„something, that is allegedly secure is not necessarily ... · appearance can be deceptive, our...
TRANSCRIPT
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„Something, that is allegedly secure is not necessarily secure,
Something, that is allegedly known might turn out to be unknown. Appearance can be deceptive,
our senses can deceive us.Even though experience and knowledge
can limit errors,reality also limits those.“
Author: unknown
Inspired by Berthold Brecht
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Michael Spranger and Dirk Labudde
Sonntag, 9. Juli 2017
Learning from the Human Immune System:
Artificial T-cells as a Response to Cyber
Attacks
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09.07.2017 3
Mittweida
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bigM - Bioinformatics
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FoSIL – Forensic Sciences
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FoSIL – Expert Opinions
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Bioinformatics and Forensics - How today's Life Science Technologies can shape the Crime Sciences of tomorrow
forensics/it-security
Bioinformatics/Life Science
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The lift in the human body
intranetwww
• organism• organ• tissue• cell• organelle
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Technical Perspective - SOA
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functional and structural unit
The living cell
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The cell and the surrounding
signaling pathway of EGF
Human Protein Reference database http://www.hprd.org
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A human cell and the surrounding
omnis celula e celula
infections
specific reactions immune reaction
signal transductionmetabolic pathways
Protein-protein-interactiongen regulation
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Why does this work in a cell?
Why can we not implement this in a technical manner?
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How does the immune system work?
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Transfer pathogens to people
Blood and tissue
droplet Contact
water
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Human Immune Response System
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The Antigen (Virus) and Anti-body
Pattern/signatures for recognition and binding
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Pattern recognition
Methods for information extraction
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What does this mean forcyber attacks?
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Infection of „computer-networks“
Hacker hits on U.S. power and
nuclear targets spiked in 2012
Number of annual cyber attacks in
the years 2009 to 2014 (in millions)
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Targets for critical infrastructure
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Cyber attack
http://map.norsecorp.com/#/
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Statistics
?
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Types of Malware
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Malware is similar to a software: it consists of a program code that can perform various actions when it is activated or started.
Common characteristics
In contrast to serious software, however, the unwanted code usually tries to spread unintentionally. This can be done independently or with the help of other programs / functions.
After infection, the malware continues to hide (to download program codes from the Internet, to send SPAM or to spy on personal data), or to identify itself by trying to blackmail the user, delete files, or encrypt and unwanted ones Web pages.
A computer virusregularly consists ofthree parts. • replication unit• trigger• Payload
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Malware
• time-independent detection• Specific and adaptive antibodies • isolation
• Virus Scanner
• Real-time protection
• firewall management
• mail protection
Current security systems:
Problems: signatures too old, Adaption to slow (there is no really adaption), heuristics not good enough (minimal true positives)
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Virus Scanner – new/old ideas
Real time scanning (continuously)• all components • random access memory• Known signatures• Algorithms for the prediction of unknown signatures (Genetic algorithms)• code scanner (emails, documents) – new software fragments (quarantine)• Automatic (semi-automatic) penetration tests
New independent components
• Information units for the whole network • Scanning of trigger units - Logical network
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Virus Scanner – new/old ideas
New independent component
Adaption of the biological process
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Virus Scanner – new/old ideas
New independent component
Classical Virus Scanner
Signature modulation
activation
elimination
Σ modulations
isolation
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Simulation Grid --- Topology - spread
Topology encapsulates
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Securing the signal transduction of the socio-technical environment: Social network (Facebook)
Example
THE INFILTRATION GAME
Artificial Immune System for the Exploitation of Crime
Relevant Information in Social Networks
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“Most massive attack in Leipzig since the Pogrom Night in
November 1938”
[LVZ 12th January 2016]
Introduction
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Are we able to predict such incidents?
Yes, by monitoring of socialnetworks?
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Rage announced and stoked by Social Networks
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Incident Detection
0
5
10
15
20
25
30
35
40
45
0
1000
2000
3000
4000
5000
6000
Negative Comment Sentences
Negative Post Sentences
Hot Phase
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SoNA: A Prototype
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Challenge – vast amount of profiles
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Challenges – closed/secret groups
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This is just like pathogens, isn‘t it?
Remember, what does the human body do?
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Human Immune Response System
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Can we do this for socialnetworks in the same way?
Are we able to construct an artificialimmune system?
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Agent-based Social Network Analysis
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Artificial Immune System - Workflow
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Conclusion
Classical Virus Scanner
Signature modulation
activation
elimination
Σ modulations
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VISIT US AT: www.bioforscher.de/FoSIL