tent of what’s being typed have been prosecuted for violating wiretap laws. Because keystroke-dynamics programs don’t record contents, they aren’t expected to be subject to such laws, and no legal
difficulties have arisen so far. But in some circumstances, key-stroke-timing data might be used to reconstruct a password or
even the content of a message.
Gunetti and Picardi’s program, for example, records the average time elapsed between keystrokes for each pair of letters but
doesn’t keep track of the order of the keystroke pairs. In a short
typing session, however, that might be enough for someone to
guess how to put together the keystrokes into the full message.
Typeprint analysis could also be troublesome in hackers’ hands.
In 2001, researchers pointed out that typeprints could be used
by hackers to listen in when people are working on a computer
from a remote location.
Secure communication protocols send each keystroke
across the Internet encoded
in a separate data packet. A
hacker can’t read the encoded
packets directly, but by analyzing the rhythm of the packets, he or she might narrow
the possibilities for what has
been typed. This vulnerability
would be difficult to remove
but, so far, it has also proved
difficult to exploit.
Challenges remain even for
using keystroke analysis to
strengthen passwords or to
identify the user of a Web site.
Keystroke-dynamics software
may be fooled if people type
differently when they’re using
an unfamiliar keyboard or
when they’re tired or drunk or
distracted. On the other hand,
those variations may be valuable to detect fatigue in situations where alertness is essential.
and when—to verify Web site visitors’ claimed identities and to
prevent fraud online.
Suppose that a person ordinarily visits an online bookseller
only on Sunday afternoons, spends around 15 minutes looking
through the site, reads reviews of gardening books, and always
buys one book with a registered credit card. If on a Monday morning, someone claims to be that person and after 8 minutes tries
to buy five books on science fiction, the seller might well suspect
fraudulent activity. The seller could then ask for additional verification of the visitor’s identity, for example by sending a message
to that person’s e-mail address on file.
The key to verifying someone’s identity lies in accumulating data
about that person’s behavior from multiple browsing sessions. The
researchers’ experimental program kept track only of the session’s
length, time of day, and day of
the week and the number of
pages viewed. In their study,
Padmanabhan and Yang found
that a clickstream-data program within a Web site getting
small amounts of traffic would
need at least 30 browsing sessions to discern the habits of a
user. And even then, the program would be only about 80
percent accurate.
Web sites getting more traffic would require analysis of
more habits, the researchers
say.
If someone didn’t want to be
identified by clickprint, he or she
could easily alter behavior to
elude detection, Padmanabhan
and Yang say. On the other
hand, it would be difficult for
crooks to be successful impersonators. “They’d really have to
change their behavior in a way
that’s exactly like the person they’re mimicking,” Padmanabhan says.
THE RIGHT WRITEPRINT? — A new technique for identifying
Internet abusers analyzes a message and plots characteristics of
several traits, such as punctuation. The similar shapes show that the
top two sets of graphs come from messages by one author, and the
bottom two from messages by another.
CLICKPRINTS The keyboard isn’t the only method of computer
input. With the rise of the Internet and its click-through format,
input devices such as the computer mouse are playing an increasingly important role.
Picardi and Gunetti are testing ways to detect intruders on a computer system by their mouse movements. The researchers suspect
that people have identifiable patterns in the shapes and speeds of
their usual mouse motions.
Mouse movements can be used to produce signatures, says
Peter McOwan of Queen Mary, University of London. He recorded
his test subjects as they drew signatures using the mouse—either
an imitation of their normal, pen-and-paper signatures or a drawing of their choosing. He used these digital signatures as additions
to password entry to strengthen authentication of computer users’
identities.
A. ABBASI AND CHEN
To challenge the strength of his program, he gave test participants the password of a person whose keystroke pattern and
tracing signature had been previously recorded. The combined
digital signature and keystroke-dynamic analyses rejected more
than 95 percent of participants who were acting as intruders,
while accepting the legitimate users more than 99 percent of the
time, McOwan reported in 2003.
Other researchers are working to identify patterns in the ways
in which people click and scroll through Web sites. Balaji Padmanabhan of the Wharton School in Philadelphia and Yinghui
Yang of the University of California, Davis are looking for ways
to employ what they call clickstream data—what a user clicks on
WRITEPRINTS On July 11, 1804, Alexander Hamilton had no
idea that he was laying the groundwork for research into online
bulletin boards. On that night, as Hamilton prepared for a morning duel with Aaron Burr, he made a list of which of the 85
essays in the Federalist Papers he’d written and which ones had
been penned by James Madison or John Jay. The duel proved
fatal to Hamilton, and Madison subsequently disputed Hamilton’s claim of authorship on 12 of the articles.
With the scandal, a puzzle was set for scientists, who have since
tried various statistical techniques to characterize the writing styles
of the three men. Altogether, researchers have considered more
than 1,000 features of writing style. Nearly all the analyses have
vindicated Madison.
Hsinchun Chen, a researcher in information systems at the University of Arizona in Tucson, realized that such analysis could be
applied to a quite different problem. “It could be used to track anyone who is trying to hide their identity on the Web,” Chen says.
“They’ll leave a trace.”
People commonly post anonymously to message boards or
employ different user names. Chen seeks to enable law-enforce-ment officers to detect whether various threatening or illegal posts
come from a single user.
Chen and his colleagues have studied messages from the White
Knights, a chapter of the Ku Klux Klan; the Al-Aqsa Martyrs, an
anti–United States Palestinian group; and English and Chinese bulletin boards where pirated software and music are commonly sold.
The researchers considered the same writing habits that ana-