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In 2009, Reis et al. proposed the first version of the process-per-site model to isolate web pages based on the page's web origin. [9] This was improved upon in 2009 by the Gazelle research browser, which separated specific document frames based on their web principal, a security barrier that corresponded with the specific document that was being loaded.
APT40, also known as BRONZE MOHAWK (by Secureworks), [1] FEVERDREAM, G0065, GADOLINIUM (formerly by Microsoft), [2] Gingham Typhoon [3] (by Microsoft), GreenCrash, Hellsing (by Kaspersky), [4] Kryptonite Panda (by Crowdstrike), Leviathan (by Proofpoint), [5] MUDCARP, Periscope, Temp.Periscope, and Temp.Jumper, is an advanced persistent threat operated by the Hainan State Security Department, a ...
Threat intelligence platforms [3] are made up of several primary feature areas [4] that allow organizations to implement an intelligence-driven security approach. These stages are supported by automated workflows that streamline the threat detection, management, analysis, and defensive process and track it through to completion:
Flame (a.k.a. Da Flame) was identified in May 2012 by the MAHER Center of the Iranian National CERT, Kaspersky Lab and CrySyS Lab (Laboratory of Cryptography and System Security) of the Budapest University of Technology and Economics when Kaspersky Lab was asked by the United Nations International Telecommunication Union to investigate reports of a virus affecting Iranian Oil Ministry ...
A host-based IDS is capable of monitoring all or parts of the dynamic behavior and the state of a computer system, based on how it is configured.Besides such activities as dynamically inspecting network packets targeted at this specific host (optional component with most software solutions commercially available), a HIDS might detect which program accesses what resources and discover that, for ...
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In order to positively identify attack traffic, the system must be taught to recognize normal system activity. The two phases of a majority of anomaly detection systems consist of the training phase (where a profile of normal behaviors is built) and testing phase (where current traffic is compared with the profile created in the training phase ...
The most common classifications are network intrusion detection systems (NIDS) and host-based intrusion detection systems (HIDS). A system that monitors important operating system files is an example of an HIDS, while a system that analyzes incoming network traffic is an example of an NIDS. It is also possible to classify IDS by detection approach.