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Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

Tools and packages that are used for countering forensic activities, including encryption, steganography, and anything that modify attributes. This all includes tools to work with anything in general that makes changes to a system for the purposes of hiding information.

🔐 Tutorial of setting up Security for your API with one way authentication with TLS/SSL and mutual authentication for a java based web server and a client with both Spring Boot. Different clients are provided such as Apache HttpClient, OkHttp, Spring RestTemplate, Spring WebFlux WebClient Jetty and Netty, the old and the new JDK HttpClient, the old and the new Jersey Client, Google HttpClient, Unirest, Retrofit, Feign, Methanol, vertx, Scala client Finagle, Featherbed, Dispatch Reboot, AsyncHttpClient, Sttp, Akka, Requests Scala, Http4s Blaze, Kotlin client Fuel, http4k, Kohttp and ktor. Also other server examples are available such as jersey with grizzly. Also gRPC, WebSocket and ElasticSearch examples are included

  • tls
  • truststore
  • certificate
  • keystore

TranslatedJava Web project demo. Backend: spring + spring mvc + mybatis + maven, covering the quartz scheduled tasks, ehcache caching, RESTful API, email sending... Frontend: react + reflux + webpack, covering ES6, jquery, react-router, ant design, etc. Provides some ideas, for reference only.