Digital assets have come under various network security threats in the digital age. As a kind of equipment to protect assets, intrusion detection system (IDS) is less efficient if alert not timely and IDS useless accuracy cannot meet requirements. Therefore, an model that combines machine learning with deep proposed this paper. The uses k-means random forest (RF) algorithms for binary classification, distributed computing these implemented on Spark platform quickly classify normal events...

Anomaly detection is a unique type of classification challenge. The coupling imbalance, overlap and other complexity the data such as noise in industrial internet things (IIoT) scenarios affect accuracy seriously. To address this issue, article proposes novel oversampling approach based on synthetic minority technology via hypersphere coverage adaptive differential evolution (HCADE-SMOTE). However, intensification caused by generated samples over-loss valid information have always been...

Logs are extensively used to analyze the running states of systems in many fields, such as cyber security, performance monitoring, and fault diagnosis, by recording events representing real-time system states. Conventional log parsing methods time-consuming prone overfitting or underfitting. Thus, automatic methods, known parsers, have been proposed. However, most parsers do not exhibit both high accuracy low time. In addition, they typically overfit during template generation; thus, cannot...

Pond aquaculture is the major freshwater method in China. Ammonia-oxidizing communities inhabiting pond sediments play an important role controlling culture water quality. However, distribution and activities of ammonia-oxidizing microbial along sediment profiles are poorly understood this specific environment. Vertical variations abundance, transcription, potential ammonia oxidizing rate, community composition bacteria (AOB) archaea (AOA) samples (0-50 cm depth) collected from a were...

In recent years, the development of Internet Things technology has been very rapid. However, with explosive growth IoT devices, challenges facing environment are becoming more and serious. How to ensure security becomes a key issue. The primary purpose is protect private data users, infrastructure, devices. This paper reviews threat models at each level in years discusses some past future solutions. At first, threats systematically introduced from perspectives physics, network data....

The following topics are dealt with: learning (artificial intelligence); data mining; social networking (online); pattern classification; text analysis; security of data; feature extraction; Internet; graph theory; computer network security.

Abstract Grass carp, Ctenopharyngodon idella , is the largest freshwater aquaculture fish species worldwide. However, its environmental impacts are increasingly controversial. In this paper, we considered production of a 1500 g commercial grass carp as an example, analyzed through life cycle assessment. The results showed that indicators global warming potential (GWP), acidification potential, eutrophication eco‐toxicity (FAETP), land competition (LC), and fossil energy consumption producing...

Cybersecurity risk assessment is an important means of effective response to network attacks on industrial control systems. However, cybersecurity process susceptible subjective and objective effects. To solve this problem, paper introduced method based fuzzy theory Attack-Defense Tree model probability technology, applied it airport automatic fuel supply system. Firstly, was established the potential threat system deployed security equipment. Secondly, interval attack path calculated using...

Water quality monitoring is an important way to monitor the environment, control pollution and protect water resources, its research has great practical significance for environmental protection. Aiming at disadvantages of existing methods such as high node power consumption small coverage, this paper proposes online system scheme using NB-IOT protocol communication. The prototype shows that can meet needs Bolong Lake.

The algal succession in Microcystis blooms of varying biomass under continuous aeration was studied a greenhouse. There were four treatments (control, Low, Medium, and High) with initial chlorophyll (Chl-a) 32.5, 346.8, 1413.7, 14,250.0 μg L-1, respectively. During the experiment, Cyanophyta lowest Medium treatment (P < 0.05), while its Chlorophyta highest 0.05). Both Bacillariophyta High biomass, particularly diatom Nitzschia palea Low cells attached to colonies. Thus, shift disturbance...

In the Internet of Things, services can be provisioned using centralized architectures, where central entities acquire, process, and provide information. Alternatively, distributed at edge network exchange information collaborate with each other in a dynamic way, also used. order to understand applicability viability this approach, it is necessary know its advantages disadvantages not only terms security privacy challenges. The purpose paper show that IoT three-layer logic architecture...

With the rapid development of Internet Things, combination Things with machine learning, Hadoop and other fields are current trends. Distributed File System (HDFS) is one core components Hadoop, which used to process files that divided into data blocks distributed in cluster. Once log abnormal, it will cause serious losses. When using learning algorithms for system anomaly detection, output threshold-based classification models only normal or abnormal simple predictions. This paper...

Syslog audit acts an important role in keeping host secure. This paper studied Host-based syslog, and constructed a secure state model for performing normally from the angle of anomaly detection. Through deep research on syslog protocol, log collection tool was created collecting remote or local syslog. Because different segments imply system information, separated every segment record with Regular Expression, then it made data preprocessing statistic rule matching, end conducted analysis by...