The trouble is that such questions are not very secure. More people than you may think will know your answers. And if they don't, it might not be hard to search for it online or even make a lucky guess.

But Rutgers computer scientists are testing a new tactic that could be both easier and more secure.

"We call them activity-based personal questions," said Danfeng Yao, assistant professor of computer science in the Rutgers School of Arts and Sciences. "Sites could ask you, 'When was the last time you sent an e-mail?' Or, 'What did you do yesterday at noon?'"

Yao and her students have been testing how resistant these activity questions are to "attack," - computer security lingo for when an intruder answers them correctly and gains access to personal information such as e-mails or to do online shopping or banking.

Early studies suggest that questions about recent activities are easy for legitimate users to answer but harder for potential intruders to find or guess, Yao said.

"We want the question to be dynamic," she said. "The questions you get today will be different from the ones you would get tomorrow."

Rutgers doctoral student Huijun Xiong and visiting undergraduate student Anitra Babic are presenting the group's preliminary results in a workshop at this week's Association for Computing Machinery Conference on Computer and Communications Security. Babic is a senior at Chestnut Hill College in Philadelphia and participated in a summer research program at Rutgers.

Yao said she gave four students in her lab a list of questions related to network activities, physical activities and opinion questions, and then told them to "attack" each other.

"We found that questions related to time are more robust than others. Many guessed the answer to the question, 'Who was the last person you sent e-mail to?' But fewer were able to guess, 'What time did you send your last e-mail?'"

Yao explains that it should not be difficult for an online service provider to formulate these kinds of security questions by looking at its users' e-mail, calendar activities or previous transactions. Computers would have use natural language processing tools to synthesize understandable questions and analyze the answers for accuracy.

Yao is proposing further studies to determine the practicality of the new approach and the best way to implement it.

Source: Rutgers University (news : web)