This paper presents a novel approach for an Intrusion Detection System (IDS) based on one kind of asymmetric optimization which use any three already well-known IDS algorithms and Triple Modular Redundancy (TMR) algorithm together. Namely, a variable threshold which indicates an attack on an observed and protected network is determined by using all three values obtained with three known IDS algorithms i.e., on previously recorded data by making a decision by majority. For these algorithms authors used algorithm of k-nearest neighbors, cumulative sum algorithm, and algorithm of exponentially weighted moving average. Using a proposed method we can get a threshold that is more precisely determined than in the case of any method individual. Practically, using TMR we obtain a dynamically threshold adjustment of IDS software, which reduces the existence of false alarms and undetected attacks, so the efficiency of such IDS software is notably higher and can get better results. Today, Denial of Service attacks (DoS) are one of the most present type of attacks and the reason for the special attention paid to them in this paper. In addition, the authors of the proposed method for IDS software used a known CIC-DDoS2019 dataset, which contains various data recordings of such attacks. Obtained results with the proposed solution showed better characteristics than each individual used algorithm in this solution. IDS software with the proposed method worked precisely and timely, which means alarms were triggered properly and efficiently.
Modern scientific research is often multidisciplinary, involving scientists from two or more backgrounds. A multidisciplinary approach is frequently necessary to advance our knowledge in a diverse range of fields, from genomics to climate change. Many of the projects undertaken in these areas involve a combination of field, lab, and computational analysis components. Our research initiatives demonstrate how the principles of active learning -performing tasks while engaging in analysis, synthesizing and evaluating the tasks being performed [10] -can be applied to undergraduate science education using 16S rRNA metagenomics as the basis. Beginning with development of the scientific questions, students work through the entire process of designing, testing and implementing physical and digital sampling protocols, hardware and software platforms for collecting geographically coded (geocoded) environmental metadata, and lab protocols; they work in the field taking samples and in the lab preparing them; they perform the computational analysis of the sequencer output and synthesis of metadata and metagenomic data; and finally they disseminate the results. The students come primarily from backgrounds in computer science, biology, geology, and physics. This broad range makes it possible to select teams that cover many of the traditionally underrepresented groups in science. Working together for a year or more, the students learn the science, vocabularies, skill sets, etc. of all the disciplines, as well as how their own discipline, in conjunction with others, contributes to addressing large, complex questions.
This paper presents Android-based SOS platform named SOSerbia for sending emergency messages by citizens in Serbia. The heart of the platform is SOS client Android application which is an easy and simple solution for sending SOS messages with unique combination of volume buttons. The proposed platform solves a lot of safety, security, and emergency problems for people who can be in dangerous situations. After a person presses a correct combination of buttons, a message with his or her location is sent to the operating center of the Serbian Police. The platform merges several appropriately combined advanced Android technologies into one complete solution. The proposed solution also uses the Google location API for getting user’s location and Media Player broadcast receiver for reading pressed buttons for volume. This logic can be also customized for any other mobile operating system. In other words, the proposed architecture can be also implemented in iOS or Windows OS. It should be noted that the proposed architecture is optimized for different mobile devices. It is also implemented with simple widget and background process based on location. The proposed platform is experimentally demonstrated as a part of emergency response center at the Ministry of Interior of the Republic of Serbia. This platform overcomes real-life problems that other state-of-the-art solutions introduce and can be applied and integrated easily in any national police and e-government systems.
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