The Science of Encryption: Prime Numbers and Mod N Arithmetic 1. A
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LNCS 7215, Pp
ACoreCalculusforProvenance Umut A. Acar1,AmalAhmed2,JamesCheney3,andRolyPerera1 1 Max Planck Institute for Software Systems umut,rolyp @mpi-sws.org { 2 Indiana} University [email protected] 3 University of Edinburgh [email protected] Abstract. Provenance is an increasing concern due to the revolution in sharing and processing scientific data on the Web and in other computer systems. It is proposed that many computer systems will need to become provenance-aware in order to provide satisfactory accountability, reproducibility,andtrustforscien- tific or other high-value data. To date, there is not a consensus concerning ap- propriate formal models or security properties for provenance. In previous work, we introduced a formal framework for provenance security and proposed formal definitions of properties called disclosure and obfuscation. This paper develops a core calculus for provenance in programming languages. Whereas previous models of provenance have focused on special-purpose languages such as workflows and database queries, we consider a higher-order, functional language with sums, products, and recursive types and functions. We explore the ramifications of using traces based on operational derivations for the purpose of comparing other forms of provenance. We design a rich class of prove- nance views over traces. Finally, we prove relationships among provenance views and develop some solutions to the disclosure and obfuscation problems. 1Introduction Provenance, or meta-information about the origin, history, or derivation of an object, is now recognized as a central challenge in establishing trust and providing security in computer systems, particularly on the Web. Essentially, provenance management in- volves instrumenting a system with detailed monitoring or logging of auditable records that help explain how results depend on inputs or other (sometimes untrustworthy) sources. -
Public Key Cryptography And
PublicPublic KeyKey CryptographyCryptography andand RSARSA Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 [email protected] Audio/Video recordings of this lecture are available at: http://www.cse.wustl.edu/~jain/cse571-11/ Washington University in St. Louis CSE571S ©2011 Raj Jain 9-1 OverviewOverview 1. Public Key Encryption 2. Symmetric vs. Public-Key 3. RSA Public Key Encryption 4. RSA Key Construction 5. Optimizing Private Key Operations 6. RSA Security These slides are based partly on Lawrie Brown’s slides supplied with William Stallings’s book “Cryptography and Network Security: Principles and Practice,” 5th Ed, 2011. Washington University in St. Louis CSE571S ©2011 Raj Jain 9-2 PublicPublic KeyKey EncryptionEncryption Invented in 1975 by Diffie and Hellman at Stanford Encrypted_Message = Encrypt(Key1, Message) Message = Decrypt(Key2, Encrypted_Message) Key1 Key2 Text Ciphertext Text Keys are interchangeable: Key2 Key1 Text Ciphertext Text One key is made public while the other is kept private Sender knows only public key of the receiver Asymmetric Washington University in St. Louis CSE571S ©2011 Raj Jain 9-3 PublicPublic KeyKey EncryptionEncryption ExampleExample Rivest, Shamir, and Adleman at MIT RSA: Encrypted_Message = m3 mod 187 Message = Encrypted_Message107 mod 187 Key1 = <3,187>, Key2 = <107,187> Message = 5 Encrypted Message = 53 = 125 Message = 125107 mod 187 = 5 = 125(64+32+8+2+1) mod 187 = {(12564 mod 187)(12532 mod 187)... (1252 mod 187)(125 mod 187)} mod 187 Washington University in -
The Order of Encryption and Authentication for Protecting Communications (Or: How Secure Is SSL?)?
The Order of Encryption and Authentication for Protecting Communications (Or: How Secure is SSL?)? Hugo Krawczyk?? Abstract. We study the question of how to generically compose sym- metric encryption and authentication when building \secure channels" for the protection of communications over insecure networks. We show that any secure channels protocol designed to work with any combina- tion of secure encryption (against chosen plaintext attacks) and secure MAC must use the encrypt-then-authenticate method. We demonstrate this by showing that the other common methods of composing encryp- tion and authentication, including the authenticate-then-encrypt method used in SSL, are not generically secure. We show an example of an en- cryption function that provides (Shannon's) perfect secrecy but when combined with any MAC function under the authenticate-then-encrypt method yields a totally insecure protocol (for example, ¯nding passwords or credit card numbers transmitted under the protection of such protocol becomes an easy task for an active attacker). The same applies to the encrypt-and-authenticate method used in SSH. On the positive side we show that the authenticate-then-encrypt method is secure if the encryption method in use is either CBC mode (with an underlying secure block cipher) or a stream cipher (that xor the data with a random or pseudorandom pad). Thus, while we show the generic security of SSL to be broken, the current practical implementations of the protocol that use the above modes of encryption are safe. 1 Introduction The most widespread application of cryptography in the Internet these days is for implementing a secure channel between two end points and then exchanging information over that channel. -
Sabermetrics: the Past, the Present, and the Future
Sabermetrics: The Past, the Present, and the Future Jim Albert February 12, 2010 Abstract This article provides an overview of sabermetrics, the science of learn- ing about baseball through objective evidence. Statistics and baseball have always had a strong kinship, as many famous players are known by their famous statistical accomplishments such as Joe Dimaggio’s 56-game hitting streak and Ted Williams’ .406 batting average in the 1941 baseball season. We give an overview of how one measures performance in batting, pitching, and fielding. In baseball, the traditional measures are batting av- erage, slugging percentage, and on-base percentage, but modern measures such as OPS (on-base percentage plus slugging percentage) are better in predicting the number of runs a team will score in a game. Pitching is a harder aspect of performance to measure, since traditional measures such as winning percentage and earned run average are confounded by the abilities of the pitcher teammates. Modern measures of pitching such as DIPS (defense independent pitching statistics) are helpful in isolating the contributions of a pitcher that do not involve his teammates. It is also challenging to measure the quality of a player’s fielding ability, since the standard measure of fielding, the fielding percentage, is not helpful in understanding the range of a player in moving towards a batted ball. New measures of fielding have been developed that are useful in measuring a player’s fielding range. Major League Baseball is measuring the game in new ways, and sabermetrics is using this new data to find better mea- sures of player performance. -
Online Payment Fraud Prevention Using Cryptographic Algorithm TDES
S. Aishwarya et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 317-323 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 4, Issue. 4, April 2015, pg.317 – 323 RESEARCH ARTICLE Online Payment Fraud Prevention Using Cryptographic Algorithm TDES S. AISHWARYA1 K.DEVIKA RANI DHIVYA*2 III MSc (SS), Assistant Professor, Department of CA & SS, Department of CA & SS, Sri Krishna Arts and Science College, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, Coimbatore, Tamil Nadu, India India ABSTRACT: Credit card is a small plastic card issued by a bank, building society, etc., allowing the holder to purchase goods or services on credit. Debit card is a card allowing the holder to transfer money electronically from their bank account when making a purchase. The use of credit cards and debit cards are increasing day by day. People are relying more on both cards nowadays than in the previous days. As credit cards and debit cards becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. In real life, fraudulent transactions are scattered with genuine transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. In this project the process of Cryptography has been followed, it is one of the most important security technologies which used to secure the data transmission and the data itself. -
Ch 13 Digital Signature
1 CH 13 DIGITAL SIGNATURE Cryptography and Network Security HanJung Mason Yun 2 Index 13.1 Digital Signatures 13.2 Elgamal Digital Signature Scheme 13.3 Schnorr Digital Signature Scheme 13.4 NIST Digital Signature Algorithm 13.6 RSA-PSS Digital Signature Algorithm 3 13.1 Digital Signature - Properties • It must verify the author and the date and time of the signature. • It must authenticate the contents at the time of the signature. • It must be verifiable by third parties, to resolve disputes. • The digital signature function includes authentication. 4 5 6 Attacks and Forgeries • Key-Only attack • Known message attack • Generic chosen message attack • Directed chosen message attack • Adaptive chosen message attack 7 Attacks and Forgeries • Total break • Universal forgery • Selective forgery • Existential forgery 8 Digital Signature Requirements • It must be a bit pattern that depends on the message. • It must use some information unique to the sender to prevent both forgery and denial. • It must be relatively easy to produce the digital signature. • It must be relatively easy to recognize and verify the digital signature. • It must be computationally infeasible to forge a digital signature, either by constructing a new message for an existing digital signature or by constructing a fraudulent digital signature for a given message. • It must be practical to retain a copy of the digital signature in storage. 9 Direct Digital Signature • Digital signature scheme that involves only the communication parties. • It must authenticate the contents at the time of the signature. • It must be verifiable by third parties, to resolve disputes. • Thus, the digital signature function includes the authentication function. -
Ransomware Is Here: What You Can Do About It?
WHITEPAPER Ransomware is Here: What you can do about it? Overview Over the last few years, ransomware has emerged as one of the most devastating and costly attacks in the hacker arsenal. Cyber thieves are increasingly using this form of attack to target individuals, corporate entities and public sector organizations alike by holding your system or files for ransom. Unlike other forms of cyber theft that often involve stolen financial or healthcare information, ransomware cuts out the middleman. In cases where an attacker steals health or financial documents, they must sell them on to third parties to make money. As far as ransomware is concerned, the money comes directly from the victim. Ransomware is a quickly growing threat vector. According to the FBI’s Internet Crime Complaint center (IC3), infected users made complaints about ransomware 2,453 times in 2015—nearly double the figure for 2014. What’s more, these figures most likely represent only the tip of the iceberg, as many users pay their ransom without making a report to the authorities. A recent survey conducted by a Cyber Security Research Center at the University of Kent found that over 40% of those infected with CryptoLocker actually agreed to pay the ransom demanded, which is a big incentive for hackers to target more systems. Lastly, hackers are rapidly iterating both malware and distribution techniques. In early Q2 of 2016, a new variant of ransomware, known as CryptXXX, emerged on the scene. This program is packed in such a way that users and antivirus software may initially confuse it for a Windows DLL file. -
Implementation and Performance Evaluation of XTR Over Wireless Network
Implementation and Performance Evaluation of XTR over Wireless Network By Basem Shihada [email protected] Dept. of Computer Science 200 University Avenue West Waterloo, Ontario, Canada (519) 888-4567 ext. 6238 CS 887 Final Project 19th of April 2002 Implementation and Performance Evaluation of XTR over Wireless Network 1. Abstract Wireless systems require reliable data transmission, large bandwidth and maximum data security. Most current implementations of wireless security algorithms perform lots of operations on the wireless device. This result in a large number of computation overhead, thus reducing the device performance. Furthermore, many current implementations do not provide a fast level of security measures such as client authentication, authorization, data validation and data encryption. XTR is an abbreviation of Efficient and Compact Subgroup Trace Representation (ECSTR). Developed by Arjen Lenstra & Eric Verheul and considered a new public key cryptographic security system that merges high level of security GF(p6) with less number of computation GF(p2). The claim here is that XTR has less communication requirements, and significant computation advantages, which indicate that XTR is suitable for the small computing devices such as, wireless devices, wireless internet, and general wireless applications. The hoping result is a more flexible and powerful secure wireless network that can be easily used for application deployment. This project presents an implementation and performance evaluation to XTR public key cryptographic system over wireless network. The goal of this project is to develop an efficient and portable secure wireless network, which perform a variety of wireless applications in a secure manner. The project literately surveys XTR mathematical and theoretical background as well as system implementation and deployment over wireless network. -
Key Improvements to XTR
To appear in Advances in Cryptology|Asiacrypt 2000, Lecture Notes in Computer Science 1976, Springer-Verlag 2000, 220-223. Key improvements to XTR Arjen K. Lenstra1, Eric R. Verheul2 1 Citibank, N.A., Technical University Eindhoven, 1 North Gate Road, Mendham, NJ 07945-3104, U.S.A., [email protected] 2 PricewaterhouseCoopers, GRMS Crypto Group, Goudsbloemstraat 14, 5644 KE Eindhoven, The Netherlands, Eric.Verheul@[nl.pwcglobal.com, pobox.com] Abstract. This paper describes improved methods for XTR key rep- resentation and parameter generation (cf. [4]). If the ¯eld characteristic is properly chosen, the size of the XTR public key for signature appli- cations can be reduced by a factor of three at the cost of a small one time computation for the recipient of the key. Furthermore, the para- meter set-up for an XTR system can be simpli¯ed because the trace of a proper subgroup generator can, with very high probability, be com- puted directly, thus avoiding the probabilistic approach from [4]. These non-trivial extensions further enhance the practical potential of XTR. 1 Introduction In [1] it was shown that conjugates of elements of a subgroup of GF(p6)¤ of order 2 dividing Á6(p) = p ¡ p + 1 can be represented using 2 log2(p) bits, as opposed to the 6 log2(p) bits that would be required for their traditional representation. In [4] an improved version of the method from [1] was introduced that achieves the same communication advantage at a much lower computational cost. The resulting representation method is referred to as XTR, which stands for E±cient and Compact Subgroup Trace Representation. -
Security, Encryption, and Certificates FAQ
Security, Encryption, and Certificates FAQ Overview In Security Center 5.4, several new capabilities will be added that further strengthen the security of the platform itself, as well as the privacy of data. The aim is to prevent unauthorized access to stored and transmitted messages and data, as well as prevent attacks through the use of stronger encryption and authentication mechanisms. With growing demand for privacy, new capabilities in Security Center 5.4 will strengthen Genetec’s position and overall value proposition. This FAQ addresses some of the most common questions in relation to the new capabilities of Security Center: Encryption, Authentication, and Digital Certificates. These concepts are first described in generic terms; the FAQ then outlines how these new measures are used within Security Center 5.4. Encryption vs. Authentication vs. Authorization What is the difference between encryption, authentication, and authorization? Encryption is used to encrypt data so that only authorized users can see it. Authentication determines whether an entity is who they claim to be, eg. in the case of an individual, it is usually based on a username/password combination. Authentication does not actually say anything about what someone is authorized to do or has the right to do. o Client-side authentication uses username/password combinations, tokens (dual authentication), and other techniques. o Server-side authentication uses certificates to identify trusted third parties. Authorization is the function of specifying the rights, eg. defining the access rights someone has over a set of recourses such as a private data, computing resources, or an application. When users log into a Security Center system, what they are allowed or authorized to do depends on the set of privileges assigned to them by administrators. -
Efficient Encryption on Limited Devices
Rochester Institute of Technology RIT Scholar Works Theses 2006 Efficient encryption on limited devices Roderic Campbell Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Campbell, Roderic, "Efficient encryption on limited devices" (2006). Thesis. Rochester Institute of Technology. Accessed from This Master's Project is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Masters Project Proposal: Efficient Encryption on Limited Devices Roderic Campbell Department of Computer Science Rochester Institute of Technology Rochester, NY, USA [email protected] June 24, 2004 ________________________________________ Chair: Prof. Alan Kaminsky Date ________________________________________ Reader: Prof. Hans-Peter Bischof Date ________________________________________ Observer: Prof. Leonid Reznik Date 1 1 Summary As the capstone of my Master’s education, I intend to perform a comparison of Elliptic Curve Cryptography(ECC) and The XTR Public Key System to the well known RSA encryption algorithm. The purpose of such a project is to provide a further understanding of such types of encryption, as well as present an analysis and recommendation for the appropriate technique for given circumstances. This comparison will be done by developing a series of tests on which to run identical tasks using each of the previously mentioned algorithms. Metrics such as running time, maximum and average memory usage will be measured as applicable. There are four main goals of Crypto-systems: Confidentiality, Data Integrity, Authentication and Non-repudiation[5]. This implementation deals only with confidentiality of symmetric key exchange. -
Girls' Elite 2 0 2 0 - 2 1 S E a S O N by the Numbers
GIRLS' ELITE 2 0 2 0 - 2 1 S E A S O N BY THE NUMBERS COMPARING NORMAL SEASON TO 2020-21 NORMAL 2020-21 SEASON SEASON SEASON LENGTH SEASON LENGTH 6.5 Months; Dec - Jun 6.5 Months, Split Season The 2020-21 Season will be split into two segments running from mid-September through mid-February, taking a break for the IHSA season, and then returning May through mid- June. The season length is virtually the exact same amount of time as previous years. TRAINING PROGRAM TRAINING PROGRAM 25 Weeks; 157 Hours 25 Weeks; 156 Hours The training hours for the 2020-21 season are nearly exact to last season's plan. The training hours do not include 16 additional in-house scrimmage hours on the weekends Sep-Dec. Courtney DeBolt-Slinko returns as our Technical Director. 4 new courts this season. STRENGTH PROGRAM STRENGTH PROGRAM 3 Days/Week; 72 Hours 3 Days/Week; 76 Hours Similar to the Training Time, the 2020-21 schedule will actually allow for a 4 additional hours at Oak Strength in our Sparta Science Strength & Conditioning program. These hours are in addition to the volleyball-specific Training Time. Oak Strength is expanding by 8,800 sq. ft. RECRUITING SUPPORT RECRUITING SUPPORT Full Season Enhanced Full Season In response to the recruiting challenges created by the pandemic, we are ADDING livestreaming/recording of scrimmages and scheduled in-person visits from Lauren, Mikaela or Peter. This is in addition to our normal support services throughout the season. TOURNAMENT DATES TOURNAMENT DATES 24-28 Dates; 10-12 Events TBD Dates; TBD Events We are preparing for 15 Dates/6 Events Dec-Feb.