Demo Data from EDBT 2026 / reviewers in the wild / expert
John B. Kam
dblp:63/1695
· DBLP profile ↗
8ranked-venue papers
4as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 2Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorTheory of computation · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Cryptographic primitives and cryptanalysis · 66% Systems and software security · 29% Privacy and data protection · 5% | |
| Databases, data mining, and information retrieval
3 papers |
Database system architecture and tuning · 52% Distributed and cloud data management · 48% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 50% Approximation and online algorithms · 50% | |
| Software engineering, system software, and programming languages
2 papers |
Program analysis · 55% Compilers and program optimization · 45% |
Topics — the 15 heaviest of 15, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management › data placement
file allocation |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Approximation and online algorithms
approximation algorithms |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Mathematical optimization
combinatorial optimization |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Systems and software security › database security
database encryption |
0.0 | 1 | 1981 | A Database Encryption System with Subkeys · ACM Trans. Database Syst. 1981 |
Cryptographic primitives and cryptanalysis
block cipher |
0.0 | 1 | 1979 | Structured Design of Substitution-Permutation Encryption Networks · IEEE Trans. Computers 1979 |
Cryptographic primitives and cryptanalysis › symmetric cryptography
cipher design |
0.0 | 1 | 1979 | Structured Design of Substitution-Permutation Encryption Networks · IEEE Trans. Computers 1979 |
Cryptographic primitives and cryptanalysis › block cipher
substitution-permutation network |
0.0 | 1 | 1979 | Structured Design of Substitution-Permutation Encryption Networks · IEEE Trans. Computers 1979 |
Program analysis
data flow analysis |
0.0 | 2 | 1976 | Global Data Flow Analysis and Iterative Algorithms · J. ACM 1976 Application of Lattice Algebra to Loop Optimization · POPL 1975 |
Database system architecture and tuning › database security
inference control |
0.0 | 1 | 1977 | A Model of Statistical Databases and Their Security · ACM Trans. Database Syst. 1977 |
Database system architecture and tuning › analytical database system
statistical database |
0.0 | 1 | 1977 | A Model of Statistical Databases and Their Security · ACM Trans. Database Syst. 1977 |
Compilers and program optimization
compiler optimization |
0.0 | 1 | 1976 | Global Data Flow Analysis and Iterative Algorithms · J. ACM 1976 |
Program analysis › data flow analysis
iterative data flow analysis |
0.0 | 1 | 1976 | Global Data Flow Analysis and Iterative Algorithms · J. ACM 1976 |
Compilers and program optimization
loop optimization |
0.0 | 1 | 1975 | Application of Lattice Algebra to Loop Optimization · POPL 1975 |
Database system architecture and tuning › database security
encrypted database |
0.0 | 1 | 1981 | A Database Encryption System with Subkeys · ACM Trans. Database Syst. 1981 |
Privacy and data protection
statistical database privacy |
0.0 | 1 | 1977 | A Model of Statistical Databases and Their Security · ACM Trans. Database Syst. 1977 |
Methods — techniques the papers use, named apart from their topics
approximation algorithm · 0.0chinese remainder theorem · 0.0statistical inference · 0.0lattice theory · 0.0lattice algebra · 0.0depth-first ordering · 0.0completeness analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | An Approximation Algorithm to the File Allocation Problem in Computer NetworksabstractArticle An approximation algorithm to the file allocation problem in computer networks Share on Authors: Kowtha Murthy Paramus, New Jersey Paramus, New JerseyView Profile , John Kam Wang Research Laboratories, Waltham, Massachusetts Wang Research Laboratories, Waltham, MassachusettsView Profile , M. S. Krishnamoorthy Rensselaer Polytechnic Institute, Troy, New York Rensselaer Polytechnic Institute, Troy, New YorkView Profile Authors Info & Claims PODS '83: Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systemsMarch 1983 Pages 258–266https://doi.org/10.1145/588058.588087Online:21 March 1983Publication History 10citation274DownloadsMetricsTotal Citations10Total Downloads274Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access Kowtha Murthy, John B. Kam, M. S. Krishnamoorthy |
PODS | 2 |
| 1981 | A Database Encryption System with SubkeysabstractA new cryptosystem that is suitable for database encryption is presented. The system has the important property of having subkeys that allow the encryption and decryption of fields within a record. The system is based on the Chinese Remainder Theorem. George I. Davida, David L. Wells, John B. Kam |
ACM Trans. Database Syst. | 3 |
| 1979 | Structured Design of Substitution-Permutation Encryption NetworksabstractIn attempting to solve the problems of data security, researchers, and practititioners are placing increasing emphasis on encryption. An important class of encryption schemes is that of substitution-permutation (SP) encryption networks. A variant of the SP network has been chosen by the National Bureau of Standards as the data encryption standard. In this paper, we introduce the concept of completeness, which captures the intuitive notion of complexity of SP networks. The completeness property is examined and a technique for designigning complete SP networks is demonstrated. John B. Kam, George I. Davida |
IEEE Trans. Computers | 1 |
| 1978 | Security and PrivacyabstractThe related fields of privacy and security are examined. Privacy issues are discussed and topics in the security fields of cryptography, database inference and operating systems are re viewed. George I. Davida, David L. Wells, John B. Kam |
COMPSAC | 3 |
| 1977 | Monotone Data Flow Analysis Frameworks
John B. Kam, Jeffrey D. Ullman |
Acta Informatica | 1 |
| 1977 | A Model of Statistical Databases and Their SecurityabstractConsidered here, for a particular model of databases in which only information about relatively large sets of records can be obtained, is the question of whether one can from statistical information obtain information about individuals. Under the assumption that the data in the database is taken from arbitrary integers, it is shown that essentially nothing can be inferred. It is also shown that when the values are known to be imprecise in some fixed range, one can often deduce the values of individual records. John B. Kam, Jeffrey D. Ullman |
ACM Trans. Database Syst. | 1 |
| 1976 | Global Data Flow Analysis and Iterative AlgorithmsabstractKildall has developed data propagation algorithms for code optimization in a general lattice theoretic framework. In another direction, Hecht and Ullman gave a strong upper bound on the number of iterations required for propagation algorithms when the data is represented by bit vectors and depth-first ordering of the flow graph is used. The present paper combines the ideas of these two papers by considering conditions under which the bound of Hecht and Ullman applies to the depth-first version of Kildall's general data propagation algorithm. It is shown that the following condition is necessary and sufficient: Let ƒ and g be any two functions which could be associated with blocks of a flow graph, let x be an arbitrary lattice element, and let 0 be the lattice zero. Then (*) (∀ƒ ,g,x ) [ƒ g (0) ≥ g (0) ∧ ƒ( x ) ∧ x ]. Then it is shown that several of the particular instances of the techniques Kildall found useful do not meet condition (*). John B. Kam, Jeffrey D. Ullman |
J. ACM | 1 |
| 1975 | Application of Lattice Algebra to Loop OptimizationabstractArticle Free Access Share on Application of lattice algebra to loop optimization Authors: Amelia Fong Princeton University, Princeton N. J. Princeton University, Princeton N. J.View Profile , John Kam Princeton University, Princeton N. J. Princeton University, Princeton N. J.View Profile , Jeffrey Ullman Princeton University, Princeton N. J. Princeton University, Princeton N. J.View Profile Authors Info & Claims POPL '75: Proceedings of the 2nd ACM SIGACT-SIGPLAN symposium on Principles of programming languagesJanuary 1975 Pages 1–9https://doi.org/10.1145/512976.512977Online:01 January 1975Publication History 13citation241DownloadsMetricsTotal Citations13Total Downloads241Last 12 Months8Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Amelia C. Fong, John B. Kam, Jeffrey D. Ullman |
POPL | 2 |