Designing Insider Threat Programs

Insider Threat No Comments »

By Andrew P. Moore
Lead Researcher
CERT Insider Threat Team 

Andrew P. Moore Insider threat is the threat to organization’s critical assets posed by trusted individuals - including employees, contractors, and business partners - authorized to use the organization’s information technology systems. Insider threat programs within an organization help to manage the risks due to these threats through specific prevention, detection, and response practices and technologies. The National Industrial Security Program Operating Manual (NISPOM), which provides baseline standards for the protection of classified information, is considering proposed changes that would require contractors that engage with federal agencies, which process or access classified information, to establish insider threat programs. The proposed changes to the NISPOM were preceded by Executive Order 13587, Structural Reforms to Improve the Security of Classified Networks and the Responsible Sharing and Safeguarding of Classified Information. Signed by President Obama in September 2011, Executive Order 13587 requires federal agencies that operate or access classified computer networks to implement insider threat detection and prevention programs.

Read more...

Agile Metrics: Seven Categories

Acquisition , Agile No Comments »

By Will Hayes 
Senior Member of the Technical Staff
Software Solutions Division 

Will HayesMore and more, suppliers of software-reliant Department of Defense (DoD) systems are moving away from traditional waterfall development practices in favor of agile methods. As described in previous posts on this blog, agile methods are effective for shortening delivery cycles and managing costs. If the benefits of agile are to be realized effectively for the DoD, however, personnel responsible for overseeing software acquisitions must be fluent in metrics used to monitor these programs. This blog post highlights the results of an effort by researchers at the Carnegie Mellon University Software Engineering Institute to create a reference for personnel who oversee software development acquisition for major systems built by developers applying agile methods. This post also presents seven categories for tracking agile metrics.

Read more...

Eliciting and Analyzing Unstated Requirements

Requirements , Sociotechnical Ecosystems 1 Comment »

By Mike Konrad Principal Researcher
SEI Software Solutions Division

Michael KonradAs recent news attests, the rise of sociotechnical ecosystems (STE)—which, we define as a software system that engages a large and geographically-distributed community in a shared pursuit—allows us to work in a mind space and a data space that extends beyond anything that we could have imagined 20 or 30 years ago. STEs present opportunities for tackling problems that could not have even been approached previously because the needed experts and data are spread across multiple locations and distance. Since STEs can be complex and have many diverse stakeholders, a key challenge faced by those responsible for establishing and sustaining them is eliciting requirements to inform their development efforts. Yet stakeholders often have requirements that they are not aware of, so they do not specify them. Uncovering these unstated requirements can be hard and is not well-supported by traditional approaches to requirements elicitation. This blog post describes initial results of an effort by researchers at the Carnegie Mellon University Software Engineering Institute—in addition to myself, the team included Nancy MeadRobert Stoddard, and Mary Beth Chrissis—aimed at developing an approach for determining the unstated needs of stakeholders typical of large, diverse programs and especially STEs.

Read more...

Evolutionary Improvements of Quality Attributes: Performance in Practice

Agile , Architecture , Architecture Tradeoff Analysis Method (ATAM) , Quality Attribute Workshop No Comments »

By Neil Ernst 
Member of the Technical Staff 
Software Solutions Division

This post is co-authored by Stephany Bellomo

Neil ErnstContinuous delivery practices, popularized in Jez Humble’s 2010 bookContinuous Delivery, enable rapid and reliable software system deployment by emphasizing the need for automated testing and building, as well as closer cooperation between developers and delivery teams. As part of the Carnegie Mellon University Software Engineering Institute's (SEI) focus on Agile software development, we have been researching ways to incorporate quality attributes into the short iterations common to Agile development. We know from existing SEI work on Attribute-Driven DesignQuality Attribute Workshops, and the Architecture Tradeoff Analysis Method that a focus on quality attributes prevents costly rework. Such a long-term perspective, however, can be hard to maintain in a high-tempo, Agile delivery model, which is why the SEI continues to recommend an architecture-centric engineering approach, regardless of the software methodology chosen. As part of our work in value-driven incremental delivery, we conducted exploratory interviews with teams in these high-tempo environments to characterize how they managed architectural quality attribute requirements (QARs). These requirements—such as performance, security, and availability—have a profound impact on system architecture and design, yet are often hard to divide, or slice, into the iteration-sized user stories common to iterative and incremental development. This difficulty typically exists because some attributes, such as performance, touch multiple parts of the system. This blog post summarizes the results of our research on slicing (refining) performance in two production software systems. We also examined the ratcheting (periodic increase of a specific response measure) of scenario components to allocate QAR work.

Read more...

The Latest Published Research from the SEI

Agile , Insider Threat No Comments »

By Douglas C. Schmidt
Principal Researcher

Douglas C. SchmidtAs part of an ongoing effort to keep you informed about our latest work, I would like to let you know about some recently published SEI technical reports and notes. These reports highlight the latest work of SEI technologists in assuring software reliabilityfuture architecturesAgile software teamsinsider threat, and HTML5. This post includes a listing of each report, author(s), and links where the published reports can be accessed on the SEI website. 

Read more...

Performance of Compiler-Assisted Memory Safety Checking

Secure Coding No Comments »

By David Keaton
Senior Researcher
CERT Secure Coding Initiative

David KeatonAccording to a 2013 report examining 25 years of vulnerabilities (from 1998 to 2012), buffer overflow causes 14 percent of software security vulnerabilities and 35 percent of critical vulnerabilities, making it the leading cause of software security vulnerabilities overall. As of July 2014, the TIOBE index indicates that the C programming language, which is the language most commonly associated with buffer overflows, is the most popular language with 17.1 percent of the market. Embedded systems, network stacks, networked applications, and high-performance computing rely heavily upon C. Embedded systems can be especially vulnerable to buffer overflows because many of them lack hardware memory management units. This blog post describes my research on the Secure Coding Initiative in the CERT Division of the Carnegie Mellon University Software Engineering Institute to create automated buffer overflow prevention.

Read more...

Systems Engineering in Defense and Non-Defense Industries

Systems Engineering No Comments »

By Joseph Elm
Program Integration Manager
Software Solutions Division

Joseph ElmIn today’s systems it’s very hard to know where systems end and software begins. Software performs an integrating function in many systems, often serving as the glue interconnecting other system elements. We also find that many of the problems in software systems have their roots in systems engineering, which is an interdisciplinary field that focuses on how to design and manage complex systems over their life cycles. For that reason, staff at the Carnegie Mellon University Software Engineering Institute (SEI) often conduct research in the systems engineering realm. Process frameworks, architecture development and evaluation methods, and metrics developed for software are routinely adapted and applied to systems. Better systems engineering supports better software development, and both support better acquisition project performance. This blog post, the latest in a series on this research, analyzes project performance based on systems engineering activities in the defense and non-defense industries.

Read more...

Principles of Big Data Systems: You Can’t Manage What You Don’t Monitor

Big Data No Comments »

By Ian Gorton 
Senior Member of the Technical Staff 
Software Solutions Division

Ian Gorton The term big data is a subject of much hype in both government and business today. Big data is variously the cause of all existing system problems and, simultaneously, the savior that will lead us to the innovative solutions and business insights of tomorrow. All this hype fuels predictions such as the one from IDC that the market for big data will reach $16.1 billion in 2014, growing six times faster than the overall information technology  market, despite the fact that the “benefits of big data are not always clear today,” according to IDC. From a software-engineering perspective, however, the challenges of big data are very clear, since they are driven by ever-increasing system scale and complexity. This blog post, a continuation of my last post on the four principles of building big data systems, describes how we must address one of these challenges, namely, you can’t manage what you don’t monitor. 

Read more...