What's cyber security?

Computer security, cybersecurity or information technology security (IT security) is the security of computer systems in the theft of or damage to their own hardware, applications, or digital information, in addition to in the disruption or misdirection of their solutions they supply. The area is becoming more important because of greater reliance on computer technologies, the web and wireless system standards like Bluetooth and Wi-Fi, and as a result of development of "smart" devices, such as televisions, smartphones, and the numerous devices which constitute the"Internet of things". Due to its complexity, both regarding science and politics, cybersecurity can also be one of the significant challenges in the modern world.

What's cyber security?

Organizations face many threats to their data systems and information. Knowing all of the fundamental elements to cyber safety is the first step to fulfilling these threats.

Types of cyber security.

The reach of cyber protection is broad. The core regions are explained below, and some other fantastic cyber security plan must take all of them into consideration.

Critical infrastructure includes the cyber-physical systems which society is based on, for example, electricity grid, water purification, traffic lighting and hospitals. Plugging a power plant to the world wide web, as an instance, makes it vulnerable to cyber attacks. The solution for associations accountable for critical infrastructure would be to carry out due diligence to safeguard recognize the vulnerabilities and protect from them. Everyone else must evaluate the way an attack on critical infrastructure that they rely on could impact them and develop a contingency plan.
Critical infrastructure.
Critical infrastructure includes the cyber-physical systems which society is based on, for example, electricity grid, water purification, traffic lighting and hospitals. Plugging a power plant to the world wide web, as an instance, makes it vulnerable to cyber attacks. The solution for associations accountable for critical infrastructure would be to carry out due diligence to safeguard recognize the vulnerabilities and protect from them. Everyone else must evaluate the way an attack on critical infrastructure that they rely on could impact them and develop a contingency plan.
Network security guards against malicious intrusion in addition to malicious insiders. Ensuring network security frequently requires trade-offs. By way of instance, access controls like additional logins may be required, but slow down productivity. Tools used to track network safety create a great deal of information -- so much that legitimate alarms are often overlooked. To help better handle network security monitoring, safety teams are using machine learning how to flag abnormal traffic and alert to risks in real time.
Network security.
Network security guards against malicious intrusion in addition to malicious insiders. Ensuring network security frequently requires trade-offs. By way of instance, access controls like additional logins may be required, but slow down productivity. Tools used to track network safety create a great deal of information -- so much that legitimate alarms are often overlooked. To help better handle network security monitoring, safety teams are using machine learning how to flag abnormal traffic and alert to risks in real time.
The business's move to the cloud generates new safety challenges. By way of instance, 2017 has seen nearly weekly information breaches from badly configured cloud cases. Cloud suppliers are creating new safety tools to help business users secure their information, however, the bottom line remains: Moving into the cloud isn't a panacea for performing due diligence in regards to cyber security.
Cloud security.
The business's move to the cloud generates new safety challenges. By way of instance, 2017 has seen nearly weekly information breaches from badly configured cloud cases. Cloud suppliers are creating new safety tools to help business users secure their information, however, the bottom line remains: Moving into the cloud isn't a panacea for performing due diligence in regards to cyber security.
Application security (AppSec), especially web application security, has become the weakest technical point of attack, but few organizations adequately mitigate all the OWASP Top Ten web vulnerabilities. AppSec begins with secure coding practices, and should be augmented by fuzzing and penetration testing. Rapid application development and deployment to the cloud has seen the advent of DevOps as a new discipline. DevOps teams typically prioritize business needs over security, a focus that will likely change given the proliferation of threats.
Application security.
Application security (AppSec), especially web application security, has become the weakest technical point of attack, but few organizations adequately mitigate all the OWASP Top Ten web vulnerabilities. AppSec begins with secure coding practices, and should be augmented by fuzzing and penetration testing. Rapid application development and deployment to the cloud has seen the advent of DevOps as a new discipline. DevOps teams typically prioritize business needs over security, a focus that will likely change given the proliferation of threats.
IoT describes a huge array of crucial and non-critical cyber physiological systems, such as appliances, sensors, printers and safety cameras. IoT devices often ship in an insecure condition and give little to no security, posing risks to not just their customers, but also to other people online, since these devices frequently find themselves part of a botnet. This presents special security challenges for the home users and society.
Internet of things (IoT) security.
IoT describes a huge array of crucial and non-critical cyber physiological systems, such as appliances, sensors, printers and safety cameras. IoT devices often ship in an insecure condition and give little to no security, posing risks to not just their customers, but also to other people online, since these devices frequently find themselves part of a botnet. This presents special security challenges for the home users and society.

.NET Logging Best Practices and Tools

Is your organization looking for a better way to log? Unfortunately, logging comes with several challenges. Especially when logs pile up with an immense amount of data. This makes extracting key metrics difficult without the right tools. Therefore, it’s vital one has an organized logging practice. Today we’re taking a look at .NET logging. Firstly, ... Read more .NET Logging Best Practices and Tools

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Is your organization looking for a better way to log? Unfortunately, logging comes with several challenges. Especially when logs pile up with an immense amount of data. This makes extracting key metrics difficult without the right tools. Therefore, it’s vital one has an organized logging practice. Today we’re taking a look at .NET logging. Firstly, ... Read more .NET Logging Best Practices and Tools

The post .NET Logging Best Practices and Tools appeared first on Software Reviews, Opinions, and Tips - DNSstuff.

Is your organization looking for a better way to log? Unfortunately, logging comes with several challenges. Especially when logs pile up with an immense amount of data. This makes extracting key metrics difficult without the right tools. Therefore, it’s vital one has an organized logging practice.

Today we’re taking a look at .NET logging. Firstly, I’ll introduce logging in the .NET framework, including libraries and the logging API. Thereafter, I’ll describe some of the best practices. Finally, I’ll introduce some software used to make .NET logging easier.

Logging in .NET’s Framework

Before we go further, it’s important you know about logging levels, libraries, and the API in .NET.

.NET has three main logging levels:

  • Error: This is a level under reservation for critical events. These often cause the system to crash.
  • Warning: This level warns the administrator of a possible problem. A warning might not make the application crash but could lead to critical errors.
  • Information: This level isn’t considered critical as it only gives information on what’s happening as the application runs. It provides extra information in case the logs are reviewed. .NET logging automates monitoring of errors and performance and allows for errors to be investigated after they’ve happened. It can also gather user statistics to discover research usage patterns, behavior, and demographics.

.NET Logging Libraries

Next, let’s look at the many logging libraries available supporting the .NET framework. For example, NLog, Serilog, NSpring, and log4net. These are the libraries currently dominating .NET logging.

NLog Logging Library

Firstly, NLog is an open-source logging library for .NET. It simplifies writing to various destinations, including file, console, email, and database. Advantageously, NLog is easy to configure both through the configuration file and programmatic configuration.

Serilog

Similarly, we have Serilog. It’s a structured logging library for Microsoft .NET. It uses sinks to send logs to text files, databases, log management solutions, or another target. Serilog has a clean API and is easy to set up.

It implements great support from writing logs as JSON by using the built-in JSON formatter.

Log4net

The Apache Foundation’s log4net is the .NET equivalent to log4j, one of the first logging frameworks. Also, log4net is flexible in where the logging information is stored. Moreover, log4net helps program output log statements to various log targets. It supports multiple frameworks and can output to multiple logging targets.

Fortunately, log4Net enables logging at runtime without modifying the code.

Nspring

Nspring is a flexible .NET logging library designed to support the processing of diagnostic messages with any .NET languages. Nspring supports multiple targets ranging from a text file to writing to a remote database. It’s easy to set up. Although it requires lots of code to get it started.

.NET Logging API

Furthermore, .NET provides a logging API designed to simplify logging implementation in your .NET project. In my opinion, it’s the most important building block for implementing logging in .NET. Moreover, the logging API allows you to add the aforementioned libraries or other third-parties by calling the required extension method in Startup.cs. See here for more information.

Using the logging API, the logs will be written to the root directory of your app.

Best Practices

  1. Logs should include contextual information. For example, indications of why the application failed. Furthermore, the logs should include information such as when the failure occurred, where in the code the application failed, and what the system was doing when the failure occurred. This information will help you to better investigate and resolve an event.
  2. Search and filter using context. Logs should be meaningful to the humans who need to read the raw data and also be in formats capable of being parsed by machines. Make log information meaningful by adding extra context information to the log. User-friendly and readable logs can help you find desired information. This prevents confusion.

Ensure log messages aren’t dependent on a previous message. They may be logged separately after filtering is applied if they’re not in the same category. Logs should be set

  1. to capture enough information. Logging at too high a level doesn’t capture enough information. On the other hand, logging too low captures enormous amounts of information with several details hiding the important data, thus making it hard to find an event in the resulting signal.
  2. Secure logs by encrypting and proactively assigning and managing permissions for individuals who need to access the log files. Also, make sure these log files cannot be modified to hide malicious activities to ensure their integrity is maintained. Take measures to confirm logs don’t contain sensitive and private clear text data.
  3. Logs should convert similar elements to the same format (e.g., dates).
  4. Categorize logs based on their level of seriousness. Use proper logging categories to allow the classification of log messages. Use log levels associated with each message.

The Best Software for Logging in .NET

Finally, with the framework and best practices under our belt, let’s take a look at some of the best software for .NET.

1. Papertrail

Papertrail
© 2020 SolarWinds Worldwide, LLC. All rights reserved.

Firstly, SolarWinds® Papertrail™ is a web application monitoring platform designed to help developers diagnose, fix, and optimize their code’s performance. It logs messages for servers, cloud services, and apps. It aggregates app logs, text log files, and Syslog in one place. This provides sufficient contextual information, allowing you to effectively monitor logs.

Interestingly, Papertrail uses log levels to filter logs and suppress some logging statements. It enriches logs with more context by formatting fields, like the date, for easy understanding. Luckily, it ensures logs are secure by implanting encryption and access control protocols.

Moreover, log categories categorize logs based on their severity for easy filtering and searching. It also provides an intuitive web-based event viewer showing events or logs in real time to uncover insights quickly by using the live tail feature.

Similarly, the advanced searching feature in Papertrail significantly reduces troubleshooting time. Specifically, by using regular expressions and context to search through log data and spot issues faster.

2. Logstash

Logstash
© 2020. Elasticsearch B.V. All Rights Reserved

Another tool is Logstash. It’s a free and open server-side data processing pipeline. Logstash dynamically ingests data of various formats and sizes from multiple sources. It transforms the log data. Then it sends it to the preferred destination. Logstash includes loads of plugins and out-of-the-box connections that can be used to enrich data and thus provide context.

The main aspect of Logstash is its ability to change data on the fly. In other words, you can make changes while processes are in action. Allowing you to log efficiently.

Logstash offers features for secure communication. You can communicate with external systems safely as all plugins support authentication and encryption over HTTP connections.

Above all, configuration of Logstash is simple. You have the option to configure by using the GUI or through the configuration files.

3. Sentry

© 2020 • SENTRY IS A REGISTERED TRADEMARK OF FUNCTIONAL SOFTWARE, INC.

Sentry is enriched with stack traces to enhance application performances. Fortunately, it doesn’t just provide a list of errors and exceptions. This software has the ability to display an entire organization’s issues in one place. In addition, it can display trails of events leading to an error. Helpful, right?

Sentry provides real-time monitoring and visual elements to visualize performance and application health to uncover insights for developers. This will greatly reduce the time needed to troubleshoot or monitor.

Conclusion

Effective logging is crucial to debugging during the development and production of an application. A good logging infrastructure is vital for system administrators to understand the state of every system’s components and prevent errors, threats, and other inconveniences to each component.

.NET logging provides context-rich logs with sufficient information for troubleshooting, and the ability to be easily parsed by other tools. The right log message can be the key to unlocking the trickiest software issues. To get the best value out of your logging, follow logging best practices, and use a log management tool. Tools like Papertrail, for example, can index all fields and enable powerful analytic and searching capabilities, boosting your .NET logging capabilities.

This post was written by Daniel de Oliveira. Daniel is a full stack developer and analyst, experienced with Java, Angular, and Flutter.

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