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The study of using big data analysis to detecting APT attack

Journal of computers (Taiwan) 2019年第1期30卷 206-222页

作者： Liu, Chung-Hsin Chen, Wei-Hung Department of Information Engineering and Computer Science Chinese Culture University Taipei111 Taiwan Graduate Institute of R and D Master Program in Information Security Industry Chinese Culture University Taipei106 Taiwan

An advanced persistent threat (APT) is a deliberately slow-moving cyberattack that is applied to quietly compromise interconnected information systems without revealing itself. APTs often use a variety of attack methods to get unauthorized system access initially and then gradually spread throughout the network. In contrast to traditional attacks, they are not used to interrupt services but primarily to steal intellectual property, sensitive internal business and legal documents and other data. Once an attack is successful, then the system timely detection is of paramount importance to mitigate its impact and will prohibit APTs from further spreading. For the early detection APT threat, this study proposes a detection mechanism, using Big Data and Splunk analysis, then using data mining techniques to find malicious IP position. Through the experimental results, decision tree algorithm is used as the best prediction model, and in the predictive model, the detection rate increased to 99%. Finally, this study established an alert system, can achieve real-time threat detection APT effect. 2019 © computer Society of the Republic of China. All Rights Reserved.

关键词： Big data

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AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Harsawardana Reza Rahutomo Bharuno Mahesworo Tjeng Wawan Cenggoro Arif Budiarto Teddy Suparyanto Don Bosco Surya Atmaja Bayu Samoedro Bens Pardamean Artificial Intelligence Research and Innovation Center for Agroindustry (AIRICA) Institut Pertanian STIPER Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mechatronics and AI Research & Development Center Biotechnic Innovation Yogyakarta Indonesia 55281 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Indonesia is one of the biggest palm oil exporters in the world. For Indonesia to stay competitive in thepalm oil industry, the harvesting and evacuating process in its oil palm plantation need to be optimized. This research introduces machinerycalled as Smart Crane Grabber. This machinery can be used for automatic harvesting and evacuation process of oil palm fresh fruit bunch. To enable automation, Smart Crane Grabber is equipped with an Artificial Intelligencesystem for automatic ripeness sorting. TheArtificial Intelligence system developed for Smart Crane Grabber achieves 71.34% accuracy by using only 400 images as preliminary training data.

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An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter

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Procedia computer science 2018年 135卷 579-586页

作者： Kahlil Muchtar Faris Rahman Tjeng Wawan Cenggoro Arif Budiarto Bens Pardamean Nodeflux Inc. Jakarta Indonesia Syiah Kuala University Aceh Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Foreground segmentation is one of moving object detection techniques of computer vision applications. To date, modern moving object detection methods require complex background modeling and thresholds tuning to confront illumination changes. This paper proposes an adaptive approach based on non-overlapping block texture representation. It aims to design a computationally light and efficient solution to improve the robustness of detection. We evaluate our proposed method on internal and public sequences and provide the quantitative and qualitative measurements. Experimental results show that the proposed method can improve the results of previous method and suitable for real-time challenges.

关键词： change detection foreground segmentation texture features

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Development of smart public transportation system in Jakarta city based on integrated IoT platform 1

Development of smart public transportation system in Jakarta...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Murad, Dina Fitria Abbas, Bahtiar Saleh Trisetyarso, Agung Suparta, Wayan Kang, Chul-Ho Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538609545

Travel security, traffic congestion and the efficiency of the global transport sector are key issues in some developing countries. Jakarta is one of the big cities and is the capital of Indonesia. This study aims to provide solutions to congestion problems in the capital city by maximizing the intelligent transportation system, convenient and safe for passengers. This research finds the fact that people's need for Trans Jakarta is relatively high but in fact it is not directly proportional to the public interest towards the use of Trans Jakarta buses. This study finds issues related to the needs and expectations of the community using Trans Jakarta facilities. Not only convenience and security and cheap price offered but also the ease and speed in transacting. This research provides ideas related to the facilities provided by Trans Jakarta as one of public transportation owned by the government. Combining smart phones with the use of internet-based technology (IOT). This research proposed an integrated system (integration platform). The solution with IOT-based technology enhancements makes it easy to present all information about bus availability, bus scheduling, booking places and easy online payment. This study uses a comparative study related to the needs of passengers in using Trans Jakarta. This study found the need of passengers for the existence of an integrated system that presents all information and ease of public transportation access in the city of Jakarta. © 2018 IEEE.

关键词： Internet of things

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Decision support system using data warehouse for retail system

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Journal of Physics: Conference Series 2019年第1期1367卷

作者： Abba Suganda Girsang Geri Arisandi Calista Elysisa Michelle Melva Hermayanty Saragih Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

CMK company is a retail company that sell and distributes miniature vehicle items to small stores. CMK has several branches in various countries that use for operational and storage warehouse. This company faces the problem for analysing sales to decide the useful strategy since this company only uses Online Transaction Processing (OLTP) database. This study implements Online Analysis Processing (OLAP) database and data warehouse to provide useful information for this company by using the nine-step method designed by Kimball & Ross. The data will be performed into dashboard to make easier for CMK Company to analyze data. Furthermore, many useful information can be provided in short and efficient time.

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Combined multiple neural networks and genetic algorithm with missing data treatment: Case study of water level forecasting in Dungun River - Malaysia

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2018年第2期45卷 246-254页

作者： Wibowo, Antoni Arbain, Siti Hajar Abidin, Norhaslinda Zainal Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Indonesia Faculty Computer Science Universiti Tun Hussein Onn Malaysia Malaysia Faculty of Computing Universiti Teknologi Malaysia Malaysia Department of Decision Sciences School of Quantitative Science Universiti Utara Malaysia Malaysia

We consider water level forecasting in Dungun River where the collected data contain missing values. Therefore, we cannot utilize a prediction technique to forecast the water level directly. To overcome this difficulty, we used Ordinary Linear Regression (OLR) and mean substitution to handle the imperfect data and to make the data meaningful. ARIMA and SARIMA are well known techniques and widely used in time series forecasting. Unfortunately, they produce a linear regression model that may improper model for water level forecasting. Instead, Backpropagation Neural Network (BPNN) and Nonlinear Autoregressive Exogenous Model (NARX) are alternative techniques to address the issue of linearity in regression. Nevertheless, they also have difficulties to determine the optimal network and regression coefficients/weights due to the randomness of their initial weights. Under this circumstance, we proposed Multiple BPNN and Genetic Algorithm (GA) to overcome the limitation of ARIMA/SARIMA, standalone BPNN and NARX. Our experiment showed that our proposed technique is superior compared to ARIMA, SARIMA, BPNN and NARX. © International Association of Engineers.

关键词： Neural networks

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A Simple Butterfly Lifecycle Algorithm for Measuring Company's Growth Performance

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IOP Conference Series: Materials science and Engineering 2019年第1期598卷

作者： D N Utama A Mitchell B Fieri H Richard Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Five states of butterfly metamorphoses in its lifecycle naturally inspire algorithm creation. A simple butterfly lifecycle algorithm (BLCA) was successfully created by imitating a real butterfly lifecycle in five stages study; preliminary analysis, literature review, input-process-output analysis, logic analysis, and algorithm construction. The algorithm was represented thru activity diagram, pseudo-code, and class diagram. The dummy case of measuring company growth performance used to experimentally test the algorithm.

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Design Metric Indicator to Improve Quality Software Development (Study Case: Student Desk Portal) 3

Design Metric Indicator to Improve Quality Software Developm...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Setiawan, Reina Rasjid, Zulfany Erlisa Effendi, Andy Computer Science Department School of Computer Science Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta11480 Indonesia

The development of Information Technology and Communications facilitate people running their daily lives. One of the important role in development is application development which is the main element in the development of technology. Due to this reason, it is required to have an application that would satisfy the criteria of standard qualities without any tolerance towards error and failure during process. This paper focused on the design of indicator that can be used in measuring qualities in application development, with Student Desk Portal at Bina Nusantara University used as case study is accessed by thousands of students each week. For this reason, the quality of the application is extremely important. The designed indicators are applied in the development of 35 modules in the Student Desk Portal application. The result shows that after applying the designed indicators in the application development, the number of bugs and errors found in the implementation drastically reduced from 43% to 23%. © 2018 The Author(s).

关键词： Students

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Improve Understanding and Dissemination of Disaster Management and Climate Change by Using Knowledge Management Systems

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Wahyu Sardjono Harisno Widhilaga Gia Perdana Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia

In Law Number 24 Year 2007 concerning Disaster Management, it is stated that the central government and regional governments are responsible for implementing disaster management, with an emphasis on preparedness and mitigation in dealing with natural disasters, as well as based on the provisions of article 1 of Presidential Regulation No. 46 of 2008 concerning the National Council on Climate Change that climate change is a change in average conditions of climate and / or climate diversity from one period of time to another as a result of human activity. However, the socialization of these two matters is not regulated in existing laws and regulations, so that the information dissemination plan and dissemination of the information must be carried out to the community itself. In line with developments in technology and information systems that have entered the era of media convergence, the acceleration of the process of spreading government programs can also be done by using this technology. The SECI method model (Socialization, Externalization, Combination, Internalization) was developed through implementation based on the 'Knowledge Management System Cycle' theory, so that a knowledge management system was formed. The results of research on community preparedness in the application of Knowledge Management Systems (KMS) for natural disaster preparedness and mitigation can be used to support the dissemination and dissemination of disaster management mitigation, global warming, and community-based climate change, including performance measurement of success.

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Success Factors of the Blockchain Adoption for Smart Manufacture

Success Factors of the Blockchain Adoption for Smart Manufac...

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2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018

作者： Surjandy Fernando, Erick Meyliana Kosala, Raymond Warnars, Harco Leslie Hendric Spits Abdurachman, Edi Supangkat, Suhono Harso Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Audit Program Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781538674222

Currently, the discussion about smart city becomes a trend topic in which the development of the Internet of Thing (IoT) is used in various sectors including in the manufacturing sector where the Indonesian government is intensively increasing the capacity and production quality. The use of IoT in both smart manufacture and smart city become an interesting thing topic for research and the combination of the new technology Blockchain, may proof the reliability of data. Trust, transparent, secure, real time online process as a new phenomenon to merge IoT with Blockchain technology into smart manufacturing technology. However, for maintaining quality and sustainability, required technology governance so the achievement of implementation can be done well. This research uses the method called Systematic Literature Review (SLR) find the Blockchain adoption factors for Smart Manufacturing Technology Governance and the research conducted on several reputable publications. The result found, there are 35 adoption success factors found from the adoption of blockchain technology into smart manufacture industry. The influence of the technology governance process in smart manufacture industry increase sustainability, realtime and accurate decision making for the industry. © 2018 IEEE.

关键词： Manufacture

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