Multidomain transformer-based deep learning for early detection of network intrusion

Timely response of Network Intrusion Detection Systems (NIDS) is constrained by the flow generation process which requires accumulation of network packets. This paper introduces Multivariate Time Series (MTS) early detection into NIDS to identify malicious flows prior to their arrival at target systems. With this in mind, we first propose a novel feature extractor, Time Series Network Flow Meter (TS-NFM), that represents network flow as MTS with explainable features, and a new benchmark dataset is created using TS-NFM and the meta-data of CICIDS2017, called SCVIC-TS-2022. Additionally, a new deep learning-based early detection model called Multi-Domain Transformer (MDT) is proposed, which incorporates the frequency domain into Transformer. This work further proposes a Multi-Domain Multi-Head Attention (MD-MHA) mechanism to improve the ability of MDT to extract better features. Based on the experimental results, the proposed methodology improves the earliness of the conventional NIDS (i.e., percentage of packets that are used for classification) by 5x10^4 times and duration-based earliness (i.e., percentage of duration of the classified packets of a flow) by a factor of 60, resulting in a 84.1% macro F1 score (31% higher than Transformer) on SCVIC-TS-2022. Additionally, the proposed MDT outperforms the state-of-the-art early detection methods by 5% and 6% on ECG and Wafer datasets, respectively.Comment: 6 pages, 7 figures, 3 tables, IEEE Global Communications Conference (Globecom) 202

MPTCP Robustness Against Large-Scale Man-in-the-Middle Attacks

International audienceMultipath communications at the Internet scale have been a myth for a long time, with no actual protocol being deployed at large scale. Recently, the Multipath Transmission Control Protocol (MPTCP) extension was standardized and is undergoing rapid adoption in many different use-cases, from mobile to fixed access networks, from data-centers to core networks. Among its major benefits-i.e., reliability thanks to backup path rerouting, through-put increase thanks to link aggregation, and confidentiality being more difficult to intercept a full connection-the latter has attracted lower attention. How effective would be to use MPTCP, or an equivalent multipath transport layer protocol, to exploit multiple Internet-scale paths and decrease the probability of Man-in-the-Middle (MITM) attacks is a question which we try to answer. By analyzing the Autonomous System (AS) level graph, we identify which countries and regions show a higher level of robustness against MITM AS-level attacks, for example due to core cable tapping or route hijacking practices.

Current challenges for biological treatment of pharmaceutical-based contaminants with oxidoreductase enzymes: immobilization processes, real aqueous matrices and hybrid techniques

The worldwide access to pharmaceuticals and their continuous release into the environment have raised a serious global concern. Pharmaceuticals remain active even at low concentrations, therefore their occurrence in waterbodies may lead to successive deterioration of water quality with adverse impacts on the ecosystem and human health. To address this challenge, there is currently an evolving trend toward the search for effective methods to ensure efficient purification of both drinking water and wastewater. Biocatalytic transformation of pharmaceuticals using oxidoreductase enzymes, such as peroxidase and laccase, is a promising environmentally friendly solution for water treatment, where fungal species have been used as preferred producers due to their ligninolytic enzymatic systems. Enzyme-catalyzed degradation can transform micropollutants into more bioavailable or even innocuous products. Enzyme immobilization on a carrier generally increases its stability and catalytic performance, allowing its reuse, being a promising approach to ensure applicability to an industrial scale process. Moreover, coupling biocatalytic processes to other treatment technologies have been revealed to be an effective approach to achieve the complete removal of pharmaceuticals. This review updates the state-of-the-art of the application of oxidoreductases enzymes, namely laccase, to degrade pharmaceuticals from spiked water and real wastewater. Moreover, the advances concerning the techniques used for enzyme immobilization, the operation in bioreactors, the use of redox mediators, the application of hybrid techniques, as well as the discussion of transformation mechanisms and ending toxicity, are addressed.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/04469/2020 unit, and by LABBELS – Associate Laboratory in Biotechnology, Bioengineering and Microelectromechnaical Systems, LA/P/0029/2020. Helena Sá thanks FCT for funding her PhD grant (UI/BD/151239/2021).info:eu-repo/semantics/publishedVersio

Contribuição ao estudo das características físico-químicas e da fração lipídica do leite orgânico.

Produtos orgânicos consistem em uma alternativa para uma alimentação saudável. Considera-se leite orgânico aquele produzido em sistema no qual é vedado o uso de agrotóxico sintético ou outros insumos artificiais tóxicos e organismos geneticamente modificados, visando à oferta de produtos saudáveis e de elevado valor nutricional. Existem poucos dados disponíveis sobre leite orgânico na literatura, mas há indicações de que este apresenta maior teor nutritivo quando comparado ao leite produzido em sistema convencional. O objetivo deste trabalho foi caracterizar a composição físico-química, o perfil de ácidos graxos e ácido linoléico conjugado (CLA) em leites pasteurizados integrais oriundos de agricultura orgânica brasileira. Os leites orgânicos foram analisados durante o período de doze meses e os resultados comparados com aqueles obtidos de leites pasteurizados integrais provenientes de sistemas convencionais. A sazonalidade e o manejo dos animais afetaram a composição química dos leites estudados no período de doze meses. Os teores de proteína foram maiores em leite orgânico, porém tendência inversa foi observada nos níveis de gordura. Os principais ácidos graxos do leite não apresentaram diferenças significativas durante as estações do ano e entres os leites. Entretanto, foi verificado maior teor de CLA em leites orgânicos (2,8 vezes maior que em leite convencional), provavelmente devido à dieta dos animais

Toward Reliable Intra-Body Molecular Communication: An Error Control Perspective

Progress in bioengineering and nanotechnology has led to advances in implantable nanoscale devices. Providing synthetic molecular communication among these devices is an ongoing unsolved challenge. Biological systems inspire promising approaches for engineering data communication in molecular communication, but noises from dynamic tissue signaling result in low data rate and high latency. Thus, error control techniques become critical for reliable communication. This article contributes to a detailed and precise view of existing methods for error control in in-body molecular communication. It classifies the free-diffusion and cell signaling sources of noises. The article presents an error prevention technique, encoding multiple molecular information carriers for cell-signaling-based molecular communication systems. It highlights open research opportunities

Assessing RoQ Attacks on MANETs over Aware and Unaware TPC Techniques

Abstract-Adaptation mechanisms, such as transmission power control (TPC) techniques, cognitive radio technology and intelligent antenna, have been applied to efficiently manage the use of resources on wireless ad hoc networks. However, these mechanisms open doors for Reduction of Quality (RoQ) attacks. Those attacks damage network services exploiting adaptation capability and they can be easily launched on mobile ad hoc networks (MANETs). This paper assesses the influence of RoQ attacks on MANETs, aiming to provide insights and lead the design of control access mechanisms able to prevent or mitigate them. We evaluate MANETs supported by a modified IEEE 802.11 using unaware and aware TPC techniques. We analyze the impact of three types of RoQ attacks by simulations, and we show their effect over more dynamic aware TPC techniques