Disruptive security technologies with mobile code and by R.R. Brooks

By R.R. Brooks

The normal castle mentality of process defense has confirmed useless to assaults through disruptive applied sciences. this can be due mostly to their reactive nature. Disruptive safety applied sciences, nevertheless, are proactive of their method of assaults. they permit platforms to conform to incoming threats, elimination some of the vulnerabilities exploited by way of viruses and worms.

Disruptive protection applied sciences With cellular Code and Peer-To-Peer Networks offers a starting place for constructing those adaptive platforms through describing the layout rules and the basics of a brand new protection paradigm embracing disruptive applied sciences. for you to offer a radical grounding, the writer covers such subject matters as cellular code, powerful peer-to-peer networks, the multi-fractal version of community circulate, protection automata, dependability, caliber of provider, cellular code paradigms, code obfuscation, and disbursed edition strategies as a part of procedure security.

Adaptive platforms let community designers to achieve equivalent footing with attackers. this whole advisor combines a wide physique of literature right into a unmarried quantity that's concise and recent. With this e-book, computing device scientists, programmers, and electric engineers, in addition to scholars learning community layout will dramatically improve their structures' skill to beat power safeguard threats.

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Diagram showing the code signing process using public key encryption. Modification detection codes (MDCs) are secure hash functions used to detect changes to a given data object. Well-known MDC algorithms include MD5 and © 2005 by CRC Press 42 Disruptive Security Technologies SHA-1. An MDC value can be provided to ensure that a program has not been modified. Inputting program binary into SHA-1 produces output that should match the independently provided hash value. If they do not match, the program has been corrupted in some way [Menezes 1997].

Cohen is the first researcher to specifically consider viruses as a security threat, and potential research topic. By the end of 1985, viruses started appearing on personal computers. The origin of most viruses is obscure. Many viruses in the late 1980s could be traced to “virus factories” in the Eastern Bloc, notably Bulgaria [Bontchev 1989], leading to suspicions that some viruses were state sponsored or at least tolerated by hostile foreign governments. As Internet use and software sharing became more widespread, the number of virus variants and the number of machines infected increased.

These are also known as tempest or Van Eck attacks. A new variation, called “optical tempest,” monitors the flickering lights of router status diodes to reproduce routed data streams [Loughry 2002]. Monitoring resource consumption is another important source of information leakage. There is an urban legend that during government crises (before major military operations) government employees work long hours in the White House (Pentagon) and the number of pizza deliveries increases. By monitoring pizza deliveries, it should be possible to foresee crises (military operations).

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