THOMAS is a powerful brain circuit that releases the neurochemical oxytocin when we are trusted and induces a desire to reciprocate the trust we have been shown–even with strangers. The key to a con is not that you trust the conman, but that he shows he trusts you. Conmen ply their trade by appearing fragile or needing help, by seeming vulnerable. Because of THOMAS, the human brain makes us feel good when we help others–this is the basis for attachment to family and friends and cooperation with strangers

So my question: if real-life cons can easily scam people by appearing to depend on them, how does this affect the scams we see on the Net? Clearly some online cons rely on this method — the Nigerian bank scam being a prime example. It seems like social engineering scams particularly rely on this method — but not all scams. And of course many other vulnerabilities just seem to rely on people’s habits to just click links willy-nilly online, which is an impersonal event. If the net were a more personal place, we might see many more of those kinds of scams.

When I park my car in the garage, I lock it. Why? Well, although I would hate for someone to steal my snow shovel and hockey sticks, my car is much more valuable to me. Security is about managing risk, specifically protecting valuable assets like my car. I have a higher level of protection on my car than on my garage. In dollar terms, the contents of my garage are orders of magnitude less valuable than my car. I could spend a lot of money fortifying my garage, and that would add some security to my car while it is parked there, but it is not a cost-effective investment. First, my car is the asset of value, and second the garage - no matter how well protected it is - doesn't move. 

Car manufacturers know this, insurance companies know this, consumers know this. Even media publishers know, yet in the common enterprise, programmers and architects seem to roam in ignorance. Your average download of a Michael Bolton song carries a far higher level of security than valuable user data, like passwords, social security numbers, and credit card details. Why do we keep protecting critical data with point-to-point security solutions (like SSL) that protect the transmission channel, but leave the valuable assets being transported wide open everywhere else? This is a critical question that needs to be answered in order to successfully add an effective layer of security to an SOA.

While genetics is concerned with the observation of specific sections of DNA, genomics is about studying the entire genome of an organism, something that has only become practically possible in recent years. In forensic genetics, which is the technology behind the large national DNA databases being built in several countries including notably UK and USA (Wallace’s outstanding article lucidly exposes many significant issues), investigators compare scene-of-crime samples with database samples by checking if they match, but only on a very small number of specific locations in the genome (e.g. 13 locations according to the CODIS rules). In our paper we explore what might change when forensic analysis moves from genetics to genomics over the next few decades. This is a problem that can only be meaningfully approached from a multi-disciplinary viewpoint and indeed our combined backgrounds cover computer security, bioinformatics and law.

(Image from Wikimedia commons, in turn from NIST.)

Sequencing the first human genome (2003) cost 2.7 billion dollars and took 13 years. The US’s National Human Genome Research Institute has offered over 20 M$ worth of grants towards the goal of driving the cost of whole-genome sequencing down to a thousand dollars. This will enable personalized genomic medicine (e.g. predicting genetic risk of contracting specific diseases) but will also open up a number of ethical and privacy-related problems. Eugenetic abortions, genomic pre-screening as precondition for healthcare (or even just dating…), (mis)use of genomic data for purposes other than that for which it was collected and so forth. In various jurisdictions there exists legislation (such as the recent GINA in the US) that attempts to protect citizens from some of the possible abuses; but how strongly is it enforced? And is it enough? In the forensic context, is the DNA analysis procedure as infallible as we are led to believe? There are many subtleties associated with the interpretation of statistical results; when even professional statisticians disagree, how are the poor jurors expected to reach a fair verdict? Another subtle issue is kin privacy: if the scene-of-crime sample, compared with everyone in the database, partially matches Alice, this may be used as a hint to investigate all her relatives, who aren’t even in the database; indeed, some 1980s murders were recently solved in this way. “This raises compelling policy questions about the balance between collective security and individual privacy” [Bieber, Brenner, Lazer, 2006]. Should a democracy allow such a “driftnet” approach of suspecting and investigating all the innocents in order to catch the guilty?

This is a paper of questions rather than one of solutions. We believe an informed public debate is needed before the expected transition from genetics to genomics takes place. We want to stimulate discussion and therefore we invite you to read the paper, make up your mind and support what you believe are the right answers.