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Relevant bibliographies by topics / Target attack

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Academic literature on the topic 'Target attack'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Target attack"

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Zhao, Xia, Guowei Liu, and Lei Li. "Importance-driven denial of service attack strategy design against remote state estimation in multi-agent intelligent power systems." Intelligence & Robotics 4, no. 3 (2024): 244–55. http://dx.doi.org/10.20517/ir.2024.16.

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This paper introduces a novel importance-driven denial of service (IDoS) attack strategy aimed at impairing the quality of remote estimators for target agents within multi-agent intelligent power systems. The strategy features two key aspects. Firstly, the IDoS attack strategy concentrates on target agents, enabling attackers to determine the voltage sensitivity of each agent based on limited information. By utilizing these sensitivities, the proposed strategy selectively targets agents with high sensitivity to amplify disruption on the target agent. Secondly, unlike most existing denial of se

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Catellani, Patrizia, and Mauro Bertolotti. "The Effects of Counterfactual Attacks on Social Judgments." Social Psychology 45, no. 5 (2014): 371–81. http://dx.doi.org/10.1027/1864-9335/a000195.

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Two experiments were conducted to compare the effects of different styles of verbal criticism (factual vs. counterfactual) on the perceptions of target, source, and quality of the attack. Counterfactual attacks resulted in more negative overall judgment of the target and ratings of the target’s morality than either factual attacks or no attack. Counterfactual attacks were also rated more positively than factual attacks, and the source of the counterfactual attack was rated as being less biased against the target. Regression analyses confirmed that the observed effect on overall judgment was me

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Kaghazgaran, Parisa, Majid Alfifi, and James Caverlee. "TOmCAT: Target-Oriented Crowd Review Attacks and Countermeasures." Proceedings of the International AAAI Conference on Web and Social Media 13 (July 6, 2019): 302–12. http://dx.doi.org/10.1609/icwsm.v13i01.3231.

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Online platforms like Amazon, Yelp, and Regulations.gov give a voice to masses of users through reviews, comments, and ratings. However, this crowd-based feedback is susceptible to manipulation. To tackle this problem, most previous efforts have only indirectly sought to uncover targets of attacks by focusing on manipulation at the review or user level. Instead, this paper focuses on the challenge of countering target-oriented crowd attacks. We introduce a unique ground truth dataset of Amazon products that have been targeted for attack and identify two target-oriented attack patterns: (i) pro

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Santifort, Charlinda, Todd Sandler, and Patrick T. Brandt. "Terrorist attack and target diversity." Journal of Peace Research 50, no. 1 (2012): 75–90. http://dx.doi.org/10.1177/0022343312445651.

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Terrorists choose from a wide variety of targets and attack methods. Unlike past literature, this article investigates how diversity in target choice and attack modes among domestic and transnational terrorists has evolved and changed over the past 40 years. Changes in the practice of homeland security, which affects the marginal costs of target–attack combinations, and changes in the dominant terrorist influence at the global level, which affects the marginal benefits of target–attack combinations, drive the changepoints. Our empirical analysis relies on count data drawn from the Global Terro

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Yang, Rong, Fang Ming Huang, and Hua Jun Gong. "Best Attack Position Model for BVR Multi-Target Air Combat." Advanced Materials Research 1016 (August 2014): 511–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.511.

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Refer to the characteristics of BVR air combat and multi-target attack for the Fourth Generation Fighters, this paper constructs and computes the model of probability distributions in multi-target kill zone, the model of the best attack path/attack position of multi-target attack. The model of probability distributions in multi-target kill zone considers heading angle and approaching angle of target, distance between fighter and target, maximum off-boresight launching angle and killing angle. The model of the best attack path/attack position considers damage probability to targets by missiles,

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Zhang, Mingjiang, Junfei Bi, Tao Xie, Na Zhang, and Weihu Zhao. "Adversarial Patch Attack Method for Vehicle Target Detection." Journal of Physics: Conference Series 2717, no. 1 (2024): 012026. http://dx.doi.org/10.1088/1742-6596/2717/1/012026.

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Abstract Due to the susceptibility of intelligent recognition systems to adversarial sample attacks, research on adversarial sample attack methods for target detection is of great significance for improving the safety of vehicle autonomous driving. By studying the transfer-based self-ensemble attack adversarial sample generation algorithm, and based on the trained Faster R-CNN and YOLOX white box target detectors, a cross-model and cross-instance vehicle target detection attack method was designed. Through training, a universal adversarial patch was obtained, which achieved recognition attacks

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K., Dharani, Rajesh M., and T. Senthil Prakash Dr. "DEDUCTION ATTACK ON BROWSING HISTORY IN TWITTER USING PUBLIC CLICK ANALYTIC AND METADATA." International Journal of Computational Research and Development 1, no. 2 (2017): 107–10. https://doi.org/10.5281/zenodo.438971.

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Our attacks rely on the combination of publicly available information: click analytics from URL shortening services and metadata from Twitter. The goal of the attacks is to know which URLs are clicked on by target users. We introduce two different attack methods: (i) an attack to know who click on the URLs updated by target users and (ii) an attack to know which URLs are clicked on by target users. To perform the first attack, we find a number of Twitter users who frequently distribute shortened URLs, and investigate the click analytics of the distributed shortened URLs and the metadata of the

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Gao, Wei, Yunqing Liu, Yi Zeng, Quanyang Liu, and Qi Li. "SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research." Sensors 23, no. 4 (2023): 2266. http://dx.doi.org/10.3390/s23042266.

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The synthetic aperture radar (SAR) image ship detection system needs to adapt to an increasingly complicated actual environment, and the requirements for the stability of the detection system continue to increase. Adversarial attacks deliberately add subtle interference to input samples and cause models to have high confidence in output errors. There are potential risks in a system, and input data that contain confrontation samples can be easily used by malicious people to attack the system. For a safe and stable model, attack algorithms need to be studied. The goal of traditional attack algor

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Zeman, Tomáš. "Soft Targets: Definition and Identification." Academic and Applied Research in Military and Public 19, no. 1 (2020): 109–19. http://dx.doi.org/10.32565/aarms.2020.1.10.

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Available definitions describe a soft target as a location with high vulnerability, but a low level of protection. However, such general definitions can hardly be used in the process of soft targets identification. The aim of the article is to create a temporary specific definition that could be utilised for this purpose. The suggested definition of a soft target is based on performed statistical analysis of 275 cases of terrorist attacks aimed against soft targets in the European Union from 2000 to 2015. In the definition, a soft target is characterised based on the probability of a terrorist

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Riyadh, Rahef Nuiaa, Manickam Selvakumar, and Hakem Alsaeedi Ali. "Distributed reflection denial of service attack: A critical review." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5327–41. https://doi.org/10.11591/ijece.v11i6.pp5327-5341.

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As the world becomes increasingly connected and the number of users grows exponentially and “things” go online, the prospect of cyberspace becoming a significant target for cybercriminals is a reality. Any host or device that is exposed on the internet is a prime target for cyberattacks. A denial-of-service (DoS) attack is accountable for the majority of these cyberattacks. Although various solutions have been proposed by researchers to mitigate this issue, cybercriminals always adapt their attack approach to circumvent countermeasures. One of the modified DoS attacks is known as d

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Dissertations / Theses on the topic "Target attack"

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Pèrez, Juan-Pablo. "Analysis of the deceleration signal of a missile during a hard-target attack." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq25701.pdf.

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Maltagliati, Anthony, and Anthony Maltagliati. "Nrf2: A Candidate Therapeutic Target to Dampen Oxidative Stress in Acute Myocardial Infarction." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/623086.

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This literature review posits that the transcription factor Nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is an attractive candidate therapeutic target in the setting of acute myocardial infarction (AMI). This transcription factor binds to antioxidant response elements (ARE) in the promoter region of a battery of genes that collectively encode an array of antioxidant, phase II drug metabolism, metabolically stabilizing, and overall cytoprotective enzymes, facilitating their transcription at basal levels and increasing transcription in response to various cellular stressors. Following a br

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Turkcu, Ozlem. "Development Of An Electronic Attack (ea) System In Multi&amp." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609045/index.pdf.

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In this study, an expert system based EA and tracking system is developed and the performances of these systems are optimized. Tracking system consists of a monopulse tracking radar and a Multiple Hypothesis Tracking (MHT) algorithm. MHT is modelled as a measurement&amp<br>#8208<br>oriented approach, which is capable of initiating tracks. As each measurement is received, probabilities are calculated for the hypotheses and target states are estimated using a Kalman filter. Range Gate Pull-Off (RGPO) is selected as an EA technique to be developed because it is accepted to be the primary deceptio

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Njom, Victor S. "Mechanism of attack and molecular target(s) for plant cysteine proteinases on cuticles of parasitic nematodes and C. elegans." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/15301/.

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Parasitic nematodes cause enormous public health, agricultural and economic problems worldwide, as pathogens of humans, livestock and crops. Their impact is increasing due to lack of full efficacy of current anthelmintics and development of resistance by the nematodes, therefore there is an urgent need for an alternative. Plant cysteine proteinases (CP) from papaya (“papain”), fig (ficin), and pineapple (bromelain) have been shown to be effective on gastrointestinal (GI) nematodes. The enzymes attack by digesting the cuticle leading to rupture and death of the nematode. The nematode cuticle is

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Mauslein, Jacob A. "Three essays on international cyber threats: Target nation characteristics, international rivalry, and asymmetric information exchange." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18147.

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Doctor of Philosophy<br>Security Studies<br>Jeffrey J. Pickering<br>As the Internet is progressively integrated into industrial and defense-related networks around the globe, it is becoming increasingly important to understand how state and sub-state groups can use Internet vulnerabilities as a conduit of attack. The current social science literature on cyber threats is largely dominated by descriptive, U.S.-centric research. While this scholarship is important, the findings are not generalizable and fail to address the global aspects of network vulnerabilities. As a result, this dissertation

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Кролевецький, П. А. "Інформаційне та програмне забезпечення системи виявлення репутаційних атак в соціальних мережах". Master's thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/72320.

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Mitori, Tiffany Leilani. "Flight and Stability of a Laser Inertial Fusion Energy Target in the Drift Region between Injection and the Reaction Chamber with Computational Fluid Dynamics." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1154.

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A Laser Inertial Fusion Energy (LIFE) target’s flight through a low Reynolds number and high Mach number regime was analyzed with computational fluid dynamics software. This regime consisted of xenon gas at 1,050 K and approximately 6,670 Pa. Simulations with similar flow conditions were performed over a sphere and compared with experimental data and published correlations for validation purposes. Transient considerations of the developing flow around the target were explored. Simulations of the target at different velocities were used to determine correlations for the drag coefficient and Nus

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Broome, Simon Jeremy. "Essays on exchange rate target zone theory and speculative attacks." Thesis, University of York, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362061.

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Mella, Luca. "Ict security: Testing methodology for targeted attack defence tools." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6963/.

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La tesi di laurea presentata si inserisce nell’ampio contesto della Sicurezza Informatica, in particolare tratta il problema del testing dei sistemi di sicurezza concepiti per contrapporsi alle odierne minacce: gli attacchi mirati (Targeted Attacks) ed in generale le minacce avanzate persistenti (Advanced Persistent Threats). Il principale obiettivo del lavoro svolto è lo sviluppo e la discussione di una metodologia di test per sistemi di sicurezza focalizzati su questo genere di problemi. Le linee guida proposte hanno lo scopo di aiutare a colmare il divario tra quello che viene testato e qu

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Mahr, Randolph L. "Evaluation of the Use of GPS-aided weapons to attack moving targets." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390918.

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Books on the topic "Target attack"

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Stone, Scott C. S. Target, Pearl Harbor. Island Heritage, 1986.

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Michael, Darling, and Seattle Art Museum, eds. Target practice: Painting under attack, 1949-78. Seattle Art Museum, 2009.

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Ervin, Clark Kent. Open target: Where America is vulnerable to attack. Palgrave Macmillan, 2006.

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Haberlin, Richard J. Analysis of unattended ground sensors in theater Missile Defense Attack Operations. Naval Postgraduate School, 1997.

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Duffy, James P. Target America: Hitler's plan to attack the United States. Praeger, 2004.

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Duffy, James P. Target America: Hitler's plan to attack the United States. Lyons Press, 2012.

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Flood, Robert P. The linkage between speculative attack and target zone models of exchange rates. National Bureau of Economic Research, 1989.

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Fund, International Monetary. "The linkage between speculative attack and target zone models of exchange rates". International Monetary Fund, 1989.

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Wakefield, Kenneth. Target Filton: The two Luftwaffe attacks in September, 1940. 2nd ed. Redcliffe, 1990.

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O'Meara, Norman T. Optimal attack against an area defense protecting many targets. Rand Corporation, 1989.

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Book chapters on the topic "Target attack"

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Hesterman, Jennifer. "Deterring and Mitigating Attack." In Soft Target Hardening. Routledge, 2018. http://dx.doi.org/10.4324/9780429422966-9.

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Manadhata, Pratyusa K. "Game Theoretic Approaches to Attack Surface Shifting." In Moving Target Defense II. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5416-8_1.

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Wang, Yubo, Hui He, Peng Zhang, Yuanchi Ma, Zhongxiang Lei, and Zhendong Niu. "An Adversarial Attack Method for Multivariate Time Series Classification Based on AdvGAN." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_19.

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Abstract Considering the complexity of time series data and real-world applications, multivariate time series classification models are vulnerable to adversarial attacks. Although existing white-box attack strategies have made progress in generating adversarial samples, they rely on access to the target model’s parameters, training data, and gradients. Therefore, we apply AdvGAN framework for multivariate time series classification. AdvGAN is designed as a framework based on Generative Adversarial Networks (GANs), encompassing a generator, discriminator. The generator creates multivariate pert

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Namura, Shobu, and Alessandro Alessandrini. "The MEK/ERK pathway as a target for stroke therapy." In Strategic Medical Science Against Brain Attack. Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-68430-5_3.

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Nakip, Mert, and Erol Gelenbe. "Botnet Attack Detection with Incremental Online Learning." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09357-9_5.

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AbstractIn recent years, IoT devices have often been the target of Mirai Botnet attacks. This paper develops an intrusion detection method based on Auto-Associated Dense Random Neural Network with incremental online learning, targeting the detection of Mirai Botnet attacks. The proposed method is trained only on benign IoT traffic while the IoT network is online; therefore, it does not require any data collection on benign or attack traffic. Experimental results on a publicly available dataset have shown that the performance of this method is considerably high and very close to that of the sam

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Russell, John H., and Scott I. Abrams. "Target Cell Events Initiated by T-Cell Attack." In Cytotoxic Cells: Recognition, Effector Function, Generation, and Methods. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6814-4_19.

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Alsabbagh, Wael, and Peter Langendoerfer. "A Remote Attack Tool Against Siemens S7-300 Controllers: A Practical Report." In Technologien für die intelligente Automation. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64283-2_1.

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AbstractThis paper presents a series of attacks against Siemens S7-300 programmable logic controllers (PLCs), using our remote IHP-Attack tool. Due to the lack of integrity checks in S7-300 PLCs, such controllers execute commands whether or not they are delivered from a legitimate user. Thus, they were exposed to various kind of cyber-attacks over the last years such as reply, bypass authentication and access control attacks. In this work, we build up our tool to carry out a series of attacks based on the existing reported vulnerabilities of S7-300 PLCs in the research community. For real worl

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Hamborg, Felix. "Target Concept Analysis." In Revealing Media Bias in News Articles. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17693-7_4.

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AbstractThis chapter details the first component of person-oriented framing analysis: target concept analysis. This component aims to find and resolve mentions of persons, which can be subject to media bias. The chapter introduces and discusses two approaches for this task. First, the chapter introduces an approach for event extraction. The approach extracts answers to the journalistic 5W1H questions, i.e., who did what, when, where, why, and how. The in-text answers to these questions describe a news article’s main event. Afterward, the chapter introduces an approach that is the first to reso

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Busany, Nimrod, Rafi Shalom, Dan Klein, and Shahar Maoz. "Fast Attack Graph Defense Localization via Bisimulation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71162-6_13.

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AbstractSystem administrators, network engineers, and IT managers can learn much about the vulnerabilities of an organization’s cyber system by constructing and analyzing analytical attack graphs (AAGs). An AAG consists of logical rule nodes, fact nodes, and derived fact nodes. It provides a graph-based representation that describes ways by which an attacker can achieve progress towards a desired goal, a.k.a. a crown jewel. Given an AAG, different types of analyses can be performed to identify attacks on a target goal, measure the vulnerability of the network, and gain insights on how to make

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Liu, Ying, and Yuefeng Zheng. "A Network Attack Recognition Method Based on Probability Target Graph." In Emerging Trends in Intelligent and Interactive Systems and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63784-2_96.

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Conference papers on the topic "Target attack"

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Huang, Xichen, Zhengzhi Lu, and Bo Peng. "Frequency and Spatial Adversarial Attack to SAR Target Recognition." In 2024 7th International Conference on Electronics Technology (ICET). IEEE, 2024. http://dx.doi.org/10.1109/icet61945.2024.10672818.

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Li, Xuan, Longfei Wu, Zhitao Guan, Xiaojiang Du, Nadjib Aitsaadi, and Mohsen Guizani. "MulDoor: A Multi-target Backdoor Attack Against Federated Learning System." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901170.

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Shen, Guangyu, Siyuan Cheng, Zhuo Zhang, et al. "BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target." In 2025 IEEE Symposium on Security and Privacy (SP). IEEE, 2025. https://doi.org/10.1109/sp61157.2025.00103.

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Wang, Baobao, Bin Xin, Shuaishuai Wan, and Shoufeng Wang. "A Tracking and Forecasting Method of High-Angle Dive Attack Target." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662156.

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Zeng, Fei, Yuanjia Chen, Yulai Cong, and Sijia Li. "Physically Feasible Backdoor Attack in Deep Learning-Based SAR Target Recognition." In 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI). IEEE, 2025. https://doi.org/10.1109/iceaai64185.2025.10957366.

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Huang, Dong, Tianrun Jia, Pengyu Zhang, Ruihang Ji, and Shuzhi Sam Ge. "Selective Consistency Gradient Attack: Resolving Multi-Target Gradient Conflicts in Object Detection." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888709.

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Chen, Zengzhi, Xiaoyu Song, and Yanling Li. "Research on Multi-target Attack Scheme Based on K-means Clustering Algorithm." In 2024 14th International Conference on Information Science and Technology (ICIST). IEEE, 2024. https://doi.org/10.1109/icist63249.2024.10805452.

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Upeksha, R. G. C., M. W. P. Maduranga, N. W. Chanka Lasantha, and N. G. S. Aminda. "Hybrid Machine Learning and Moving Target Defense (MTD) for Comprehensive Switchport Attack Detection." In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, 2024. https://doi.org/10.1109/slaai-icai63667.2024.10844954.

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Zhang, Mingjiang, Chengyuan Wang, Tao Xie, and Shasha Xu. "A multiangle evaluation method for target detection models considering adversarial sample attack factors." In Third International Conference on Electrical, Electronics, and Information Engineering (EEIE 2024), edited by Hasmat Malik. SPIE, 2025. https://doi.org/10.1117/12.3057049.

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Liu, Fenghui. "Target Attack GAN: Black Box Target Attack in Specific Emitter Identification." In icWCSN 2024: 2024 11th International Conference on Wireless Communication and Sensor Networks. ACM, 2024. http://dx.doi.org/10.1145/3657529.3657542.

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Reports on the topic "Target attack"

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Flood, Robert, and Peter Garber. The Linkage Between Speculative Attack and Target Zone Models of Exchange Rates. National Bureau of Economic Research, 1989. http://dx.doi.org/10.3386/w2918.

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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo

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Raju, Nivedita. Parameters to Assess Escalation Risks in Space. Stockholm International Peace Research Institute, 2024. https://doi.org/10.55163/edtc6801.

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Space-enabled services are critical for various civilian and military purposes. Current military uses of space—for example, in the Russia-Ukraine War—indicate several avenues for unpredictability and ambiguity, which can increase potential for escalation, both in space and on earth. Yet, there is no common understanding of escalation risks in the international community. Four parameters to assess escalation risks in the space domain are identified: the target, the capability used, the effect and the consequences. These parameters can help establish a standardized approach to assess whether an

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Berman, Eli, and David Laitin. Hard Targets: Theory and Evidence on Suicide Attacks. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11740.

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Research Institute (IFPRI), International Food Policy. Meeting the need: Financing to attain targets. International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896295841_07.

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Friedrich-Karnik, Amy, Isabel DoCampo, and Candace Gibson. Medication Abortion Remains Critical to State Abortion Provision as Attacks on Access Persist. Guttmacher Institute, 2025. https://doi.org/10.1363/300639.

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New data from the Guttmacher Institute reaffirm that medication abortion is a fundamental component of abortion provision in states across the country, even as anti-abortion policymakers use all levers of government to target this safe and effective method of abortion care. For the first time, Guttmacher’s Monthly Abortion Provision Study includes state-level estimates of the proportion of abortions provided via medication in 2023 in states without total abortion bans. It also provides data on the proportion of abortions provided by online-only clinics in 2023 in states without total bans or b

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Minovi, Darya, Kristie Ellickson, Jules Barbati-Dajches, and Rachel Cleetus. Science and Democracy Under Siege Documenting Six Months of the Trump Administration’s Destructive Actions. Union of Concerned Scientists, 2025. https://doi.org/10.47923/2025.15927.

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Between January 20 and June 30 of this year, we documented 402 attacks on science. We define “attacks on science” as actions, statements, or decisions that originate from an elected official or political appointee in a federal agency that results in the censoring, manipulation, forging, or misinforming on scientific data, results, or conclusions conducted within the government or with federal funds. When science is sidelined, people are harmed. In this report, we document the ways this administration has targeted the public science that we all depend on, and offer recommendations and resources

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Asfaw, Etenesh. Cotton Industry Reform in Uzbekistan: Implications of Textile Clusters. TOSHKENT SHAHRIDAGI XALQARO VESTMINSTER UNIVERSITETI, 2019. https://doi.org/10.70735/vooq5325.

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• The current government of Uzbekistan is open to major reforms in the cotton sector. An important one is introduction of cotton-textile clusters. • Cotton clusters are expected to attract investments from private sectors and modernizations. This in return will increase productivity and resource use efficiency and speed-up value-addition. • Clusters are also expected to improve linkage with farmers, create decent working conditions for cotton pickers, phase-out subsidies and reduce the responsibility of the state. • An assessment of cotton-textile clusters points out that clusters improve prod

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Wark, Wesley. The Challenges of Attributing Information Operation Attacks: The RRM Experience. Balsillie School of International Affairs, 2024. https://doi.org/10.51644/bcs003.

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In October 2023, the Rapid Response Mechanism (RRM), a unit of Global Affairs Canada, issued a rare public announcement, stating that dozens of Canadian members of Parliament (MPs), from an array of political parties, were targets of a disinformation campaign known as “Spamouflage,” carried out by the People’s Republic of China (PRC) between August and September 2023. The RRM is a Canadian innovation, advanced initially at the G7 meeting in 2018. Disinformation was a focus of G7 leaders’ interest at the summit, especially after evidence had emerged of Russian efforts to interfere with US and E

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Cooke. L51783 100000 Hour Design Life of Turbo Compressor Packages. Pipeline Research Council International, Inc. (PRCI), 1998. http://dx.doi.org/10.55274/r0010340.

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The gas pipeline industry continues to respond to the challenges of competitive markets and the need to manage the cost of service effectively. A major cost element being reviewed by the industry is the operating and maintenance expense for its fleet of older turbo compressor units. Many turbo-machinery manufacturers and operators typically quote 100,000 hours as a design limit for service life of turbo compressor components. The Pipeline Research Committee initiated this study to review the life limiting criteria for certain critical components and determine if the design target of 100,000 ho

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