.

Design and Fabrication of Smart Home With Internet of Things Enabled Automation System

Abstract: Home automation systems have attracted considerable attention with the advancement of communications technology. A smart home (SH) is an Internet of Things (IoT) application that utilizes the Internet to monitor and control appliances using a home automation system. Lack of IoT technology usage, unfriendly user interface, limited wireless transmission range, and high costs are the limitations of existing home automation systems. Therefore, this study presents a cost-effective and hybrid (local and remote) IoT-based home automation system with a user-friendly interface for smartphones and laptops. A prototype called IoT@HoMe is developed with an algorithm to enable the monitoring of home conditions and automate the control of home appliances over the Internet anytime and anywhere. This system utilizes a node microcontroller unit (NodeMCU) as a Wi-Fi-based gateway to connect different sensors and updates their data to Adafruit IO cloud server. The collected data from several sensors (radio-frequency identification, ultrasonic, temperature, humidity, gas, and motion sensors) can be accessed via If This Then That (IFTTT) on users' devices (smartphones and/or laptops) over the Internet regardless of their location. A set of relays is used to connect the NodeMCU to homes under controlled appliances. The designed system is structured in a portable manner as a control box that can be attached for monitoring and controlling a real house. The proposed IoT-based system for home automation can easily and efficiently control appliances over the Internet and support home safety with autonomous operation. IoT@HoMe is a low cost and reliable automation system that reduces energy consumption and can notably provide convenience, safety, and security for SH residents.

A blockchain-based smart home gateway architecture for preventing data forgery

Abstract: With the advancement of Information and Communication Technology (ICT) and the proliferation of sensor technologies, the Internet of Things (IoT) is now being widely used in smart home for the purposes of efficient resource management and pervasive sensing. In smart homes, various IoT devices are connected to each other, and these connections are centered on gateways. The role of gateways in the smart homes is significant, however, its centralized structure presents multiple security vulnerabilities such as integrity, certification, and availability. To address these security vulnerabilities, in this paper, we propose a blockchain-based smart home gateway network that counters possible attacks on the gateway of smart homes. The network consists of three layers including device, gateway, and cloud layers. The blockchain technology is employed at the gateway layer wherein data is stored and exchanged in the form blocks of blockchain to support decentralization and overcome the problem from traditional centralized architecture. The blockchain ensures the integrity of the data inside and outside of the smart home and provides availability through authentication and efficient communication between network members. We implemented the proposed network on the Ethereum blockchain technology and evaluated in terms of standard security measures including security response time and accuracy. The evaluation results demonstrate that the proposed security solutions outperforms over the existing solutions.