5 research outputs found

    Vulnerability analysis of cyber-behavioral biometric authentication

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    Research on cyber-behavioral biometric authentication has traditionally assumed naΓ―ve (or zero-effort) impostors who make no attempt to generate sophisticated forgeries of biometric samples. Given the plethora of adversarial technologies on the Internet, it is questionable as to whether the zero-effort threat model provides a realistic estimate of how these authentication systems would perform in the wake of adversity. To better evaluate the efficiency of these authentication systems, there is need for research on algorithmic attacks which simulate the state-of-the-art threats. To tackle this problem, we took the case of keystroke and touch-based authentication and developed a new family of algorithmic attacks which leverage the intrinsic instability and variability exhibited by users\u27 behavioral biometric patterns. For both fixed-text (or password-based) keystroke and continuous touch-based authentication, we: 1) Used a wide range of pattern analysis and statistical techniques to examine large repositories of biometrics data for weaknesses that could be exploited by adversaries to break these systems, 2) Designed algorithmic attacks whose mechanisms hinge around the discovered weaknesses, and 3) Rigorously analyzed the impact of the attacks on the best verification algorithms in the respective research domains. When launched against three high performance password-based keystroke verification systems, our attacks increased the mean Equal Error Rates (EERs) of the systems by between 28.6% and 84.4% relative to the traditional zero-effort attack. For the touch-based authentication system, the attacks performed even better, as they increased the system\u27s mean EER by between 338.8% and 1535.6% depending on parameters such as the failure-to-enroll threshold and the type of touch gesture subjected to attack. For both keystroke and touch-based authentication, we found that there was a small proportion of users who saw considerably greater performance degradation than others as a result of the attack. There was also a sub-set of users who were completely immune to the attacks. Our work exposes a previously unexplored weakness of keystroke and touch-based authentication and opens the door to the design of behavioral biometric systems which are resistant to statistical attacks

    МолодСТь ΠΈ соврСмСнныС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ: сборник Ρ‚Ρ€ΡƒΠ΄ΠΎΠ² XVI ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСской ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Ρ‘Π½Ρ‹Ρ…, 3-7 дСкабря 2018 Π³., Π³. Вомск

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    Π‘Π±ΠΎΡ€Π½ΠΈΠΊ содСрТит Π΄ΠΎΠΊΠ»Π°Π΄Ρ‹, прСдставлСнныС Π½Π° XVI ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСской ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ… «МолодСТь ΠΈ соврСмСнныС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈΒ», ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠ΅ΠΉ Π² Вомском политСхничСском унивСрситСтС Π½Π° Π±Π°Π·Π΅ Π˜Π½ΠΆΠ΅Π½Π΅Ρ€Π½ΠΎΠΉ ΡˆΠΊΠΎΠ»Ρ‹ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚ΠΎΡ‚Π΅Ρ…Π½ΠΈΠΊΠΈ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ сборника ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‚ Π΄ΠΎΠΊΠ»Π°Π΄Ρ‹ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ…, принятыС ΠΊ ΠΎΠ±ΡΡƒΠΆΠ΄Π΅Π½ΠΈΡŽ Π½Π° сСкциях: Β«ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½Ρ‹Ρ…Β», «Автоматизация ΠΈ ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ Π² тСхничСских систСмах», «РобототСхничСскиС ΠΈ ΠΌΠ΅Ρ…Π°Ρ‚Ρ€ΠΎΠ½Π½Ρ‹Π΅ систСмы», «Цифровизация, IT ΠΈ цифровая экономика», Β«ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ Π³Ρ€Π°Ρ„ΠΈΠΊΠ° ΠΈ Π΄ΠΈΠ·Π°ΠΉΠ½Β». Π‘Π±ΠΎΡ€Π½ΠΈΠΊ ΠΏΡ€Π΅Π΄Π½Π°Π·Π½Π°Ρ‡Π΅Π½ для спСциалистов Π² области ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, студСнтов ΠΈ аспирантов ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΡΡ‚Π΅ΠΉ

    МолодСТь ΠΈ соврСмСнныС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ: сборник Ρ‚Ρ€ΡƒΠ΄ΠΎΠ² XVI ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСской ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Ρ‘Π½Ρ‹Ρ…, 3-7 дСкабря 2018 Π³., Π³. Вомск

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    Π‘Π±ΠΎΡ€Π½ΠΈΠΊ содСрТит Π΄ΠΎΠΊΠ»Π°Π΄Ρ‹, прСдставлСнныС Π½Π° XVI ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСской ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ… «МолодСТь ΠΈ соврСмСнныС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈΒ», ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠ΅ΠΉ Π² Вомском политСхничСском унивСрситСтС Π½Π° Π±Π°Π·Π΅ Π˜Π½ΠΆΠ΅Π½Π΅Ρ€Π½ΠΎΠΉ ΡˆΠΊΠΎΠ»Ρ‹ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚ΠΎΡ‚Π΅Ρ…Π½ΠΈΠΊΠΈ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ сборника ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‚ Π΄ΠΎΠΊΠ»Π°Π΄Ρ‹ студСнтов, аспирантов ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ…, принятыС ΠΊ ΠΎΠ±ΡΡƒΠΆΠ΄Π΅Π½ΠΈΡŽ Π½Π° сСкциях: Β«ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½Ρ‹Ρ…Β», «Автоматизация ΠΈ ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ Π² тСхничСских систСмах», «РобототСхничСскиС ΠΈ ΠΌΠ΅Ρ…Π°Ρ‚Ρ€ΠΎΠ½Π½Ρ‹Π΅ систСмы», «Цифровизация, IT ΠΈ цифровая экономика», Β«ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ Π³Ρ€Π°Ρ„ΠΈΠΊΠ° ΠΈ Π΄ΠΈΠ·Π°ΠΉΠ½Β». Π‘Π±ΠΎΡ€Π½ΠΈΠΊ ΠΏΡ€Π΅Π΄Π½Π°Π·Π½Π°Ρ‡Π΅Π½ для спСциалистов Π² области ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, студСнтов ΠΈ аспирантов ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΡΡ‚Π΅ΠΉ
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