Researchers Building Computer System That Can Protect Itself From Online Attacks

In the online struggle for network security, Kansas State University cybersecurity experts are adding an ally to the security force: the computer network itself.

Scott DeLoach, professor of computing and information sciences, and Xinming "Simon" Ou, associate professor of computing and information sciences, are researching the feasibility of building a computer network that could protect itself against online attackers by automatically changing its setup and configuration.

DeLoach and Ou were recently awarded a five-year grant of more than $1 million from the Air Force Office of Scientific Research to fund the study "Understanding and quantifying the impact of moving target defenses on computer networks." The study, which began in April, will be the first to document whether this type of adaptive cybersecurity, called moving-target defense, can be effective. If it can work, researchers will determine if the benefits of creating a moving-target defense system outweigh the overhead and resources needed to build it.

Helping Ou and DeLoach in their investigation and research are Kansas State University students Rui Zhuang and Su Zhang, both doctoral candidates in computing and information sciences from China, and Alexandru Bardas, doctoral student in computing and information sciences from Romania.

As the study progresses, the computer scientists will develop a set of analytical models to determine the effectiveness of a moving-target defense system. They will also create a proof-of-concept system as a way to experiment with the idea in a concrete setting.

"It's important to investigate any scientific evidence that shows that this approach does work so it can be fully researched and developed," DeLoach said. He started collaborating with Ou to apply intelligent adaptive techniques to cybersecurity several years ago after a conversation at a university open house.

The term moving-target defense -- a subarea of adaptive security in the cybersecurity field -- was first coined around 2008, although similar concepts have been proposed and studied since the early 2000s. The idea behind moving-target defense in the context of computer networks is to create a computer network that is no longer static in its configuration. Instead, as a way to thwart cyber attackers, the network automatically and periodically randomizes its configuration through various methods -- such as changing the addresses of software applications on the network; switching between instances of the applications; and changing the location of critical system data.

Ou and DeLoach said the key is to make the network appear to an attacker that it is changing chaotically while to an authorized user the system operates normally.

"If you have a Web server, pretty much anybody in the world can figure out where you are and what software you're running," DeLoach said. "If they know that, they can figure out what vulnerabilities you have. In a typical scenario, attackers scan your system and find out everything they can about your server configuration and what security holes it has. Then they select the best time for them to attack and exploit those security holes in order to do the most damage. This could change that."

Creating a computer network that could automatically detect and defend itself against cyber attacks would substantially increase the security of online data for universities, government departments, corporations and businesses -- all of which have been the targets of large-scale cyber attacks.

In February 2011 it was discovered that the Nasdaq Stock Market's computer network had been infiltrated by hackers. Although federal investigators concluded that it was unlikely the hackers stole any information, the network's security had been left vulnerable for more than a year while the hackers visited it numerous times.

According to Ou, creating a moving-target defense system would shift the power imbalance that currently resides with hackers -- who need only find a single security hole to exploit -- back to the network administrators -- who would have a system that frequently removes whatever security privileges attackers may gain with a new clean slate.

"This is a game-changing idea in cybersecurity," Ou said. "People feel that we are currently losing against online attackers. In order to fundamentally change the cybersecurity landscape and reduce that high risk we need some big, fundamental changes to the way computers and networks are constructed and organized."

Featured

  • Survey Shows Election Anxiety Crosses Party Lines

    New reports of election worker intimidation are raising concerns about election interference. A majority of Americans (71%) are worried about voter intimidation or safety at the polls, and 75% want security cameras at their voting place, according to a new national survey. Read Now

  • 66 Percent of Cybersecurity Pros Say Job Stress is Growing

    Sixty-six percent of cybersecurity professionals say their role is more stressful now than it was five years ago, according to the newly released 2024 State of Cybersecurity survey report from ISACA, a global professional association advancing trust in technology. Read Now

  • Live from GSX 2024: Post-Show Recap

    Another great edition of GSX is in the books! We’d like to thank our great partners for this years event, NAPCO, LVT, Eagle Eye Networks and Hirsch, for working with us and allowing us to highlight some of the great solutions the companies were showcasing during the crowded show. Read Now

    • Industry Events
    • GSX
  • Research: Cybersecurity Success Hinges on Full Organizational Support

    Cybersecurity is the top technology priority for the vast majority of organizations, but moving from aspiration to reality requires a top-to-bottom commitment that many companies have yet to make, according to new research released today by CompTIA, the nonprofit association for the technology industry and workforce. Read Now

Featured Cybersecurity

Webinars

New Products

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area. 3

  • Camden CV-7600 High Security Card Readers

    Camden CV-7600 High Security Card Readers

    Camden Door Controls has relaunched its CV-7600 card readers in response to growing market demand for a more secure alternative to standard proximity credentials that can be easily cloned. CV-7600 readers support MIFARE DESFire EV1 & EV2 encryption technology credentials, making them virtually clone-proof and highly secure. 3

  • PE80 Series

    PE80 Series by SARGENT / ED4000/PED5000 Series by Corbin Russwin

    ASSA ABLOY, a global leader in access solutions, has announced the launch of two next generation exit devices from long-standing leaders in the premium exit device market: the PE80 Series by SARGENT and the PED4000/PED5000 Series by Corbin Russwin. These new exit devices boast industry-first features that are specifically designed to provide enhanced safety, security and convenience, setting new standards for exit solutions. The SARGENT PE80 and Corbin Russwin PED4000/PED5000 Series exit devices are engineered to meet the ever-evolving needs of modern buildings. Featuring the high strength, security and durability that ASSA ABLOY is known for, the new exit devices deliver several innovative, industry-first features in addition to elegant design finishes for every opening. 3