Security Challenges of Intent-Based Networking
Intent-based networking allows operators to describe the high-level intent of what they want a network to do.
Security Challenges of Intent-Based Networking
Intent-based networking allows operators to describe the high-level intent of what they want a network to do.
Technical Perspective: Tracing the Network Traffic Fingerprinting Techniques of OpenVPN
"OpenVPN is Open to VPN Fingerprinting," by Diwen Xue et al., investigates network traffic fingerprinting of a very popular privacy technique—OpenVPN.
OpenVPN Is Open to VPN Fingerprinting
In this paper, we explore the implications of deep packet inspection for VPN detection and blocking.
Technical Perspective: Creating the Internet of Biological and Bio-Inspired Things
"mSAIL: Milligram-Scale Multi-modal Sensor Platform for Monarch Butterfly Migration Tracking," by Inhee Lee et al., describes a critical milestone in the mobile system community’s efforts toward creating the Internet of biological things.
mSAIL: Milligram-Scale Multi-Modal Sensor Platform for Monarch Butterfly Migration Tracking
We propose a wireless sensing platform, mSAIL, specifically designed for a monarch butterfly migration study based on previously developed custom-designed ICs.
Human Intuition and Algorithmic Efficiency Must Be Balanced to Enhance Data Mesh Resilience
Vendor-Locked DevOps Strategies
Adopting and Sustaining Microservice-Based Software Development
The microservice approach to software development offers an alternative to the conventional monolith style.
More Efficient Fault-Tolerant Quantum Computing
Dynamic Placement in Refugee Resettlement
In this paper, we design an online algorithm for refugee allocation.
Technical Perspective: Improving Refugees’ Integration with Online Resource Allocation
"Dynamic Placement in Refugee Resettlement," by Narges Ahani et al., applies online resource allocation concepts to a new and important area: refugee resettlement.
Ensuring Business Continuity with Backup Cloud Storage Choices
Thoughts on AI Interoperability
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines
This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect.
Technical Perspective: Bridging AI with Real-Time Systems
"Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines," by Shengzhong Liu et al., proposes a new methodology for overcoming the limitations of current AI frameworks to enable the use of deep neural networks in mission-critical systems.
The Role of Autonomous Machine Computing in Shaping the Autonomy Economy
Governments Are Spying on Your Push Notifications
Protecting Life-Saving Medical Devices From Cyberattack
On Specifying for Trustworthiness
Achievement in Microarchitecture
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