The document discusses Abstract Syntax Notation (ASN.1), which defines a standard for representing and encoding data structures. It consists of an abstract syntax that describes data unambiguously and a transfer syntax that encodes objects for transmission. ASN.1 is associated with encoding rules like BER, DER, and PER. It provides an example of ASN.1 abstract syntax defining a student record. The document also discusses other related topics like XDR, data compression techniques, video compression, encryption, and security services provided by encryption.
OMT: A DYNAMIC AUTHENTICATED DATA STRUCTURE FOR SECURITY KERNELSIJCNCJournal
We introduce a family of authenticated data structures — Ordered Merkle Trees (OMT) — and illustrate
their utility in security kernels for a wide variety of sub-systems. Specifically, the utility of two types of
OMTs: a) the index ordered merkle tree (IOMT) and b) the range ordered merkle tree (ROMT), are
investigated for their suitability in security kernels for various sub-systems of Border Gateway Protocol
(BGP), the Internet’s inter-autonomous system routing infrastructure. We outline simple generic security
kernel functions to maintain OMTs, and sub-system specific security kernel functionality for BGP subsystems
(like registries, autonomous system owners, and BGP speakers/routers), that take advantage of
OMTs.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
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Utilisation of l-Diversity and Differential Privacy in the Anonymisation of N...Shankar Lal
Noise addition for anonymisation is a known technique for increasing the privacy of a data sets. However this technique is often presented as individual and independent, or, just stated as techniques to be applied. This increases the danger of
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Drubbing an Audio Messages inside a Digital Image Using (ELSB) MethodIOSRJECE
It is mainly focused today to transfer the messages secretly between two communication parties. The message from the sender to receiver should be kept secret so that the information should not known by anyone. Secret is the important thing today. The technique that is used for secure communication is called as steganography and it means that to hide secret information into innocent data. Digital images are ideal for hiding secret information. An image containing a secret message is called a cover image. In this paper will discuss about secret transformation of audio messages. The audio messages are hidden inside a cover image so no one can hack the audio but the audio should be encrypted before hidden inside the image
This book will helps the students who are pursuing Computer Science either B.Sc or B.Tech or Post Graduation. By following this book students are able to learn DBMS easily.
PERFORMANCE ANALYSIS OF PARALLEL IMPLEMENTATION OF ADVANCED ENCRYPTION STANDA...ijistjournal
Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication, and data origin authentication. Most cryptographic algorithms function more efficiently when implemented in hardware than in software running on single processor. However, systems that use hardware implementations have significant drawbacks: they are unable to respond to flaws discovered in the implemented algorithm or to changes in standards. As an alternative, it is possible to implement cryptographic algorithms in software running on multiple processors. However, most of the cryptographic algorithms like DES (Data Encryption Standard) or 3DES have some drawbacks when implemented in software: DES is no longer secure as computers get more powerful while 3DES is relatively sluggish in software. AES (Advanced Encryption Standard), which is rapidly being adopted worldwide, provides a better combination of performance and enhanced network security than DES or 3DES by being computationally more efficient than these earlier standards. Furthermore, by supporting large key sizes of 128, 192, and 256 bits, AES offers higher security against brute-force attacks.
In this paper, AES has been implemented with single processor. Then the result has been compared with parallel implementations of AES with 2 varying different parameters such as key size, number of rounds and extended key size, and show how parallel implementation of the AES offers better performance yet flexible enough for cryptographic algorithms.
OMT: A DYNAMIC AUTHENTICATED DATA STRUCTURE FOR SECURITY KERNELSIJCNCJournal
We introduce a family of authenticated data structures — Ordered Merkle Trees (OMT) — and illustrate
their utility in security kernels for a wide variety of sub-systems. Specifically, the utility of two types of
OMTs: a) the index ordered merkle tree (IOMT) and b) the range ordered merkle tree (ROMT), are
investigated for their suitability in security kernels for various sub-systems of Border Gateway Protocol
(BGP), the Internet’s inter-autonomous system routing infrastructure. We outline simple generic security
kernel functions to maintain OMTs, and sub-system specific security kernel functionality for BGP subsystems
(like registries, autonomous system owners, and BGP speakers/routers), that take advantage of
OMTs.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
Utilisation of l-Diversity and Differential Privacy in the Anonymisation of N...Shankar Lal
Noise addition for anonymisation is a known technique for increasing the privacy of a data sets. However this technique is often presented as individual and independent, or, just stated as techniques to be applied. This increases the danger of
misapplication of these techniques and a resulting anonymised data set that is open to relatively easy re-identification or reconstruction. To better understand the application of these techniques we demonstrate their application to a specific domain - that of network trace anonymisation.
Drubbing an Audio Messages inside a Digital Image Using (ELSB) MethodIOSRJECE
It is mainly focused today to transfer the messages secretly between two communication parties. The message from the sender to receiver should be kept secret so that the information should not known by anyone. Secret is the important thing today. The technique that is used for secure communication is called as steganography and it means that to hide secret information into innocent data. Digital images are ideal for hiding secret information. An image containing a secret message is called a cover image. In this paper will discuss about secret transformation of audio messages. The audio messages are hidden inside a cover image so no one can hack the audio but the audio should be encrypted before hidden inside the image
This book will helps the students who are pursuing Computer Science either B.Sc or B.Tech or Post Graduation. By following this book students are able to learn DBMS easily.
PERFORMANCE ANALYSIS OF PARALLEL IMPLEMENTATION OF ADVANCED ENCRYPTION STANDA...ijistjournal
Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication, and data origin authentication. Most cryptographic algorithms function more efficiently when implemented in hardware than in software running on single processor. However, systems that use hardware implementations have significant drawbacks: they are unable to respond to flaws discovered in the implemented algorithm or to changes in standards. As an alternative, it is possible to implement cryptographic algorithms in software running on multiple processors. However, most of the cryptographic algorithms like DES (Data Encryption Standard) or 3DES have some drawbacks when implemented in software: DES is no longer secure as computers get more powerful while 3DES is relatively sluggish in software. AES (Advanced Encryption Standard), which is rapidly being adopted worldwide, provides a better combination of performance and enhanced network security than DES or 3DES by being computationally more efficient than these earlier standards. Furthermore, by supporting large key sizes of 128, 192, and 256 bits, AES offers higher security against brute-force attacks.
In this paper, AES has been implemented with single processor. Then the result has been compared with parallel implementations of AES with 2 varying different parameters such as key size, number of rounds and extended key size, and show how parallel implementation of the AES offers better performance yet flexible enough for cryptographic algorithms.
Business premises administration organizer. Paperless cloud based knowledge management system. For administrators, financial controllers, health & safety, HR, line managers, directors.
Business premises administration organizer. Paperless cloud based knowledge management system. For administrators, financial controllers, health & safety, HR, line managers, directors.
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For achieving faster communication most of confidential data is circulated through networks as electronic
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against unauthorized attacks. Though security is an important factor, there are various factors that can
affect the performance and selection of cryptographic algorithms during the practical implementation of
these cryptographic ciphers for various applications. This paper provides analysis and comparison of some
symmetric key cryptographic ciphers (RC4, AES, Blowfish, RC2, DES, Skipjack, and Triple DES) on the
basis of encryption time with the variation of various file features like different data types, data size, data
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Paper 6 Fundamental of Information Technology KSOU 2015 Solved QP
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Dynamic selection of symmetric key cryptographic algorithms for securing data...csandit
Most of the information is in the form of electroni
c data. A lot of electronic data exchanged
takes place through computer applications. Therefor
e information exchange through these
applications needs to be secure. Different cryptogr
aphic algorithms are usually used to address
these security concerns. However, along with securi
ty there are other factors that need to be
considered for practical implementation of differen
t cryptographic algorithms like
implementation cost and performance. This paper pro
vides comparative analysis of time taken
for encryption by seven symmetric key cryptographic
algorithms (AES, DES, Triple DES, RC2,
Skipjack, Blowfish and RC4) with variation of param
eters like different data types, data density,
data size and key sizes.
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1. Edmond Wong Sing Huat B031110038
Khor Yong Jian B031110173
Goh Zong Wei B031110071
Fairus Binti Aziz B031110326
2.
3. Abstract Syntax Notation (ASN.1) is an ISO
standard that addresses the issue of
representing, encoding, transmitting, and
decoding data structures. It consists of two
parts:
1. An abstract syntax that describes data structures in
an unambiguous way. Use “ integers”, “character
strings”, and “structures” rather than bits and bytes.
2. A transfer syntax that describes the bit stream
encoding of ASN.1 data objects.
4. The main reasons for the success of ASN.1 is that
it is associated with several standardized
encoding rules such as:
◦ Basic Encoding Rules (BER) - X.209
◦ Canonical Encoding Rules (CER)
◦ Distinguished Encoding Rules (DER)
◦ Packed Encoding Rules (PER) and
◦ XER Encoding Rules (XER).
These encoding rules describe how the values
defined in ASN.1 should be encoded for
transmission, regardless of machine,
programming language, or how it is represented in
an application program.
5. Example of ASN.1’S abstract syntax:
Student ::= SEQUENCE {
name [0] IMPLICIT OCTET STRING OPTIONAL,
grad [1] IMPLICIT BOOLEAN OPTIONAL DEFAULT
FALSE,
gpa [2] IMPLICIT REAL OPTIONAL,
id [3] IMPLICIT INTEGER,
bday [4] IMPLICIT OCTET STRING OPTIONAL
}
6. Though initially used for specifying the
email protocol within the Open Systems
Interconnection environment, ASN.1 has
since then been adopted for a wide range
of other applications, as in network
management, secure email, cellular
telephony, air traffic control, and voice and
video over the Internet.
7. Though initially used for specifying the
email protocol within the Open Systems
Interconnection environment, ASN.1 has
since then been adopted for a wide range
of other applications, as in network
management, secure email, cellular
telephony, air traffic control, and voice and
video over the Internet.
8. Sun Microsystems's External Data
Representation (XDR) is much simpler than
ASN.1, but less powerful. For instance:
1. XDR uses implicit typing. Communicating peers
must know the type of any exchanged data. In
contrast, ASN.1 uses explicit typing; it includes
type information as part of the transfer syntax.
2. In XDR, all data is transferred in units of 4 bytes.
Numbers are transferred in network order, most
significant byte first.
10. 3. Strings consist of a 4 byte length, followed by
the data (and perhaps padding in the last byte).
4. Defined types include: integer, enumeration,
Boolean, floating point, fixed length array,
structures, plus others.
One advantage that XDR has over ASN.1
is that current implementations of ASN.1
execute significantly slower than XDR.
11. " The message “£100 is about !150” could
become
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-
15
MIME-Version: 1.0
=A3100 is about =A4150
14. Reduces the number of bits contained in
the information.
Sometimes programs need to send more
data in a timely fashion than the bandwidth
of the network supports.
Need to compress the data at the sender
and decompress it at the receiver.
15. In terms of storage, the capacity of a
storage device can be effectively increased
with methods that compresses a body of
data.
The bandwidth of a digital communication
link can be effectively increased by
compressing data at the sending end and
decompressing data at the receiving end.
16. Lossless Compression – data is
compressed and can be uncompressed
without loss of information. These are
referred to as bit-preserving or reversible
compression systems.
Lossy Compression – aim to obtain the
best possible fidelity for a given bit-rate or
minimizing the bit-rate to achieve a given
fidelity measure. Most suited to video and
audio compression techniques
17. Lossless
- Image quality is not reduced.
Use in: artificial images that contain sharp-
edged lines such as technical drawings,
textual graphics, comics, maps or logos.
18. Lossy
- reduces image quality. Cannot get the
original image back & lose some
information.
Use in: natural images such as photos of
landscapes
19. Lossless - allows one to preserve an exact
copy of one's audio files
Usage: For archival purposes, editing,
audio quality.
20. Lossy - irreversible changes , achieves far
greater compression, use psychoacoustics
to recognize that not all data in an audio
stream can be perceived by the human
auditory system.
Usage: distribution of streaming audio, or
interactive applications
21. • Start by encoding the first frame using a
still image compression method.
• It should then encode each successive
frame by identifying the differences
between the frame and its predecessor,
and encoding these differences. If the
frame is very different from its
predecessor it should be coded
independently of any other frame.
22. In the video compression literature, a
frame that is coded using its predecessor
is called inter frame (or just inter), while a
frame that is coded independently is called
intra frame (or just intra).
23.
24. • To carry sensitive information, a system
must be able to assure privacy.
• One way to safeguard data from attacks
is encrypting the data.
25. • Encryption – sender transform original
information (plaintext) to another form
(ciphertext) by a function that is
parameterized by a key.
• Decryption – reverses the original
process to transform the message
(ciphertext) back to its original form
(plaintext).
28. Asymmetric Keys -2 keys are needed
(public key and private key); 1 key to
encrypt, another key to decrypt and vice
versa.
29. Protection Description
Confidentiality Allow only authorized users to access
information.
Authentication Verify who the sender was and trust
the sender is who they claim to be.
Integrity Trust the information has not been
altered
No repudiation Ensure that the sender or receiver
cannot deny that a message was sent
or received.
Access Control Restrict availability to information.