New class of Malware will steal Behavioural Patterns

Computer scientists predict that a new generation of malware will mine social networks for people's private patterns of behavior.

It's not hard to find frightening examples of malware which steals personal information, sometimes for the purpose of making it public and at other times for profit. Details such as names, addresses and emails are hugely valuable for companies wanting to market their wares.

But there is another class of information associated with networks that is potentially much more valuable: the pattern of links between individuals and their behavior in the network--how often they email or call each other, how information spreads between them and so on.

Why is this more valuable? An email address associated with an individual who is at the hub of a vibrant social network is clearly more valuable to a marketing company than an email address at the edge of the network. Patterns of contact can also reveal how people are linked, whether they are in a relationship for example, whether they are students or executives, or whether they prefer celebrity gossip to tech news.

This information would allow a determined attacker to build a remarkably detailed picture of the lifestyle of any individual, a picture that would be far more useful than the basic demographic information that marketeers use today that consists of little more than sex, age and social grouping.

Today, Yaniv Altshuler at Ben Gurion University and a few pals argue that the value of this data makes it almost inevitable that malicious attackers will attempt to steal it. They point out that many companies already mine the pattern of links in their data for things like recommender systems.

"There is no reason to think that developers of malicious applications will not implement the same method and algorithms into future malware, or that they have not already started doing so," they say.

The idea would be to release some kind of malware that records the patterns of links in a network. This kind of malware will be very hard to detect, say Altshuler and co. They've studied the strategies that best mine behavioral pattern data from a real mobile phone network consisting of 800,000 links between 200,000 phones. (They call this type of attack "Stealing Reality".)

In conventional attacks, malware spreads most efficiently when the infection rate is high, and this maximises the amount of information it can steal. But it also makes the malware relatively easy to spot.

In a behavioral pattern attack, their surprising conclusion is that the most effective way of mining data is to have a low infection rate, so the malware spreads slowly. That's because it takes time to collect good information about an individual's behavior patterns. Also, a slow spread is less likely to be picked up by network administrators and antivirus software.

Perhaps the most worrying aspect of this new kind of theft is its potential impact. If malware steals your credit card details or online banking passwords, you can easily change them and this limits the damage.

But if a malicious attacker steals your behavioral patterns, there's almost nothing you can do. You can't change your network of friends or family, for example.

What's more, once this information is released, it is more or less impossible to contain--how would you ensure that every copy had been deleted?

The prospects for avoiding this new threat look bleak. As Altshuler and co point out: "History has shown that whenever something has a tangible value associated with it, there will always be those who try to malevolently 'game' the system for profit."

We'll almost certainly have to deal with this one sooner or later.

Ultimate Social Persuasion Device

In the near future, all citizens will wear a centrally-controlled, super iPhone that tracks your movements and can scan everyone around you to divulge their net worth, their shopping history and their dating potential.

The so-called äppärät is an invention of Gary Shteyngart, author of the satiric novel "Super Sad True Love Story." The main character works in the post-human services industry and he falls in love with a younger woman who constantly "teens," or text chats, with her friends. Is there an äppärät in your future? Will a fictional mobile device have a cautionary impact on today's designs?

How does the apparat rank people?
So you walk into a bar, let's say I'm walking into a bar. Everyone automatically ranks me and so I'll be the seventh ugliest man in the bar, but I'll have the fourth-best credit rating so it's very exciting you know. So everyone tells me that, you know -- who I am.
It also ranks your "personality" and your attractiveness. Your personality is how extroverted you are, how much of your own personal stuff you have out there. So it's constantly -- that's what a "good personality" is -- just somebody who just constantly spews things about her or himself. That's one focus.

Then there's something, there's a kind of emote pad so if you see somebody you're attracted to, it measures your heartbeat as it goes up when you're looking at them. And that woman or man immediately knows how much you want them, and then he or she can reject you or not.

Scary!!!!!

Texting with no Hands!

2ND GENERATION EXOSKELETON ROBOTIC SUIT

Portable laser devices to improve disease diagnosis

Portable devices that use a laser beam to probe bones, teeth, and other parts of the body for early signs of diseases like osteoporosis and tooth decay may seem like something out of science fiction. But those devices are moving closer to reality, according to Chemical & Engineering News (C&EN).

These new diagnostic tools will have the ability to see beneath the skin and detect disease, without exposing patients to X-rays. They embrace a technology that involves focusing a laser beam painlessly through the skin onto a bone or onto the surface of a tooth. After hitting its target, the beam returns to an electronic detector with imprinted information that can reveal whether disease is present. Called Raman spectroscopy, the technology is a mainstay tool in chemistry laboratories that is finding a new life in medicine.

The article describes growing medical interest in Raman-based devices, especially for diagnosing osteoporosis and other bone diseases, and for tracking the effectiveness of treatment. Another application may be in very early detection of tooth decay, so that dentists can treat soft spots on tooth enamel before “drill-and-fill” becomes the only option. The technique could also mean blood tests done without taking blood samples, the article indicates.

Ultra High speed Process

Researchers at Sun Yat-Sen University in China have demonstrated a way to record on ferromagnetic films using laser-assisted ultrafast magnetization reversal dynamics. The development will allow for practical use of new technology for recording more than 6,000 terabits (6 petabits) of data on a single 5-inch disc, using ultra-high-density magneto-optical storage devices.

The new ultrafast recording technique uses “time-resolved polar Kerr spectroscopy” combined with an alternating magnetic field strong enough to re-initialize the magnetization state of gadolinium-iron-cobalt (GdFeCo) thin films. The researchers showed that the magnetization reversal could occur on a sub-nanosecond time scale, which implies that next-generation magneto-optical storage devices can not only realize higher recording densities but also ultrafast data writing of up to a gigahertz — at least thirty times faster than that of present hard disks in computers.

Laser-assisted magnetic recording was demonstrated on a sub-picosecond time scale under a saturated external magnetic field. “We found that the rate of magnetization reversal is proportional to the external magnetic field,” says Tianshu Lai, “and the genuine thermo-magnetic recording should happen within several tens to hundreds of picoseconds when we apply a smaller magnetic field than the coercivity of the recording films.”