Download Security Issues for New Clients?

Research Efforts in Computer Science &
Engineering at UConn
Prof. Steven Demurjian, Prof. Reda Ammar,
Prof. Robert McCartney, Prof. Thomas Peters,
Prof. Eugene Santos, Prof. Dong-Guk Shin,
Prof. Alex Shvartsman, Prof. Alex Thomasian,
and Prof. T.C. Ting
Computer Science & Engineering Department
The University of Connecticut
191 Auditorium Road, Box U-155
Storrs, CT 06269-3155
[email protected]
http://www.engr.uconn.edu/~steve
http://www.engr.uconn.edu/cse
(860) 486 - 4818
CSE.RO-1.1
Overview of Presentation

Software Architectures and Distributed Computing
 Enterprise Computing and Interoperability
(Demurjian)
 Security Issues for Enterprise Computing
(Demurjian)
 Optimal Deployment of Distributed Objects
(Demurjian/Shvartsman)
 Reusable Component Framework (Demurjian)
 Risks and Benefits of Java (Demurjian/Shin)
 Frameworks for Scalable Distributed
Applications (Shvartsman)
 Semantically Consistent Software Architecture
(Peters)
CSE.RO-1.2
Overview of Presentation
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Databases, Data Mining, and User Interfaces
 Interoperability of Heterogeneous Databases
(Shin)
 Performance of Database and Software
Applications (Thomasian)
 Data Mining and Intelligent User
Interfaces/Tutoring Systems (Santos)
Joint: Intelligent Distributed Component Appls.
Frameworks (Shvartsman, Demurjian, Santos)
Networking and Performance
 Scalable Communications for Multiple Agents
(McCartney)
 Multi-Layered Network Performance Analyses
(Ammar)
CSE.RO-1.3
Enterprise Computing
and Interoperability (Demurjian)
COTS
Database
How do Systems and
Applications Interact?
Legacy
Legacy
COTS
What are Performance
Constraints?
What Platforms Must Interact?
NETWORK
Java
Client
Java
Client
How are New Clients Added?
New Servers Added?
Legacy
Database
What is the Role of
JDBC, ODBC, CORBA?
COTS
CSE.RO-1.4
Enterprise Computing
and Interoperability (Demurjian)

What are Keys Issues that Influence and Guide the
Integration Process for Enterprise Computing?
 Software Reuse in a Distributed Computing
Environment
 Reuse Existing Legacy/COTS in Innovative Ways
 Not Cost Effective to Redesign/Reimplement
 EC Users will Demand Modern Interfaces on Upto-Date Platforms

Wrappers for Cohesive/Seamless Interactions
 Apply to Languages (C, C++, Ada, etc.) and
Paradigms (OODBS, CORBA, RPC)
 Address Communication, Translation, Security,
Concurrency, Performance, Bandwidth, etc.
CSE.RO-1.5
Enterprise Computing
and Interoperability (Demurjian)

What are Keys Issues that Influence and Guide the
Integration Process for Enterprise Computing?
 Communications Alternatives Dictated by
Application Domain
 Tradeoffs of Low-Level (Sockets) vs. Mid-Level
(RCP, RMI) vs. High-Level (CORBA, DCOM, …)
 Will Enterprise Computing Utilize Combination?

Consistency of Information in Distributed
Computing Environment
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When is Data Sent from Client to Legacy Server?
Automatic (Regular) vs. User-Initiated?
When Network Traffic is Low?
Enterprise Computing Spans Broad Spectrum
CSE.RO-1.6
Enterprise Computing
and Interoperability (Demurjian)
Java Wrapper
OBJECT REQUEST BROKER
COMMUNICATION
Java Communication
Classes/Instances
Java Design Classes/Instances
Java Communication
Classes/Instances
COMMUNICATION
GUI
Classes
and
Instances
Java Design Classes/Instances
Java Client
Translation
Java to C++
C++
Legacy
Code
CSE.RO-1.7
Security Issues for Enterprise Computing
(Demurjian/Ting)
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Public Interface is Union of All Privileges for All
Potential Users No Explicit way to Prohibit Access
Customizable Public Interface of Class
Access to Public Interface is Variable and Based
on User Needs and Responsibilities
Only Give Exactly What’s Needed and No More
public class PatientRecord
{ private: Data/Methods as Needed;
public:
write_medical_history();
write_prescription();
For MDs
get_medical_history();
and Nurses
get_diagnosis();
set_payment_mode();
etc…
}
For MDs Only
For Admitting
CSE.RO-1.8
Security Issues for Enterprise Computing
(Demurjian/Ting)
How is Security Handled
for Individual Systems?
COTS
Database
Legacy
What if Security Never Available
for Legacy/COTS/Database?
Legacy
Security Issues for New Clients?
New Servers? Across Network?
Can Software Agents be Utilized
for Distributed Security?
COTS
NETWORK
Java
Client
Java
Client
Legacy
Authentication
Database
Is the Client who S/he Says they are?
COTS
Authorization
Does the Client have Permission to do what S/he Wants?
Privacy
Is Anyone Intercepting Client/Server Communications?
CSE.RO-1.9
Optimal Deployment of Distributed
Objects (Demurjian/Shvartsman)
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Problem: Deployment of Distributed Software
 New Distributed Application
 Redeploying Existing Distributed Application
 Distributing Standalone Legacy Application
How are Locations of Software Components
Determined for Target Distributed Environment?
What Determines Which Component is Placed on
Which Node?
 Component Interactions?
 Component Size?
 Local/Remote Communication?
CSE.RO-1.10
Optimal Deployment of Distributed
Objects (Demurjian/Shvartsman)

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Current Status
 Distribution of Object-Oriented Software
 Focus on Object Interactions via Method
Invocations
 Binary Integer Programming Model
 Optimal Deployment Based on Communication
 Tested on “Toy” OO Applications
 Seeking a “Realistic” OO Application
Ongoing Ph. D. work by C. Bastarrica
CSE.RO-1.11
Risks and Benefits of Software
Engineering with Java (Demurjian/Shin)
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Potential Risks
 Standardization and Microsoft
 Security Flaws and Java - A Constant Concern
 Performance - Will V1.2 Solve Problems?
 Portability - Platform In(De)pendence
Significant Benefits
 Programming Language Interactions Cross Compilation, Byte-Code Generators,
Translators
 Client/Server and DOC - CORBA, ORBs, JNI,
Legacy/COTS
 Database/Persistence - Interactions with
Relational/OO DBS, JDBC
CSE.RO-1.12
Risks and Benefits of Software
Engineering with Java (Demurjian/Shin)
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Java Continues to Evolve
Acceptance and Retraining
 What Capabilities of Java Provide the
Strongest Case for the Technology?
 What Must Software Professionals Understand
to Successfully Utilize Java?
 How Quickly Can Software Professionals
Learn Java?
Leveraging for Future
 What are the Long-Term Benefits of Java?
 Can Java Interact with PLs, Legacy, COTS?
Work Conducted for Mitre Corporation
CSE.RO-1.13
Reusable Component Framework
(Demurjian)
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Popular OO Methodologies Omit /Ignore Reuse
Current Research Concentrates on Consumer
(Reuser) and Not Producer (Creator)
Two-Fold Goal
 Elevate Reuse to Equal Partner
 Domain-and-Organization Specific Reuse
Capabilities of Evaluation Techniques
 Identify the Reusable Portions of Design
 Estimate/Measure Reusability Automatically
 Provide Guidelines for Reuse Improvement
 For Newly Created Designs and Legacy Code
Design Reuse Evaluation Tool: C++, Ada95, Java
CSE.RO-1.14
Frameworks for Scalable Distributed
Applications (Shvartsman)
Application (API) and User (GUI) Interfaces
Application
Services
Composable Applications
and
Repository
Legacy Interface
Legacy Objects &
Applications
Standards-based Interface
Standard Servers & Objects,
Encapsulated Resources
CSE.RO-1.15
Composable Modules and Properties
(Shvartsman)
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Encapsulate Data, Behavior and Knowledge
Support Multiple Concurrent Activities
Autonomously Operated and Maintained
Potential Components of Many Programs
Program
Repository
Invoke
Respond
Module
Specification (MSL)
Data & Info
DB, HDB, OODB
Concurrency
Distribution
Autonomy
Composability
Copyright © 1994 Alex Allister Shvartsman
CSE.RO-1.16
Semantically Consistent Software
Architecture (Peters)
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Definitions: Consider Large Software Application
 Views: Different User Perspectives
 Slices: Different Developer Perspectives
Example: Appl. from Investment Community
 Sample Views
 Analyst: Means to Assess Market Trends
 Individual Investor: Check Portfolio Performance
 Venture Capitalist: Timing Initial Public Offering

Sample Slices: Capability Oriented
 User Interface, Database, etc.
 Separate, Interacting Components/Subsystems
CSE.RO-1.17
Semantically Consistent Software
Architecture (Peters)
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Today’s and Tomorrow’s “Large” Applications are
Collections of Existing/New Applications that
Operate in Distributed/Heterogeneous Fashion
Key Issue: Semantic Consistency of Data Types
Example: Exchanging Floating Point Data
 Algorithmic Approximations
 Accumulated Numerical Error
What Happens when Decisions (e.g., Buy or Sell
Stock) are Made in Uncertain Environment?
How are Decisions Made when Numerical
Answers are Near Limiting Values?
Exchange and Interoperation of Information in a
Semantically Consistent Fashion
CSE.RO-1.18
Interoperability of Heterogeneous DBs:
Query Clearing House Model (Shin)
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Purpose : An Agent Model that Enables Users to
Access Desired Information from Multiple
Heterogeneous Database Systems.
Characteristics:
 Functions as a Mediator between the End Users
and Databases.
 Supports the Query Construction without
knowing the Details of Database Schemas and
their Locations.
 Supports the Query Expression with more
General Terms rather than the Specific Terms
used in Local Databases.
Active Utilization in Human Genome Project
CSE.RO-1.19
Query Clearing House
Configuration (Shin)
Clearing House
Graphical
User
Interface
.
.
.
.
Query
Object
Query
Object
Graphical
User
Interface
Agent
Query
Interpreter
Query Instance
Generator
Query
Distributor
Meta-Data
Mapping Library
Mapping Library
Database
.
.
.
.
Mapping Library
Agent
Database
CSE.RO-1.20
Performance of Database and Software
Applications (Thomasian)
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Current Areas of Research Interest and Activity
 Performance Analysis and Evaluation
 Distributed Systems
 Databases
Performance
 Analysis of Disk Arrays
 Evaluation
 Computer and Communication Systems
 Software Applications

Database and Transaction Processing Systems
CSE.RO-1.21
Performance of Database and Software
Applications (Thomasian)
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Distributed Systems
 Capacity Planning for Client/Server and
Mainframe Systems
 Concurrency Control, Data Allocation, Load
Balancing, and Transaction Routing
Databases
 High-Dimensional Indexing and Data
Compression for Image Databases
 Analysis and Synthesis of Concurrency Control
Methods
CSE.RO-1.22
Data Mining and Intelligent User
Interfaces/Tutoring Systems (Santos)

Knowledge and Data/Database Mining
 Extract Knowledge
 Electronic, Non-Human Source of Data
Identify/Provide Relevant Knowledge
 Can Intelligence be Automagically Injected?
 Crosses AI/DBs; AFOSR
Intelligent User Interfaces
 Determining the Right Information
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 Present at Right Time in the Right Format
 Customized to Individual - Considers User Needs
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Enable Tool Most Suited to Needs
Crosses AI/SWE; AFOSR, DARPA, NSF
CSE.RO-1.23
Data Mining and Intelligent User
Interfaces/Tutoring Systems (Santos)

Intelligent Tutoring Systems
 Problem
 Significant Amounts of Knowledge on Different
Subjects are now Available
 Requires Processing (Reading/Learning) by
Humans

Need
 Direction/Assistance to Learn Material Faster
 Computer to Teach the Material
 Guidance Based on Individual Needs/Preferences

AI; Phillips Laboratory
CSE.RO-1.24
Intelligent Distributed Component Appls.
Frameworks (Shvartsman, Demurjian, Santos)
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Challenges to Design/Develop Dependable,
Interoperable, Portable Distributed Applications:
 Competing Technologies (Java, CORBA,
DCOM, RPC)
 Distributed Middleware with Different Models
of Objects and Services
 Middleware Lacking Capabilities, e.g., Group
Services, Intelligent Broadcast, etc.
Dependable Distributed Components Systems
 Interoperable, Composable, Portable, Secure
 Multi-Target, Correct, Scalable, Efficient
Propose: Framework for Specifying Intelligent
Distributed Component Applications
CSE.RO-1.25
Intelligent Distributed Component Appls.
Frameworks (Shvartsman, Demurjian, Santos)
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Intelligent
Agent
Applications
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General
Object
Services
Distributed
Application
Framework
Distributed
Building
Blocks
Distributed Computing Platform
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All Three “Boxes” are
Major Research Topics
Currently Investigating
Each Topic in Isolation
Cooperative Work
Underway
AFOSR 3 Yr Funding
 Santos Perspective
 UConn, WSU,
AFIT
 Multi-Disciplinary
SBIR Proposal
 Shvartsman/Demur
jian
 InfoPike, Inc.
CSE.RO-1.26
Scalable Communications for Multiple
Agents (McCartney)
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Cooperating Groups of Mobile Robots
Mobile Nodes in a Network
Networks with Intermittent Connectivity
Heterogeneous Mix of Mobile and Stationary
Nodes
Variable Communications Rates and Methods
Dynamic Network Topology
Highly Variable Network Traffic
CSE.RO-1.27
Goals for a Communications System
(McCartney)
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Responsive
Secure
Reliable
Reconfigurable
 Changing Roles
 Changing Hierarchical Structure
 Changing Group Memberships
Adaptable
 Nodes Enter and Leave Network
 Topology Changes
Transparent
Uniform Interfaces Across Roles
CSE.RO-1.28
Multi-Layered Network Performance
Analyses (Ammar)
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COLUMBO: Real-Time Network Security
System
 Continuous Lookout for Unauthorized and
Menacing Breakin Operations
 Model User Behavior
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User Profiles Based on Past Data
User Differences - Current Input vs. Stored Models
Dynamic Authentication to Detect Intruders
Recoverable to Earlier State in Failure
Utilize Probabilistic Finite State Automata
Augmented with Probability Density Functions
and Time Measures
CSE.RO-1.29
Multi-Layered Network Performance
Analyses (Ammar)
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Performance Oriented Software Engineering
 Targeted for Software Applications that
Require
 Advanced Sequential and Parallel Architectures
 High-Speed Networks
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Utilizes Methods of Performance Prediction
Designer Given Estimates Based on Algorithm,
Implementation, Architecture
Integrated Environment and Methodology
 Computer Aided Performance Engineering Tools
 Support Modeling and Evaluation Techniques

DARPA
CSE.RO-1.30
Concluding Remarks and Discussion
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CSE Faculty Interested in Industrial Interactions
 Engineering MS Program
 Undergraduate Semester Projects
 Storrs Senior Design Projects
Graduate Student Research Assistantships
 Cooperative Research Funding
 Faculty Presentations and Seminars
 Industry Presentations (CSE Courses)
 Faculty Consulting (Summers/Sabbaticals)
UConn CSE Web Page:
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www.engr.uconn.edu/cse
CSE.RO-1.31