A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...

Feedback Lunch: Deep Feedback Codes for Wiretap Channels

We consider reversely-degraded wiretap channels, for which the secrecy capacity is zero if there is no channel feedback. This work focuses on a seeded modular code design for the Gaussian wiretap channel with channel output feedback, combining universal hash functions for security and learned...

A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective

The escalating frequency and sophistication of cyber threats increased the need for their comprehensive understanding. This paper explores the intersection of geopolitical dynamics, cyber threat intelligence analysis, and advanced detection technologies, with a focus on the energy domain. We...

Learning-Based Privacy-Preserving Graph Publishing against Sensitive Link Inference Attacks

Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may leverage the released graph data to launch attacks and precisely infer private information such as the existence of...

Disa: Accurate Learning-Based Static Disassembly with Attentions

For reverse engineering related security domains, such as vulnerability detection, malware analysis, and binary hardening, disassembly is crucial yet challenging. The fundamental challenge of disassembly is to identify instruction and function boundaries. Classic approaches rely on file-format...

GPS Spoofing Attacks on AI-Based Navigation Systems with Obstacle Avoidance in UAV

Recently, approaches using Deep Reinforcement Learning DRL have been proposed to solve UAV navigation systems in complex and unknown environments. However, despite extensive research and attention, systematic studies on various security aspects have not yet been conducted. Therefore, in this pape...

Email Campaign Spreads StrRAT Fake-Ransomware RAT

An email campaign is delivering a Java-based remote access trojan RAT that can not only steal credentials and take control of systems, but also presents as fake ransomware, Microsoft researchers have discovered. The Microsoft Security Intelligence MSI team has outlined details of a “massive email...

Long Tail Analysis: A New Hope in the Cybercrime Battle

Our hyper-connected world and its ever-faster network speeds have resulted in mountains of diverse data that needs to be processed. It has also resulted in an ever-expanding attack surface, requiring cybersecurity solutions to scale like never before. These days, scale is about more than traffic...

Crooks are selling “Digital Doppelgangers” to bypass anti-fraud protection

By Waqas Financial Crimes to Reach an Unprecedented High by 2023 if Dark Web marketplaces like Genesis are allowed to Operate- Researchers Claim. According to the latest research from Juniper Research, cybercriminals have developed a wide range of advanced tools to help users evade machine...