標(biāo)題: Titlebook: Cyber Deception; Techniques, Strategi Tiffany Bao,Milind Tambe,Cliff Wang Book 2023 This is a U.S. government work and not under copyright [打印本頁] 作者: DEIGN 時間: 2025-3-21 18:39
書目名稱Cyber Deception影響因子(影響力)
書目名稱Cyber Deception影響因子(影響力)學(xué)科排名
書目名稱Cyber Deception網(wǎng)絡(luò)公開度
書目名稱Cyber Deception網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cyber Deception被引頻次
書目名稱Cyber Deception被引頻次學(xué)科排名
書目名稱Cyber Deception年度引用
書目名稱Cyber Deception年度引用學(xué)科排名
書目名稱Cyber Deception讀者反饋
書目名稱Cyber Deception讀者反饋學(xué)科排名
作者: 坦白 時間: 2025-3-21 20:14
Suparna Kailash,Manju Mehta,Rajesh Sagar optimize a deceptive defense based on camouflaging network and system attributes have shown effective numerical results on simulated data. However, these models possess a fundamental drawback due to the assumption that an attempted attack is always successful—as a direct consequence of the deceptiv作者: 揉雜 時間: 2025-3-22 01:09 作者: 子女 時間: 2025-3-22 06:10
Michelle Sunico-Segarra,Armin Segarrauction to cognitive modeling techniques and concepts, including general goals, capabilities and limitations, cognitive architectures, and instance-based learning. It establishes that cognitive models’ reliance on generative mechanisms has predictive capabilities beyond those of purely data-driven te作者: 逗留 時間: 2025-3-22 09:49
Michelle Sunico-Segarra,Armin Segarrase resources in security situations is modeled through Stackelberg Security Games, where defenders allocate the security resources using the schedule from a Strong Stackelberg Equilibrium (SSE) before attackers exploit the network. To further strengthen the security allocation and reduce the costs o作者: 吸氣 時間: 2025-3-22 15:38
Colin J. Theaker,Graham R. Brookes step in this kill chain is network reconnaissance, which has historically been active (e.g., network scans) and therefore detectable. However, new networking technology increases the possibility of . network reconnaissance, which is largely undetectable by defenders. In this chapter, we begin by in作者: 吸氣 時間: 2025-3-22 17:32 作者: 懶鬼才會衰弱 時間: 2025-3-22 22:01 作者: hegemony 時間: 2025-3-23 05:22 作者: 致命 時間: 2025-3-23 07:13
https://doi.org/10.1007/978-3-030-43473-1ch that it deceives the attacker while still permitting the system to perform its intended function. We develop techniques to achieve such deception by studying a proxy problem: malware detection..Researchers and anti-virus vendors have proposed DNNs for malware detection from raw bytes that do not 作者: 周年紀(jì)念日 時間: 2025-3-23 13:09 作者: 苦惱 時間: 2025-3-23 16:08
978-3-031-16615-0This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright pro作者: fiction 時間: 2025-3-23 20:12
Cyber Deception978-3-031-16613-6Series ISSN 1568-2633 Series E-ISSN 2512-2193 作者: Adenoma 時間: 2025-3-24 00:23 作者: 調(diào)整 時間: 2025-3-24 04:27 作者: ornithology 時間: 2025-3-24 08:34 作者: LASH 時間: 2025-3-24 12:22
Human-Subject Experiments on Risk-Based Cyber Camouflage Games, optimize a deceptive defense based on camouflaging network and system attributes have shown effective numerical results on simulated data. However, these models possess a fundamental drawback due to the assumption that an attempted attack is always successful—as a direct consequence of the deceptiv作者: 傲慢物 時間: 2025-3-24 17:09
,Adaptive Cyberdefense with Deception: A Human–AI Cognitive Approach,vel of effectiveness. In such a futuristic cyber defense framework, human defenders, autonomy (Artificial Intelligence, AI), and cognitive models collaborate in a team to deploy the most effective defense strategies utilizing cyber deception. AI defenders have significantly larger capabilities than 作者: Bureaucracy 時間: 2025-3-24 20:21
Cognitive Modeling for Personalized, Adaptive Signaling for Cyber Deception,uction to cognitive modeling techniques and concepts, including general goals, capabilities and limitations, cognitive architectures, and instance-based learning. It establishes that cognitive models’ reliance on generative mechanisms has predictive capabilities beyond those of purely data-driven te作者: 多余 時間: 2025-3-24 23:49 作者: 嫌惡 時間: 2025-3-25 07:04 作者: daredevil 時間: 2025-3-25 09:30
Mee: Adaptive Honeyfile System for Insider Attacker Detection,s (APTs), an adversary becomes an insider attacker by masquerading as a legitimate user and carries out malicious actions, such as stealthy exploration or data exfiltration. Traditional cybersecurity techniques, such as firewalls, cryptography, and intrusion detection systems, are inadequate against作者: 緩解 時間: 2025-3-25 11:57
HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems,ansportation grids. Within ICS, Programmable Logic Controllers (PLCs) play a key role as they serve as a convenient bridge between the cyber and the physical worlds, e.g., controlling centrifuge machines in nuclear power plants. Recently, ICS and PLCs have been the target of sophisticated cyberattac作者: cataract 時間: 2025-3-25 19:44 作者: Fillet,Filet 時間: 2025-3-25 20:17 作者: 妨礙議事 時間: 2025-3-26 02:23 作者: 忘恩負義的人 時間: 2025-3-26 05:11 作者: Pastry 時間: 2025-3-26 09:15 作者: POWER 時間: 2025-3-26 13:02
Using Amnesia to Detect Credential Database Breaches,rds and additionally allows a site to monitor for the entry of its decoy passwords elsewhere. We quantify the benefits of Amnesia using probabilistic model checking and the practicality of this framework through measurements of a working implementation.作者: 的’ 時間: 2025-3-26 18:48 作者: Neutropenia 時間: 2025-3-26 21:45 作者: 哀求 時間: 2025-3-27 03:06 作者: reject 時間: 2025-3-27 07:14
Cognitive Modeling for Personalized, Adaptive Signaling for Cyber Deception,ns. Because cognitive models are analytically tractable, they can guide, inform, and optimize the design of cyber deception techniques. We illustrate these concepts using an insider attacking game meant to abstract the dynamics and decision-making characteristics of real-world cyber defense. Finally作者: TOXIN 時間: 2025-3-27 12:53 作者: myalgia 時間: 2025-3-27 15:24 作者: concert 時間: 2025-3-27 18:03 作者: 吹牛需要藝術(shù) 時間: 2025-3-27 23:23
HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems,ible, and malware-collecting honeypot supporting a broad spectrum of PLC models and vendors. Experimental results show that HoneyPLC exhibits a high level of camouflaging: it is identified as real devices by multiple widely used reconnaissance tools, and it is also able to record a large amount of i作者: REIGN 時間: 2025-3-28 04:15
Deceiving ML-Based Friend-or-Foe Identification for Executables,d found that it often achieved success rates near 100%. Moreover, we found that our attack can fool some commercial anti-viruses, in certain cases with a success rate of 85%. We explored several defenses, both new and old, and identified some that can foil over 80% of our evasion attempts. However, 作者: 踉蹌 時間: 2025-3-28 07:15
Angela Ann Joseph,Manju Mehta,Garima Shuklathe model behaviors with different types of attackers. Finally, we look into a human experiment conducted with the HackIT experimental testbed to see how effective the two-sided deception method is. We also discuss several real-world scenarios in which two-sided deception can be more advantageous th作者: HEW 時間: 2025-3-28 10:51
Suparna Kailash,Manju Mehta,Rajesh Sagartion is NP-hard even in the zero-sum. We provide a mixed-integer linear program formulation for the general problem with constraints on cost and feasibility, along with a pseudo-polynomial time algorithm for the special . setting. However, it is known that humans are limited cognitively in various w作者: Deference 時間: 2025-3-28 16:38 作者: SEEK 時間: 2025-3-28 21:58
Michelle Sunico-Segarra,Armin Segarrans. Because cognitive models are analytically tractable, they can guide, inform, and optimize the design of cyber deception techniques. We illustrate these concepts using an insider attacking game meant to abstract the dynamics and decision-making characteristics of real-world cyber defense. Finally作者: 令人作嘔 時間: 2025-3-29 01:16 作者: hemoglobin 時間: 2025-3-29 06:58
Colin J. Theaker,Graham R. Brookesrved within network traffic or reveal the adversary’s presence when it attempts to unknowingly attack an intrusion detection node. In addition, we introduce an adversarial learning algorithm to obfuscate network traffic that can limit passive reconnaissance techniques such as packet sniffing and sta作者: crucial 時間: 2025-3-29 07:43 作者: 激怒 時間: 2025-3-29 12:03
