Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
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Implementing Flash Event Discrimination in IP Traceback using Shark Smell Optimisation Algorithm
Denial of service attack and its variants are the largest ravaging network problems. They are used to cause damage to network by disrupting its services in order to harm a business or organization. Flash event is a network phenomenon that causes surge in normal network flow due to sudden increase in number of network users, To curtail the menace of the Denial of service attack it is pertinent to expose the perpetrator and take appropriate action against it. Internet protocol traceback is a network forensic tool that is used to identify source of an Internet protocol packet. Most of presently available Internet protocol traceback tools that are based on bio-inspired algorithm employ flow-based search method for tracing source of a Denial of service attack without facility to differentiate flash event from the attack. Surge in network due to flash event can mislead such a traceback tool that uses flow-based search. This work present a solution that uses hop-by-hop search with an incorporated discrimination policy implemented by shark smell optimization algorithm to differentiate the attack traffic from other traffics. It was tested on performance and convergence against an existing bio-inspired traceback tool that uses flow-base method and yielded outstanding results in all the test
Mitigating Coordinated Call Attacks On VoIP Networks Using Hidden Markov Model
Abstract This paper presents a 2-tier scheme for mitigating coordinated call attacks on VoIP networks. Call interaction pattern was considered using talk and salient periods in a VoIP call conversation. At the first-tier, Short Term Energy algorithm was used for call interaction feature extraction and at the second-tier Hidden Markov Model was used for caller legitimacy recognition. Data of VoIP call conversations were collated and analyzed to extract distinctive features in VoIP call interaction pattern to ascertain the legitimacy of a caller against coordinated call attacker. The performance metrics that was used are; False Error Rate (FER), Specificity, Detection Accuracy and Throughput. Several experiments were conducted to see how effective the mitigating scheme is, as the scheme acts as a proxy server to Session Initiation Protocol (SIP) server. The experiments show that; when the VoIP server is under coordinated call attack without a mitigating scheme only 15.2% of legitimate VoIP users had access to the VoIP network and out of which about half of the legitimate users had their calls dropped before completion, while with the 2-tier mitigating scheme, when the VoIP server is under coordinated call attacks over 90.3% legitimate VoIP callers had their calls through to completio
Genetic Algorithm for Teaching Distribution based on Lecturers’ Expertise
The teaching distribution for lecturers based on their expertise is very important in the teaching and learning process. Lecturers who teach a course that is in accordance with their interests and abilities will make it easier for them to deliver material in class. In addition, students will also be easier to accept the material presented. However, in reality, the teaching distribution is often not in accordance with the expertise of the lecturer so that the lecturers are not optimal in providing material to their students. This problem can be solved using optimization methods such as the genetic algorithm. This study offers a solution for teaching distribution that focuses on the interest of each lecturer by considering the order of priorities. The optimal parameters of the test results are crossover rate (cr) = 0.6, mutation rate (mr) = 0.4, number of generations = 40, and population size = 15. Genetic algorithm is proven to be able to produce teaching distribution solutions with a relatively high fitness value at 4903.3
Point Clipping Algorithm on Employee Presence Application for Geolocation of Employee Position
In organizations, companies or agencies such as the Office of Communication and Information Technology, presence has become one of the critical things in assessing the performance of workers/employees. There are several ways to do attendance, where one of them can facilitate the present process with digital tools/machines such as smartphones that utilize the GPS feature to run APIs such as Google Geolocation on Android. Also, a system is needed that can manage the results of the present process, such as web-based applications that can also be accessed through either a computer or smartphone. Therefore, the need to build a presence application both in the presence and in management that can help agencies such as Office of Communication and Information (Diskominfo) to handle internal processes, especially in the management of its employees. In this study, the application in the construction of its application is used Point Clipping algorithm as a tool for the present process that can take advantage of the GPS feature. Based on the results of the tests conducted, the accuracy value of the incoming and returning attendance process was obtained in the location area with an average of each side of the area of approximately 11.21 meters at the entry point and 18.05 meters at the presence of going home outside the office, where the location area boundary outside the specified office which is around 15 meters and the time test is obtained the time delay value in the attendance process with an average of each side of the area of about 9.6 seconds at the incoming attendance and 8.3 seconds at the home attendance
Live Forensics Analysis of Line App on Proprietary Operating System
The development of computer technology is increasing rapidly. This has positive and negative effects. One of the negative effects that occurred was the use of Line applications to conduct online shop fraud. Line is one of the instant messenger applications that can be used on computers, especially on Windows 8.1 operating system computers. Applications that run on the computer leave traces of data on Random Access Memory (RAM). Data left in RAM can be obtained using digital forensic techniques, namely live forensics which is used when the computer is running and connected to the internet. This study aims to find digital evidence regarding cases of online shop fraud using the National Institute of Standards and Technology (NIST) method. Digital evidence can be obtained using forensic tools, namely RamCapturer, FTK Imager and Winhex. RamCapturer is used to acquire data in RAM, FTK Imager is used for imaging and Winhex is used to analyze data that has been taken. The results obtained in this study were conversational recordings consisting of conversation time, conversation content and conversation status which could be digital evidence in uncovering the online shop fraud crime that occurred
A Monitoring System of Ankle Rehabilitation For Paralyzed Patients Using Android Aplication
A Monitoring system of ankle rehabilitation for paralyzed patients was successfully designed. The monitoring application on Android smartphone was made app inventor. This application uses bluetooth HC-05 as a data transmission between the ankle therapy aids and smartphone Android. A MPX5050DP sensor is used to determine the muscle condition of the paraplegic to measure the muscle strength scale and control the motor dc speed of ankle rehabilitation hardware. The virtual keys on the application are five instructions of therapeutic movement such as, dorsiflexion (200), plantarflection (450), eversion (100), inversion (100) and patterned of movement. The access time to operate the ankle rehabilitation hardware is 0.8 seconds. This application includes an alarm and a database that can be used as a monitoring system. An alarm menu serves as a reminder for patients to take therapy and database to store data readings of sensors that converted into scale and muscle pressure. A MPX55050DP sensor output is displayed on smartphone application, stored in database and the therapy results are reserved to document format. The capacity of the database corresponds to the memory on the smartphone. Based on the measurement results, the ankle therapy application on android smartphone can control the system movement of ankle therapy aids and as a monitoring system of therapy results for paralyzed patients and make easily in analyzing the condition of leg muscle strength
Instant Messaging Forensic Analysis on Android Operating System
WhatsApp (WA) is one of the Instant Messaging (IM) applications used by many people. WA and mobile devices cannot be separated from the possibility of misuse such as for criminal purposes. To handle a crime case involving a mobile device, the investigator needs to use suitable forensic tools and mobile forensic methodology so that the results can be approved and accepted by the law. This research conducted a forensic analysis of WA on unrooted Samsung C9 Pro devices using Belkasoft Evidence, Oxygen Forensic, Magnet AXIOM, and WA Key/DB Extractor. This research gives suggestion about forensic tools for conducting forensic analysis related to WA. From the research can be seen that there is no tool that can be used to obtain all the WA artifact parameters used in the research. The combination of the Magnet AXIOM and WA Key/DB Extractor is known to get the best results and meets the WA artifact parameters
Monitoring Fuel Oil Based Radio Frequency Identification (RFID) Client
Motorcycles are a means of transportation which plays an important role in people's lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driver’s identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.
Genetic Algorithm Application for Navigation System on Virtual Shop
Online shop becomes one of the updated common types of shop in the era of rapidly grown technology development, yet this system provides its drawbacks. One of the problems which commonly found is a great deal of scamming practices for profit-oriented aims. Virtual shop is defined as a virtual reality application allowing its user to experience shopping in virtual world. A navigation system is required to enable its users in finding out the expected product. Genetic algorithm is one of many search algorithms based on natural selection and natural genetics. On this algorithm, data and string are executed through process of selection to generate problem solving solution. Using this algorithm, the navigation system is proved to be successful on generating path leading to expected product in the virtual shop
Business Process Assessment with Balanced Scorecard and Framework COBIT
Manufacturing company is the company that produces household appliances based on plastic / plastic houseware, this company has applied information system but there is often problem in sales department that is when processing of data discount, data obtained wrong and not according to which have been determined. Therefore, the author is given the task to audit the information system on the company. The author uses the COBIT and Balance Scorecard framework, the COBIT domain used is the Plan and Organize (PO) and Acquire and Implement (AI), in the PO Domain the author uses PO4 sub-domains (Define the IT Processes, Organization and Relationships) Communications management aims and direction) and PO 9 (Assess and Manage IT risks) whereas in AI Domain used is AI4 (Enable Operation and Use), Balanced Scorecard Perspective used in this research is Internal Business Process, which focuses on business process assessment company and business goals have been in line with IT goals. The results from this research is still many deficiencies that exist in company especially at risk management of IT proven and IT risk management that have not managed maximally so that can be developed in the future