TY - JOUR AU - Chandranegara, Didih Rizki AU - Sumadi, Fauzi Dwi Setiawan PY - 2018/11/10 Y2 - 2024/03/29 TI - Keystroke Dynamic Authentication Using Combined MHR (Mean of Horner’s Rules) and Standard Deviation JF - Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JA - KINETIK VL - 4 IS - 1 SE - DO - 10.22219/kinetik.v4i1.719 UR - https://kinetik.umm.ac.id/index.php/kinetik/article/view/719 SP - 13-18 AB - <p><em>Keystroke Dynamic Authentication used a behavior</em><em> </em><em>to authenticate </em><em>the </em><em>user</em><em> and one of biometric authentication. </em><em>The behavior</em><em> used a typing speed a character on the keyboard</em><em> and e</em><em>very user had a unique behavior in typing. </em><em>To improve classification between user and attacker of Keystroke Dynamic Authentication i</em><em>n this research, we proposed a combination of MHR (Mean of Horner’s Rules) and standard deviation. The results of this research showed that our proposed method gave a high accuracy </em><em>(</em><em>93.872</em><em>%) </em><em>than </em><em>the </em><em>previous</em><em> method</em><em> (</em><em>75.388</em><em>% and 75.156%)</em><em>. This research gave an opportunity to implemented in real login system</em><em> </em><em>because our method gave the best results</em><em> with False Acceptance Rate (FAR) is 0.113</em><em>. The user can be used </em><em>as </em><em>a simple password and ignore a worrying </em><em>about</em><em> a</em><em>n</em><em> account hacking in the system.</em></p> ER -