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Enterprise Immune System Technology

Written by DFM Team


Enterprise Immune System Technology 

Cyber security is one of the greatest technical challenges of our day. Nation states, enterprises and individuals are now routinely outpaced by sophisticated attacks, which are successful not only in infiltrating fortified network borders, but also in going unnoticed inside their systems for long periods of time. Security practitioners tasked with keeping networks safe naturally ask the question “In an age of brazen, fastspreading and never-seen-before attacks, how do you defend networks against ‘unknown unknowns’?” The traditional approach to cyber defence rests on the assumption that you can look at yesterday’s attack to define and pre-empt those of tomorrow. The belief is that by truly understanding the nature of the threat we are trying to defend against, we can design security policies, networks, controls, and operational practices to guard against future perils.

Sally Epstein explores the use of advanced machine learning to detect and respond to cyber-threats in real time.

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Dr Tim Watson is the head of the Department of Computer Technology at De Montfort University

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 40 on sale from August 2019:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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