Protection of LAN-wide, P2P interactions: a holistic approach

This article advocates the need of a holistic approach to protect LAN interactions and presents a solution for implementing it based on secure LAN (SLAN), a novel security architecture. SLAN uses the 802.1X access control mechanisms and is supported by a key distribution centre (KDC) built upon an 802.1X authentication server. The KDC is used, together with a new host identification policy and modified DHCP servers, to provide proper resource allocation and message authentication in DHCP transactions. The KDC is used to authenticate ARP transactions and to distribute session keys to pairs of LAN hosts, allowing them to set up arbitrary, LAN-wide peer-to-peer security associations using such session keys. We show how PPPoE and IPSec security associations may be instantiated and present a prototype implementation for IPSec

Modelling Irregularly Sampled Time Series Without Imputation

Modelling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into regularly sampled data via imputation. These models assume an underlying missing mechanism leading to unwanted bias and sub-optimal performance. We present SLAN (Switch LSTM Aggregate Network), which utilizes a pack of LSTMs to model ISTS without imputation, eliminating the assumption of any underlying process. It dynamically adapts its architecture on the fly based on the measured sensors. SLAN exploits the irregularity information to capture each sensor's local summary explicitly and maintains a global summary state throughout the observational period. We demonstrate the efficacy of SLAN on publicly available datasets, namely, MIMIC-III, Physionet 2012 and Physionet 2019. The code is available at https://github.com/Rohit102497/SLAN