Worklenz SQL注入漏洞

Worklenz is a project management tool developed under open source in Worklenz. Versions of Worklenz prior to 2.1.7 contained a SQL injection vulnerability. This vulnerability stemmed from multiple SQL injection points in the backend SQL queries, affecting functions such as project task management...

Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection

The Control Area Network CAN protocol is essential for in-vehicle communication, facilitating high-speed data exchange among Electronic Control Units ECUs. However, its inherent design lacks robust security features, rendering vehicles susceptible to cyberattacks. While recent research has...

Fraud Detection and Risk Assessment of Online Payment Transactions on E-Commerce Platforms Based on LLM and GCN Frameworks

With the rapid growth of e-commerce, online payment fraud has become increasingly complex, posing serious threats to financial security and consumer trust. Traditional detection methods often struggle to capture the intricate relational structures inherent in transactional data. This study presen...

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers

Deep Neural Networks DNNs are notoriously vulnerable to adversarial input designs with limited noise budgets. While numerous successful attacks with subtle modifications to original input have been proposed, defense techniques against these attacks are relatively understudied. Existing defense...

AES-RV: Hardware-Efficient RISC-V Accelerator with Low-Latency AES Instruction Extension for IoT Security

The Advanced Encryption Standard AES is a widely adopted cryptographic algorithm essential for securing embedded systems and IoT platforms. However, existing AES hardware accelerators often face limitations in performance, energy efficiency, and flexibility. This paper presents AES-RV, a...

The vulnerability of AVEVA PI Server’s data storage, normalization, analysis, and notification functions in real-time mode, due to incorrect handling of exceptional states, allows a perpetrator to trigger a service failure.

The vulnerability of the AVEVA PI Server’s data storage, normalization, analysis, and notification functions in real-time is related to improper handling of exceptional states. Exploiting this vulnerability could allow an attacker to cause service failures...

What is Kafka?

Introduction to the Universe of Kafka: A Detailed Synopsis Apache Kafka, frequently just labeled as Kafka, is a universally contributed event broadcasting framework, intended to manage live streaming of data. It is engineered to be a bridge for significant volumes of data, offering a mechanism fo...

Faust 缓冲区错误漏洞

Faust is a functional programming language designed for real-time signal processing and synthesis. A security vulnerability exists in Faust that stems from the presence of a stack overflow issue...

[SECURITY] Fedora 35 Update: mingw-gstreamer1-1.19.3-1.fc35

GStreamer is a streaming-media framework, based on graphs of filters which operate on media data. Applications using this library can do anything from real-time sound processing to playing videos, and just about anything else media-related. Its plug-in-based architecture means that new data types...

Paragon - Red Team Engagement Platform With The Goal Of Unifying Offensive Tools Behind A Simple UI

Paragon is a Red Team engagement platform. It aims to unify offensive tools behind a simple UI, abstracting much of the backend work to enable operators to focus on writing implants and spend less time worrying about databases and css. The repository also provides some offensive tools already...

Can Edge Computing Exist Without the Edge? Part 2: Edge Computing

In part 1 of this series, I drew the architectural distinction between a centralized cloud platform and a distributed edge network. This is an important foundation upon which to explain the difference between cloud computing and edge computing. The two serve very different and complementary...

20 Years of Edge Computing

How long will you wait for something? That depends on what you're waiting for, of course. But in your daily interactions, think about how many "things" you interact with where you expect the response to be instantaneous - tapping on mobile apps, logging in and transacting with a retailer or a ban...

Building a New Language for Data Processing

Building a New Language for Data Translation In previous posts, we’ve talked about the plan for and implementation of EQR Event Query Router—a system we created to solve the problem of querying large quantities of disparate data by end-user analysts in real-time. As with any major project, we fac...

Implementing EQR — Creating a Solution for Real-Time Processing of Disparate Big Data Sources

Building an Event Query Router for Big Data Translation and Processing In a previous post, we discussed the data engineering challenge of scaling security. Analyzing the volume and variety of data required by a cybersecurity application isn’t an easy process, so we are always looking for innovati...

Clustering App Attacks with Machine Learning Part 3: Algorithm Results

In the previous blog posts in this series, we discussed the motivation for clustering attacks and the data used and how to calculate the distance between two attacks using different methods on each feature we extracted. In this final blog post, we’ll discuss the clustering algorithm itself – how ...

Applying Lean to Information Risk Management

Lean Manufacturing brings significant benefits to industry, including cost reduction, quality improvement, reduced cycle time, and greater customer satisfaction See “The Machine that Changed the World”, Womak, J., Jones, D., and Roos, D., Free, Press, 1990 for the groundbreaking analysis of...

Microsoft StreamInsight V1.0

Microsoft StreamInsight V1.0...