Efficient and Quantum-Safe Internet Key Exchange Protocols for Satellite Communications

This paper studies cryptographic key exchange in satellite communications, which requires specific solutions because the satellite context presents unique challenges, particularly concerning onboard resource constraints and long transmission latency. We address these challenges by considering the...

Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices

IoT devices particularly microcontrollers are challenged by their inherent limitations in processing capabilities, memory capacity, and energy conservation. Securing communication within IoT networks is further complicated by the heterogeneity of devices and the myriad of potential security...

Agentic Artificial Intelligence for Ethical Cybersecurity in Uganda: A Reinforcement Learning Framework for Threat Detection in Resource-Constrained Environments

Uganda's rapid digital transformation, supported by national strategies such as Vision 2040 and the Digital Transformation Roadmap, has expanded reliance on networked services while simultaneously increasing exposure to sophisticated cyber threats. In resource-constrained settings, commonly...

Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-Based Intrusion Detection System

With increasingly sophisticated cybersecurity threats and rising demand for network automation, autonomous cybersecurity mechanisms are becoming critical for securing modern networks. The rapid expansion of Internet of Things IoT systems amplifies these challenges, as resource-constrained IoT...

RAG-Targeted Adversarial Attack on LLM-Based Threat Detection and Mitigation Framework

The rapid expansion of the Internet of Things IoT is reshaping communication and operational practices across industries, but it also broadens the attack surface and increases susceptibility to security breaches. Artificial Intelligence has become a valuable solution in securing IoT networks, wit...

Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices

Whitepaper called Evaluating Post-Quantum Cryptographic Algorithms On Resource-Constrained Devices...

Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-To-Peer Learning

The growing adoption of Artificial Intelligence AI in Internet of Things IoT ecosystems has intensified the need for personalized learning methods that can operate efficiently and privately across heterogeneous, resource-constrained devices. However, enabling effective personalized learning in...

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT

The rapid expansion of the Internet of Things IoT has introduced significant security challenges, necessitating efficient and adaptive Intrusion Detection Systems IDS. Traditional IDS models often overlook the temporal characteristics of network traffic, limiting their effectiveness in early thre...

Secure Distributed Learning for CAVs: Defending against Gradient Leakage with Leveled Homomorphic Encryption

Federated Learning FL enables collaborative model training across distributed clients without sharing raw data, making it a promising approach for privacy-preserving machine learning in domains like Connected and Autonomous Vehicles CAVs. However, recent studies have shown that exchanged model...

[SECURITY] Fedora 42 Update: libell-0.74-1.fc42

The Embedded Linux Library ELL provides core, low-level functionality for system daemons. It typically has no dependencies other than the Linux kernel, C standard library, and libdl for dynamic linking. While ELL is designed to be efficient and compact enough for use on embedded Linux platforms, ...

[SECURITY] Fedora 40 Update: libell-0.63-1.fc40

The Embedded Linux Library ELL provides core, low-level functionality for system daemons. It typically has no dependencies other than the Linux kernel, C standard library, and libdl for dynamic linking. While ELL is designed to be efficient and compact enough for use on embedded Linux platforms, ...

[SECURITY] Fedora 38 Update: libell-0.63-1.fc38

The Embedded Linux Library ELL provides core, low-level functionality for system daemons. It typically has no dependencies other than the Linux kernel, C standard library, and libdl for dynamic linking. While ELL is designed to be efficient and compact enough for use on embedded Linux platforms, ...

[SECURITY] Fedora 39 Update: libell-0.63-1.fc39

The Embedded Linux Library ELL provides core, low-level functionality for system daemons. It typically has no dependencies other than the Linux kernel, C standard library, and libdl for dynamic linking. While ELL is designed to be efficient and compact enough for use on embedded Linux platforms, ...

Microsoft Azure Real Time Operating System 安全漏洞

Microsoft Azure Real Time Operating System Azure RTOS is an embedded development kit from Microsoft Corporation USA that includes a small but powerful operating system that delivers reliable, ultra-fast performance for resource-constrained devices. A security vulnerability exists in the Microsoft...

Decided to move on from your NGAV/EDR? A Guide for Small Security Teams to What's Next

You're fully aware of the need to stop threats at the front door and then hunt any that got through that first gate, so your company installed an EPP/ EDR solution. But like most companies, you've already come across its shortcoming – and these are amplified since you have a small security team...

Rapid7 Recognized as a Strong Performer Among Security Analytics Providers by Leading Industry Report

At Rapid7, we recognize that security professionals are facing a more challenging landscape than ever before. The mission of InsightIDR—our natively cloud SIEM—is to remove the drudgery and operational burdens associated with traditional approaches, and drive efficient, effective detection and...

RSAC 2020: Ransomware a 'National Crisis,' CISA Says, Ramps ICS Focus

Industrial control systems ICS and critical infrastructure will be a main focus for the Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency CISA this year – especially as ransomware looms as a main threat to the sector going forward. That’s according to Christopher...

F5 Networks BIG-IP : BIG-IP ASM memory exhaustion vulnerability (K40452417)

The BIG-IP ASM system may consume excessive resources when processing certain types of HTTP responses from the origin web server. This vulnerability is only known to affect resource-constrained systems in which the security policy is configured with response-side features, such as Data Guard or...

CVE-2019-6682

On versions 15.0.0-15.0.1.1, 14.0.0-14.1.2.2, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP ASM system may consume excessive resources when processing certain types of HTTP responses from the origin web server. This vulnerability is only known to affect resource-constrained...

Code injection

On versions 15.0.0-15.0.1.1, 14.0.0-14.1.2.2, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP ASM system may consume excessive resources when processing certain types of HTTP responses from the origin web server. This vulnerability is only known to affect resource-constrained...