Designing a routing protocol for large low-power and lossy networks (LLNs), consisting of thousands constrained nodes unreliable links, presents new challenges. The IPv6 Routing Protocol Low-power Lossy Networks (RPL), have been developed by the IETF ROLL Working Group as preferred to provide functionality in LLNs. RPL provides path diversity building maintaining directed acyclic graphs (DAG) rooted at one (or more) gateway. However, an adversary that impersonates gateway or has compromised...

In this paper we consider an alternative, highly agile approach called backpressure routing for Delay Tolerant Networks (DTN), in which and forwarding decisions are made on a per-packet basis. Using information about queue backlogs, random walk data packet scheduling nodes can make without the notion of end-to-end routes. To best our knowledge, is first ever implementation dynamic DTNs. Simulation results show that proposed has advantages terms DTN networks.

In this paper we consider an alternative, highly agile approach called backpressure routing for Delay Tolerant Networks (DTN), in which and forwarding decisions are made on a per-packet basis. Using information about queue backlogs, random walk data packet scheduling nodes can make without the notion of end-to-end routes. To best our knowledge, is first ever implementation dynamic DTNs. Simulation results show that proposed has advantages terms DTN networks.

Desktops and laptops can be maliciously exploited to violate privacy. There are two main types of attack scenarios: active passive. In this paper, we consider the passive scenario where adversary does not interact actively with device, but he is able eavesdrop on network traffic device from side. Most Internet encrypted thus attacks challenging. Previous research has shown that information extracted multimedia streams. This includes video title classification non HTTP adaptive streams...

Desktops and laptops can be maliciously exploited to violate privacy. There are two main types of attack scenarios: active passive. In this paper, we consider the passive scenario where adversary does not interact actively with device, but he is able eavesdrop on network traffic device from side. Most internet encrypted thus attacks challenging. show that an external attacker identify operating system, browser application HTTP (HTTPS). To best our knowledge, first work shows this. We provide...

The world of malware is shifting towards using encrypted traffic. While encryption improves the privacy users, it brings challenges in fields QoS, QoE, and cybersecurity. Recent state-of-the-art Deep-Learning architectures for traffic classifications demonstrated superb results tasks categorization over In this paper, we leverage feasibility to use such detection classification gain insights into how well these perform domain Specifically, present a model (MalDIST), which outperforms both...

Traffic encryption is vital for internet security but complicates analytical applications like video delivery optimization or quality of experience (QoE) estimation, which often rely on clear text data. While many models address the problem QoE prediction in streaming, conferencing (VC) domain remains underexplored despite rising demand these applications. Existing provide low-resolution predictions, categorizing into broad classes such as "high" "low", rather than providing precise,...

Receiver modules in Global Navigation Satellite Systems (GNSS) are capable of providing positioning and velocity estimations that sufficiently accurate for the purpose road navigation. However, even optimal open-sky conditions, GNSS-based carries an average error 2-4 m. This imposes effective limitation on vehicle lane detection, a desired functionality various navigation safety applications. In this paper, we present novel framework lane-level accuracy using GNSS devices 3-D shadow...

Abstract This study was designed to improve blood glucose level predictability and future hypoglycemic hyperglycemic event alerts through a novel patient‐specific supervised‐machine‐learning (SML) analysis of based on continuous‐glucose‐monitoring system (CGM) that needs no human intervention, minimises false‐positive alerts. The CGM data over 7 50 non‐consecutive days from 11 type‐1 diabetic patients aged 18 39 with mean HbA1C 7.5% ± 1.2% were analysed using four SML models. algorithm...

Software Defined Networking decouples the control and data planes. The response time quality of service controllers is a key aspect in implementing paradigm. A wireless plane even more challenging. Many radio communication problems arise modeling east west bound southbound interfaces. Wireless networks feature many unique components metrics that often do not exist wired networks: separate transport may intensify on latency within plain with additional interference. Obviously, Wi-Fi based has...

Malicious domains are increasingly common and pose a severe cybersecurity threat. Specifically, many types of current cyber attacks use URLs for attack communications (e.g., C&C, phishing, spear-phishing). Despite the continuous progress in detecting attacks, there still critical weak spots structure defense mechanisms. Since machine learning has become one most prominent malware detection methods, robust feature selection mechanism is proposed that results malicious domain models...

DASH is new ISO/IEC MPEG and 3GPP standard for HTTP multimedia streaming that begins to be widely accepted in the industry. design flexible support various formats. unify proprietary adaptive solutions suggests differing between them by using different behavioral approaches, each one best suited specific application. Each behavior determined Adaptation Logic (AL), which decides according estimation of network conditions buffer state what suitable segment requested from server. This work...

The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet Inspection (DPI). However, Google and certain content providers have started encrypt services. As a result, operators often encounter difficulties in shaping encrypted via DPI. This highlights the need for new classification methods enable smart shaping. These will effectively estimate quality...

This paper focuses on the centdian problem in a cactus network where is connected undirected graph, and any two simple cycles graph have at most one node common. The has important applications for wireless sensor networks when tree topology might not be applicable extensions to ring architecture. criterion represents convex combination of QoS requirements: transport delay. To best our knowledge, no efficient algorithm yet been developed constructing either sequential or distributed. We first...

The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet Inspection (DPI). However, Google and certain content providers have started encrypt services. As a result, operators often encounter difficulties in shaping encrypted via DPI. This highlights the need for new classification methods enable smart shaping. These will effectively estimate quality...