
Self-modifying code is frequently used as an additional layer of complexity when obfuscating code. Although it does not provide a provable level of obfuscation, it is generally assumed to make attacks more expensive. This paper attempts to quantify the cost of attacking self-modified code by defining a taxonomy for it and systematically categorising an adversary's capabilities. A number of published methods and techniques for self-modifying code are then classified according to both the taxonomy and the model.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
