A self‐checking signature scheme for checking backdoor security attacks in Internet
By M. F. Abdulla, C. Ravikumar. 2004
5 citations recorded by the source corpus.
It is very common for people across the globe to collaborate on the Internet and intellectual property amongst each other. A serious threat to this form of collaboration can come from “backdoor” attacks from hackers, who can distort the information content. For example, a backdoor attack may replace common operating system functions with malicious ones. A possible precaution against such an attack is to generate a signature database and compare the signature of a system functionality with its golden signature before using the functionality. We present an alternate and novel method to detect Trojan activity. Called time fingerprinting, the method relies on observing a finite number of fingerprints during signature generation and tracing the Trojan fingerprints in system files. We have verified the desired properties using common semi trusted operating system files.
Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bo Li
- Dawn Song
- Xinyun Chen
- Chang Liu
- Kimberly Lu
- Nicholas Carlini
- Neil Zhenqiang Gong
- Cho-Jui Hsieh
In Computer Networks and Communications
In Hardware and Architecture
Citations in the corpus
- Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning (2017, background): “Different backdoor attack strategies have been studied for various systems [71], [43], [8], [72], [19], [65], [31], [20].”