標(biāo)題: Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 15th International C Cristiano Giuffrida,Sébastien Bardin,Gregory Blanc [打印本頁] 作者: 熱愛 時(shí)間: 2025-3-21 17:19
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment影響因子(影響力)
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment影響因子(影響力)學(xué)科排名
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment網(wǎng)絡(luò)公開度
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment被引頻次
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment被引頻次學(xué)科排名
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment年度引用
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment年度引用學(xué)科排名
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment讀者反饋
書目名稱Detection of Intrusions and Malware, and Vulnerability Assessment讀者反饋學(xué)科排名
作者: 憤憤不平 時(shí)間: 2025-3-21 23:48 作者: 飛鏢 時(shí)間: 2025-3-22 02:46 作者: Firefly 時(shí)間: 2025-3-22 05:39
Detection of Intrusions and Malware, and Vulnerability Assessment978-3-319-93411-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 沒花的是打擾 時(shí)間: 2025-3-22 09:18
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/269224.jpg作者: badinage 時(shí)間: 2025-3-22 13:34 作者: badinage 時(shí)間: 2025-3-22 17:03 作者: Analogy 時(shí)間: 2025-3-23 00:16
https://doi.org/10.1007/978-3-662-48780-8 and exposed by various cyber security organizations. The key characteristics of these attacks are that they are conducted by well-funded and skilled actors who persistently target specific entities employing sophisticated tools and tactics to obtain a long-time presence in the breached environments作者: encyclopedia 時(shí)間: 2025-3-23 03:00 作者: GUILT 時(shí)間: 2025-3-23 07:14 作者: 提名 時(shí)間: 2025-3-23 11:18 作者: 細(xì)菌等 時(shí)間: 2025-3-23 15:44
https://doi.org/10.1007/978-3-319-96379-2es on target systems are patched, the attacker may lose control over the system. However, systems remain vulnerable when an attacker manipulates the component resources on a Windows system. We found methods to generate invisible vulnerabilities on a victim’s system. Our findings are as follows: firs作者: 躺下殘殺 時(shí)間: 2025-3-23 21:29
https://doi.org/10.1007/978-3-319-96379-2defense. In particular, appliances have become the . standard in the fight against targeted attacks. Yet recent incidents have demonstrated that malware can effectively detect and thus evade sandboxes, resulting in an ongoing arms race between sandbox developers and malware authors..We show how atta作者: prodrome 時(shí)間: 2025-3-24 01:40
https://doi.org/10.1007/978-3-642-30964-9er is not able to find the position of the code she wants to reuse, hence thwarting successful attacks. Current state-of-the-art defenses achieve this by employing concepts such as execute-only memory combined with booby traps..In this paper, we show that an attacker is able to abuse symbol metadata作者: ACME 時(shí)間: 2025-3-24 04:35
https://doi.org/10.1007/978-3-642-30964-9e of fraud consists in repeatedly stealing small amounts of funds over time. A reliable detection of these fraud schemes requires an accurate modeling of the user’s spending pattern over time. In this paper, we propose ., a framework that exploits the end user’s recurrent vs. non-recurrent spending 作者: archenemy 時(shí)間: 2025-3-24 07:10 作者: 恃強(qiáng)凌弱 時(shí)間: 2025-3-24 12:49
https://doi.org/10.1007/978-3-642-05092-3ystem (.) capable of curtailing data theft and ensuring file integrity protection by providing subject-specific views of the filesystem. The deceptive filesystem transparently creates multiple levels of stacking to protect the base filesystem and monitor file accesses, hide and redact sensitive file作者: 敲詐 時(shí)間: 2025-3-24 18:49 作者: 精確 時(shí)間: 2025-3-24 22:20 作者: 鐵砧 時(shí)間: 2025-3-25 00:00
0302-9743 y?Assessment, DIMVA 2018, held in Saclay, France, in June 2018.?The 17 revised full papers and 1 short paper included in this book were carefully reviewed and selected from 59 submissions. They present?topics such as malware analysis; mobile and embedded security; attacks; detection and containment;作者: accomplishment 時(shí)間: 2025-3-25 04:15 作者: 止痛藥 時(shí)間: 2025-3-25 09:00 作者: finite 時(shí)間: 2025-3-25 12:38
Conference proceedings 2018nt, DIMVA 2018, held in Saclay, France, in June 2018.?The 17 revised full papers and 1 short paper included in this book were carefully reviewed and selected from 59 submissions. They present?topics such as malware analysis; mobile and embedded security; attacks; detection and containment; web and b作者: 自戀 時(shí)間: 2025-3-25 18:55 作者: Visual-Field 時(shí)間: 2025-3-25 21:19
https://doi.org/10.1007/978-3-642-30964-9 In this setting, . detects frauds as transactions that are not simply “anomalous”, but that would change the user’s spending profile..We deployed . in the real-world setting of a national banking group and measured the detection performance, showing that it can outperform existing solutions.作者: Cumulus 時(shí)間: 2025-3-26 03:12 作者: ARENA 時(shí)間: 2025-3-26 04:23
FraudBuster: Temporal Analysis and Detection of Advanced Financial Frauds In this setting, . detects frauds as transactions that are not simply “anomalous”, but that would change the user’s spending profile..We deployed . in the real-world setting of a national banking group and measured the detection performance, showing that it can outperform existing solutions.作者: placebo-effect 時(shí)間: 2025-3-26 11:24
No Random, No Ransom: A Key to Stop Cryptographic Ransomwareaccesses on their APIs and stops unauthorized applications that call them. Our strategy, tested against 524 active real-world ransomware samples, stops 94% of them, including WannaCry, Locky, CryptoLocker and CryptoWall. Remarkably, it also nullifies NotPetya, the latest offspring of the family which so far has eluded all defenses.作者: Rustproof 時(shí)間: 2025-3-26 16:27
Gemeinwohlorientiert, ?kologisch, sozial in-depth case study for a leading RASP product—namely .—which is being used by approximately 100 companies to protect over 100 million end users worldwide. We demonstrate two attacks against Promon Shield: The first removes the entire protection scheme statically from an app, while the second disables all security measures dynamically at runtime.作者: 佛刊 時(shí)間: 2025-3-26 17:23 作者: 反對 時(shí)間: 2025-3-26 21:14
M,: Compact Full-Trace Malware Recording for Retrospective Deep Analysiserstand a sample’s behavior and effect on a system. However, current systems face two limitations: first, for performance reasons, the amount of data they can collect is limited (typically to system call traces and memory snapshots). Second, they lack the ability to perform .—that is, to later extra作者: happiness 時(shí)間: 2025-3-27 03:22
M,S,: Time- and Space-Efficient Storage of Malware Sandbox Memory Dumps system state (i.e., a sandbox snapshot) to analyze malware. Therefore, memory dumps taken after malware execution inside the same sandbox are substantially similar to each other, which we can use to only store the differences introduced by the malware itself. Technically, we compare the pages of th作者: AGGER 時(shí)間: 2025-3-27 05:36 作者: LVAD360 時(shí)間: 2025-3-27 10:48
Honey, I Shrunk Your App Security: The State of Android App Hardeningation. Android, however, suffers from a fragmented landscape of devices and versions, which leaves many devices unpatched by their manufacturers. This security gap has created a vital market of commercial solutions for . (RASP) to harden apps and ensure their integrity even on compromised devices. I作者: surmount 時(shí)間: 2025-3-27 14:01 作者: 漂浮 時(shí)間: 2025-3-27 20:47
B,A,: Scalable and Efficient Detection of Vulnerabilities in Firmware Images of Intelligent Electron firmware might greatly affect the security and functionality of the smart grid. Although general-purpose techniques exist for vulnerability detection in firmware, they usually cannot meet the specific needs, e.g., they lack the domain knowledge specific to IED vulnerabilities, and they are often no作者: Calibrate 時(shí)間: 2025-3-27 23:52 作者: 卜聞 時(shí)間: 2025-3-28 05:41 作者: glamor 時(shí)間: 2025-3-28 10:04
On the Weaknesses of Function Table Randomizationer is not able to find the position of the code she wants to reuse, hence thwarting successful attacks. Current state-of-the-art defenses achieve this by employing concepts such as execute-only memory combined with booby traps..In this paper, we show that an attacker is able to abuse symbol metadata作者: coagulate 時(shí)間: 2025-3-28 11:51
FraudBuster: Temporal Analysis and Detection of Advanced Financial Fraudse of fraud consists in repeatedly stealing small amounts of funds over time. A reliable detection of these fraud schemes requires an accurate modeling of the user’s spending pattern over time. In this paper, we propose ., a framework that exploits the end user’s recurrent vs. non-recurrent spending 作者: insipid 時(shí)間: 2025-3-28 15:27 作者: Mindfulness 時(shí)間: 2025-3-28 20:45
Hidden in Plain Sight: Filesystem View Separation for Data Integrity and Deceptionystem (.) capable of curtailing data theft and ensuring file integrity protection by providing subject-specific views of the filesystem. The deceptive filesystem transparently creates multiple levels of stacking to protect the base filesystem and monitor file accesses, hide and redact sensitive file作者: MAUVE 時(shí)間: 2025-3-29 01:36 作者: 他去就結(jié)束 時(shí)間: 2025-3-29 06:54 作者: 幼兒 時(shí)間: 2025-3-29 10:33 作者: 合并 時(shí)間: 2025-3-29 13:19
Cristiano Giuffrida,Sébastien Bardin,Gregory Blanc作者: 一大群 時(shí)間: 2025-3-29 15:48
Johannes Kopp,Rüdiger Jacob,Robert Thum a two-year period, along with two preliminary analyses that would not be possible without full traces: an analysis of kernel mode malware and exploits, and a fine-grained malware family classification based on textual memory access contents. The . system and dataset can help provide a standardized 作者: WITH 時(shí)間: 2025-3-29 20:14 作者: BOLT 時(shí)間: 2025-3-30 03:09 作者: 招待 時(shí)間: 2025-3-30 06:52
Globale Optimierung in der Praxis,calability issue in handling large IED firmware. Specifically, the proposed engine takes a coarse-to-fine grained multi-stage function matching approach by (i) first filtering out dissimilar functions based on a group of heterogeneous features; (ii) further filtering out dissimilar functions based o作者: 認(rèn)識(shí) 時(shí)間: 2025-3-30 10:24
https://doi.org/10.1007/978-3-319-96379-2d on our findings, we reveal an Update State Tampering technique that can generate invisible security holes on target systems. We also offer corresponding countermeasures to detect and correct package-component mismatches. In this paper, we introduce the problems with the current Windows update mana作者: Malaise 時(shí)間: 2025-3-30 13:02
https://doi.org/10.1007/978-3-319-96379-2 history, cache, cookies, or the DNS stub resolver cache. We then prototype a customized malware that searches for these implants on the executing environment and denies execution if implants do not exist as expected. This way, sandboxes can be evaded without the need to detect artifacts that witnes作者: 愉快嗎 時(shí)間: 2025-3-30 19:00
https://doi.org/10.1007/978-3-642-30964-9ct of this attack vector, we demonstrate how dynamic loading can be exploited to bypass Readactor++, the state-of-the-art defense against code-reuse attacks, despite its use of booby traps and virtual function table (.) randomization. Furthermore, we present a novel approach to protect symbol metada作者: Basilar-Artery 時(shí)間: 2025-3-30 21:20
https://doi.org/10.1007/978-3-642-05092-3approach through extensive performance benchmarks and use cases on real malware samples, including ransomware, rootkits, binary modifiers, backdoors, and library injectors. Our results show that . adds no significant performance overhead to the filesystem, preserves the filesystem data, and offers a作者: Constant 時(shí)間: 2025-3-31 01:28 作者: 憎惡 時(shí)間: 2025-3-31 08:07
https://doi.org/10.1007/978-1-4684-6674-4 random forest classifier to detect malicious JavaScript instances. It is based on a frequency analysis of specific patterns, which are either predictive of benign or of malicious samples. Even though the analysis is entirely static, it yields a high detection accuracy of almost 99.5% and has a low 作者: 冒號(hào) 時(shí)間: 2025-3-31 10:26 作者: Distribution 時(shí)間: 2025-3-31 16:57
