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Phelix: Helix, Security & Performance
Phelix is a high-speed stream cipher with a built-in single-pass message authentication code (MAC) functionality, submitted in 2004 to the eSTREAM contest by Doug Whiting, Bruce Schneier, Stefan Lucks, and Frédéric Muller. The cipher uses only the operations of addition modulo 232, exclusive or, and rotation by a fixed number of bits. Phelix uses a…
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Phelix topic overview
The analysis highlights Helix, Security and Performance as prominent areas in the source structure around Phelix.
Related topics
22
Source areas
4
Connected nodes
26
Extracted relationships
81
Concept neighborhoods
16
Bridge connections
26
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 9 topics
Helix · 8 topics
Security · 3 topics
Performance · 2 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Designers
Doug Whiting, Bruce Schneier, Stefan Lucks, and Frédéric Muller
First published
2004
Key sizes
256 bits
Speed
8 cycles per byte on modern x86-based processors (claimed)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Phelix connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Phelix shows recurring relationship patterns in the source. For example, Phelix → ACISP, Addition, Addition With Batch Queries, Authentication, Bart Preneel, Benaissa, Bruce Schneier, Chelton, Chosen-key Distinguishing Attack, Differential Attacks, Differential Equations, Doug Whiting, Fast Encryption, Fast Software Encryption, Frédéric Muller, FSE, Full, Good, Hadi Ahmadi, Helix Another extracted example is Phelix → ACP, Bart Preneel, Bruce Schneier, CP, CP's, Doug Whiting, Frédéric Muller, Helix, In, John Kelsey, Muller's, Niels Ferguson, Souradyuti Paul, Stefan Lucks, Tadayoshi Kohno, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Phelix
Top relations
related to References· 39
Phelix → ACISP, Addition, Addition With Batch Queries, Authentication, Bart Preneel, Benaissa, Bruce Schneier, Chelton, Chosen-key Distinguishing Attack, Differential Attacks, Differential Equations, Doug Whiting, Fast Encryption, Fast Software Encryption, Frédéric Muller, FSE, Full, Good, Hadi Ahmadi, Helix
related to Helix· 16
Phelix → ACP, Bart Preneel, Bruce Schneier, CP, CP's, Doug Whiting, Frédéric Muller, Helix, In, John Kelsey, Muller's, Niels Ferguson, Souradyuti Paul, Stefan Lucks, Tadayoshi Kohno, The
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 81 structured relationships around Phelix. Examples in this analysis include Phelix → Designers → Doug Whiting, Bruce Schneier, Stefan Lucks, and Frédéric Muller and Phelix → First published → 2004. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Phelix
Designers
Doug Whiting, Bruce Schneier, Stefan Lucks, and Frédéric Muller
1.00
infobox
Phelix
First published
2004
1.00
infobox
Phelix
Key sizes
256 bits
1.00
infobox
Phelix
Speed
8 cycles per byte on modern x86-based processors (claimed)
1.00
infobox
Phelix
is a
high-speed stream cipher with a built-in single-pass message authentication code
0.90
text
Phelix
related to External links
Phelix Archived
0.60
section
Phelix
related to External links
July
0.60
section
Phelix
related to External links
Wayback Machine
0.60
section
Phelix
related to External links
Differential Attacks
0.60
section
Phelix
related to External links
Hongjun Wu
0.60
section
Phelix
related to External links
Bart Preneel Archived
0.60
section
Phelix
related to External links
August
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Phelix bring nearby vocabulary together. In this analysis, examples include Cipher, Doug and Whiting. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Phelix
Cipher
Doug
Whiting
Paper
Bruce
Estream
Stefan
Helix
Lucks
Published
Schneier
Stream
phelix
Cipher
Doug
Whiting
Paper
Bruce
Estream
Stefan
Helix
Lucks
Published
Schneier
Stream
stream cipher
Stefan
Phelix
Schneier
Doug
Stream
Whiting
Helix
Bruce
Frédéric
Lucks
Muller
Operations
differential equations of addition
Paul
Souradyuti
Bart
Preneel
Attack
Differential
Uses
Helix
Operations
Plaintext
Frédéric
Stream
distinguishing attack
Differential
Chosen
Plaintext
Helix
Words
Phelix
Paper
Complexity
Cipher
Paul
Souradyuti
Doug
chosen-key distinguishing attack
Differential
Chosen
Plaintext
Helix
Words
Phelix
Paper
Complexity
Cipher
Paul
Souradyuti
Doug
doug whiting
Doug
Whiting
Bruce
Stefan
Lucks
Schneier
Stream
Cipher
Authentication
Bits
Estream
Phelix
helix
Attacks
Stream
Muller
Stefan
Lucks
Published
Schneier
Whiting
Attack
Phelix
Differential
Paper
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Phelix, one of the stronger structural bridges in this analysis connects Phelix with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Phelix
Nodes27
Edges26
Triples81
Avg. degree1.93
Density0.074074
Components1
Source & methodology
TTTA analyzes the structure around Phelix to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Helix, Security & Performance, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
