• Title/Summary/Keyword: Data Falsification

Search Result 40, Processing Time 0.023 seconds

The Consequences of Data Fabrication and Falsification among Researchers

  • KANG, Eungoo;HWANG, Hee-Joong
    • Journal of Research and Publication Ethics
    • /
    • v.1 no.2
    • /
    • pp.7-10
    • /
    • 2020
  • Purpose: The experience by a researcher highlighted steps is guided by a specific ethical codes of conduct. The purpose of the current study is to discuss the fabrication and falsification of data as the key ethical misconduct committed by many researchers focus on their causes and impact in the research field. Research design, data and methodology: To obtain suitable textual resource, the current study used content analysis to closely take a look at the fabrication and falsification based on prior research in the realm of publication ethics. As a result, the current authors could collect and understand adequate textual data from appropriate prior resources. Results: The Research misconduct is a common practice in different countries across the world. Based on the findings from this study, data fabrication or falsification have a grievous impact on all the stakeholders of a study. The unethical behavior affects the parties concerned both psychologically and financially. Conclusions: It is, therefore, recommended that researchers should be held accountable. This can be done through different means, including raising awareness of vulnerability to data fabrication and falsification. The government and research institute should also advocate for effective policies guiding research studies across the world.

Mitigation of Adverse Effects of Malicious Users on Cooperative Spectrum Sensing by Using Hausdorff Distance in Cognitive Radio Networks

  • Khan, Muhammad Sajjad;Koo, Insoo
    • Journal of information and communication convergence engineering
    • /
    • v.13 no.2
    • /
    • pp.74-80
    • /
    • 2015
  • In cognitive radios, spectrum sensing plays an important role in accurately detecting the presence or absence of a licensed user. However, the intervention of malicious users (MUs) degrades the performance of spectrum sensing. Such users manipulate the local results and send falsified data to the data fusion center; this process is called spectrum sensing data falsification (SSDF). Thus, MUs degrade the spectrum sensing performance and increase uncertainty issues. In this paper, we propose a method based on the Hausdorff distance and a similarity measure matrix to measure the difference between the normal user evidence and the malicious user evidence. In addition, we use the Dempster-Shafer theory to combine the sets of evidence from each normal user evidence. We compare the proposed method with the k-means and Jaccard distance methods for malicious user detection. Simulation results show that the proposed method is effective against an SSDF attack.

Sequential fusion to defend against sensing data falsification attack for cognitive Internet of Things

  • Wu, Jun;Wang, Cong;Yu, Yue;Song, Tiecheng;Hu, Jing
    • ETRI Journal
    • /
    • v.42 no.6
    • /
    • pp.976-986
    • /
    • 2020
  • Internet of Things (IoT) is considered the future network to support wireless communications. To realize an IoT network, sufficient spectrum should be allocated for the rapidly increasing IoT devices. Through cognitive radio, unlicensed IoT devices exploit cooperative spectrum sensing (CSS) to opportunistically access a licensed spectrum without causing harmful interference to licensed primary users (PUs), thereby effectively improving the spectrum utilization. However, an open access cognitive IoT allows abnormal IoT devices to undermine the CSS process. Herein, we first establish a hard-combining attack model according to the malicious behavior of falsifying sensing data. Subsequently, we propose a weighted sequential hypothesis test (WSHT) to increase the PU detection accuracy and decrease the sampling number, which comprises the data transmission status-trust evaluation mechanism, sensing data availability, and sequential hypothesis test. Finally, simulation results show that when various attacks are encountered, the requirements of the WSHT are less than those of the conventional WSHT for a better detection performance.

Enhanced Robust Cooperative Spectrum Sensing in Cognitive Radio

  • Zhu, Feng;Seo, Seung-Woo
    • Journal of Communications and Networks
    • /
    • v.11 no.2
    • /
    • pp.122-133
    • /
    • 2009
  • As wireless spectrum resources become more scarce while some portions of frequency bands suffer from low utilization, the design of cognitive radio (CR) has recently been urged, which allows opportunistic usage of licensed bands for secondary users without interference with primary users. Spectrum sensing is fundamental for a secondary user to find a specific available spectrum hole. Cooperative spectrum sensing is more accurate and more widely used since it obtains helpful reports from nodes in different locations. However, if some nodes are compromised and report false sensing data to the fusion center on purpose, the accuracy of decisions made by the fusion center can be heavily impaired. Weighted sequential probability ratio test (WSPRT), based on a credit evaluation system to restrict damage caused by malicious nodes, was proposed to address such a spectrum sensing data falsification (SSDF) attack at the price of introducing four times more sampling numbers. In this paper, we propose two new schemes, named enhanced weighted sequential probability ratio test (EWSPRT) and enhanced weighted sequential zero/one test (EWSZOT), which are robust against SSDF attack. By incorporating a new weight module and a new test module, both schemes have much less sampling numbers than WSPRT. Simulation results show that when holding comparable error rates, the numbers of EWSPRT and EWSZOT are 40% and 75% lower than WSPRT, respectively. We also provide theoretical analysis models to support the performance improvement estimates of the new schemes.

Attack-Proof Cooperative Spectrum Sensing Based on Consensus Algorithm in Cognitive Radio Networks

  • Liu, Quan;Gao, Jun;Guo, Yunwei;Liu, Siyang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.4 no.6
    • /
    • pp.1042-1062
    • /
    • 2010
  • Cooperative spectrum sensing (CSS) is an effective technology for alleviating the unreliability of local spectrum sensing due to fading/shadowing effects. Unlike most existing solutions, this paper considers the use of CSS technology in decentralized networks where a fusion center is not available. In such a decentralized network, some attackers may sneak into the ranks of cooperative users. On the basis of recent advances in bio-inspired consensus algorithms, an attack-proof, decentralized CSS scheme is proposed in which all secondary users can maintain cooperative sensing by exchanging information locally instead of requiring centralized control or data fusion. Users no longer need any prior knowledge of the network. To counter three potential categories of spectrum sensing data falsification (SSDF) attacks, some anti-attack strategies are applied to the iterative process of information exchange. This enables most authentic users to exclude potentially malicious users from their neighborhood. As represented by simulation results, the proposed scheme can generally ensure that most authentic users reach a consensus within the given number of iterations, and it also demonstrates much better robustness against different SSDF attacks than several existing schemes.

Secure Cooperative Sensing Scheme for Cognitive Radio Networks (인지 라디오 네트워크를 위한 안전한 협력 센싱 기법)

  • Kim, Taewoon;Choi, Wooyeol
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.41 no.8
    • /
    • pp.877-889
    • /
    • 2016
  • In this paper, we introduce the basic components of the Cognitive Radio Networks along with possible threats. Specifically, we investigate the SSDF (Spectrum Sensing Data Falsification) attack which is one of the easiest attack to carry out. Despite its simplicity, the SSDF attack needs careful attention in order to build a secure system that resists to it. The proposed scheme utilizes the Anomaly Detection technique to identify malicious users as well as their sensing reports. The simulation results shows that the proposed scheme can effectively detect erroneous sensing reports and thus result in correct detection of the active primary users.

Publication Ethics and KODISA Journals

  • KIM, Dongho;YOUN, Myoung-Kil
    • Journal of Research and Publication Ethics
    • /
    • v.1 no.2
    • /
    • pp.1-5
    • /
    • 2020
  • Purpose: The purpose of this paper is to identify the most common misconducts in publication ethics, to demonstrate KODISA journals' management of the misconducts, and to share the findings with future and potential authors of Journal of Research and Publication Ethics (JRPE). Research design, data and methodology: This is an analytical study that explores and examines research and publication ethics and misconducts. Results: Based on literature review, major publication misconducts that many academic journals had to contend with over the years encompass unethical authorship, including ghost, guest, and gift authorships, data falsification and fabrication, plagiarism, including self-plagiarism, submission and publication fraud (multiple submission and publication), and potential conflicts of interest. Conclusions: KODISA and its journals have strived and done great work in making the journals transparent and in combatting the issues associated with plagiarism, including self-plagiarism. However, it seems there is no mechanism to detect or deter unethical authorship, conflicts of interest, and fabrication and falsification misconducts. The inception of JRPE signifies how KODISA and its journals continuously view research and publication ethics as their foremost important factor in maintaining and improving the academic journals. The future research and scholastic manuscripts of JRPE could provide necessary and updated information about research and publication ethics, practices, and misconducts.

Design and Implementation of Digital Jikin using Smartphone Application

  • Hong, Daewon;Kang, Miju;Chun, Junchul
    • Journal of Internet Computing and Services
    • /
    • v.18 no.5
    • /
    • pp.87-94
    • /
    • 2017
  • Due to the recent advances of IT industry, many companies and institutions have been used electronic documents rather than original paper copies. However, the characteristic of electronic document allows it to be readily damaged from proscribed copying, counterfeit, and falsification. These can cause the serious security problems for electronic documents. Conventional security methods for digital documents involve adding a separated image or marker, but these methods can reduce the readability of document. Therefore, we proposed a digital Jikin (Korean traditional stamp) which is normally used to identify the source or author of a document in asia. The proposed digital Jikin can preserve the readability of electronic document while protecting the document from proscribed copying, counterfeit, or falsification using image processing approach. In this paper, a digital Jikin application is designed and implemented under android platform and it converts the critical information of document onto the digital Jikin. The proposed digital Jikin contains important information in the boundary of Jikin not only about the author of documents or source, but also keywords, number of images, and many more. Therefore, the authenticity of document or whether the document has been altered or not by other person can be evaluated by the server. The proposed digital Jikin can be sent to a server through the wireless networks and can be stored using PHP and MySQL. We believe that the proposed method can offer the better and simple solution for strengthening the security of electronic document.

u-Healthcare Service Authentication Protocol based on RFID Technology (RFID 기술을 이용한 u-헬스케어 서비스 인증 프로토콜)

  • Jeong, Yoon-Su;Lee, Sang-Ho
    • Journal of Digital Convergence
    • /
    • v.10 no.2
    • /
    • pp.153-159
    • /
    • 2012
  • Now a days, U-healthcare comes into the spotlight as a new business model which combines RFID technology with medical service in the well-being era and IT popularization. U-healthcare service needs a method that can deals with hand-writing, overlap data, forgery and falsification of data, difference between information version that happen in medical process because of graft between RFID technology and u-healthcare. This paper proposes RFID based user certification protocol to protect user's privacy who gets medical service through U-healthcare. In the protocol, secret information of patient does the XOR with the secret key that is created in the hospital to reconsider the stability of security system of U-healthcare and user's data forgery and falsification and privacy and then saves it in the secret key field of patient in DB table. Also, it informs the case of illegal access to certification server and make it approved the access of u-healthcare service by differentiating whether u-healthcare is illegal or not.

ENF based Detection of Forgery and Falsification of Digital Files due to Quadratic Interpolation (이차 보간에 따른 ENF 기반의 위변조 디지털 파일 탐지 기법)

  • Park, Se Jin;Yoon, Ji Won
    • Journal of KIISE
    • /
    • v.45 no.3
    • /
    • pp.311-320
    • /
    • 2018
  • Recently, the use of digital audio and video as proof in criminal and all kinds of litigation is increasing, and scientific investigation using digital forensic technique is developing. With the development of computing and file editing technologies, anyone can simply manipulate video files, and the number of cases of manipulating digital data is increasing. As a result, the integrity of the evidence and the reliability of the evidence Is required. In this paper, we propose a technique for extracting the Electrical Network Frequency (ENF) through a grid of power grids according to the geographical environment for power supply, and then performing signal processing for peak detection using QIFFT. Through the detection algorithm using the standard deviation, it was confirmed that the video file was falsified with 73% accuracy and the forgery point was found.