Advanced Persistent Threat (APT) is one of the most menacing and stealthy multiple-steps attacks in the context of information systems and IoT-related applications. Recently, with increasing losses to organizations caused by APT, its detection has attracted more attention in both academia and ...
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning Advanced persistent threats (APT) have increased in recent times as a result of the rise in interest by nation-states and sophisticated corporations to obt... KA Akbar,Y Wang,G Ayoade,... - 《IEEE Transactions on Dep...
How to find and remove advanced persistent adware in your network In late 2017, we discovered a new type of advanced persistent threat: sophisticated adware that utilizes advanced techniques for persistence and antivirus evasion. Here’s how to fight advanced persistent adware (APA) in your ...
Next Generation Convergence Security Framework for Advanced Persistent Threat An overall responding security-centered framework is necessary required for infringement accidents, failures, and cyber threats. On the other hand, the cor... M Lee,C Bae - 《Ieie Transactions on Smart Processing & Computing...
Critical Infrastructures in public administration would be compromised by Advanced Persistent Threats (APT) which today constitute one of the most sophisticated ways of stealing information. This paper presents an effective, learning based tool that uses
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning In this paper, we introduce MAGIC, a novel and flexible self-supervised approach for multi-granularity APT detection. MAGIC leverages masked graph representation learning to model benign system entities and behaviors, perf...
一旦系统被利用,这些特性可以用于一类称为高级持续威胁(Advanced Persistent Threats, APTs)的目标是对政府机构、金融部门和个人进行[6]间谍活动的有针对性的攻击。它们也可能用于非目标攻击,如蠕虫和僵尸网络。攻击者利用PDF文件中的漏洞,在PDF文档中注入其他恶意代码,如JavaScript、可移植可执行程序(PEs)、HTML、图像...
United States Patent US9378361 Note: If you have problems viewing the PDF, please make sure you have the latest version ofAdobe Acrobat. Back to full text
By augmenting expert human analysis, machine learning has driven anantimalware evolution within Windows Defender Antivirus, providing close to real-time detection of unknown, highly polymorphic malware. At the same time, machine learning has also enhanced how Windows Defender ...
Targeted cyber attacks, which today are known as Advanced Persistent Threats (APTs), use low and slow patterns to bypass intrusion detection and alert correlation systems. Since most of the attack detection approaches use a short time-window, the slow AP