找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense; Control- and Game-Th Sushil Jajodia,George Cybenko,Michael Wellman Book 201

[復(fù)制鏈接]
樓主: antihistamine
31#
發(fā)表于 2025-3-26 23:02:07 | 只看該作者
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks,cks where the attacker chooses its actions by following a predetermined probability distribution; and attacks depicted by Bayesian attack graphs where the attacker exploits combinations of multiple known or zero-day vulnerabilities to compromise machines in a network.
32#
發(fā)表于 2025-3-27 01:35:37 | 只看該作者
33#
發(fā)表于 2025-3-27 06:54:50 | 只看該作者
Overview of Control and Game Theory in Adaptive Cyber Defenses,arget Defenses and Adaptive Cyber Defense. We begin by observing that there are fundamental differences between control models and game models that are important for security practitioners to understand. Those differences will be illustrated through simple but realistic cyber operations scenarios, e
34#
發(fā)表于 2025-3-27 12:00:35 | 只看該作者
35#
發(fā)表于 2025-3-27 15:56:46 | 只看該作者
36#
發(fā)表于 2025-3-27 20:55:36 | 只看該作者
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks,orcement learning is an integration of control theory and machine learning. A salient feature of reinforcement learning is that it does not require the defender to know critical information of zero-day attacks (e.g., their attack targets, and the locations of the vulnerabilities). This information i
37#
發(fā)表于 2025-3-28 00:49:12 | 只看該作者
Moving Target Defense Quantification,curity landscape. The tactical advantages that MTD can provide to the defender have led to the development of a vast array of diverse techniques, which are designed to operate under different constraints and against different classes of threats. Due to the diverse nature of these various techniques
38#
發(fā)表于 2025-3-28 04:54:10 | 只看該作者
Empirical Game-Theoretic Methods for Adaptive Cyber-Defense, empirical game-theoretic analysis approach, games are modeled by simulation, thus significantly increasing the level of complexity that can be addressed. We survey applications of this approach to scenarios of adaptive cyber-defense, illustrating how the method operates, and assessing its strengths
39#
發(fā)表于 2025-3-28 08:13:57 | 只看該作者
40#
發(fā)表于 2025-3-28 11:31:10 | 只看該作者
Adaptive Cyber Defenses for Botnet Detection and Mitigation,utions brings significant benefits to both commercial and government organizations, it also exposes them to an array of novel threats. Specifically, malicious actors can use networks of compromised and remotely controlled hosts, known as botnets, to execute a number of different cyber-attacks and en
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 16:22
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
龙泉市| 上饶县| 沙河市| 浠水县| 吉木萨尔县| 石门县| 申扎县| 广平县| 寿阳县| 吉水县| 泰安市| 封丘县| 绥化市| 阿拉善盟| 磴口县| 东光县| 若羌县| 石阡县| 巨野县| 东港市| 宾川县| 庐江县| 精河县| 衢州市| 桑日县| 江阴市| 万州区| 土默特左旗| 佛坪县| 大城县| 齐齐哈尔市| 巧家县| 东乡族自治县| 贡山| 南昌市| 东平县| 吉木萨尔县| 格尔木市| 南平市| 定南县| 台山市|