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Ignacio Sanchez - One of the best experts on this subject based on the ideXlab platform.
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a new multimodal approach for Password strength estimation part ii experimental evaluation
IEEE Transactions on Information Forensics and Security, 2017Co-Authors: Javier Galbally, Iwen Coisel, Ignacio SanchezAbstract:A novel multimodal method for the estimation of Password strength was presented in Part I of this series of two papers. In this paper, the experimental framework used for the evaluation of the novel approach is described. The method is evaluated following a reproducible protocol, which includes a three-dimensional approach: 1) deterministic assessment; 2) statistical assessment; and 3) third parties assessment (thanks to the availability upon request of an executable application that integrates the multimodal meter). The key experiment of the protocol compares, from a probabilistic point of view, the strength distributions assigned to Passwords broken with increasingly complex attacking approaches, following a common strategy in a typical Password cracking session. The experimental evaluation is carried out not only for the new meter, but also for other strength estimators from the state of the art, comparing their overall performance. In addition to its consistent results, the proposed method is highly flexible and can be adjusted to specific environments or to a certain Password Policy. Furthermore, it can also evolve over time in order to naturally adjust to new Password selection trends followed by users.
Hermawan, Adhi Saputra - One of the best experts on this subject based on the ideXlab platform.
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STUDI TINGKAT Password Policy MAHASISWA PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA, PENDIDIKAN BAHASA INGGRIS, DAN PENDIDIKAN MATEMATIKA UNIVERSITAS NEGERI YOGYAKARTA
2016Co-Authors: Hermawan, Adhi SaputraAbstract:ABSTRAK STUDI TINGKAT Password Policy MAHASISWA PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA, PENDIDIKAN BAHASA INGGRIS, DAN PENDIDIKAN MATEMATIKA UNIVERSITAS NEGERI YOGYAKARTA Oleh: Hermawan Adhi Saputra NIM. 07520241041 Kata sandi merupakan deretan karakter dalam komputer yang disusun guna memberikan hak atas suatu informasi. Terkadang kata sandi yang dipilih adalah kata sandi yang mudah ditebak seperti tanggal lahir, nama akrab atau bahkan sama dengan nama pengguna (username). Tujuan utama dilakukan penelitian ini adalah untuk mengetahui tingkat keamanan kata sandi yang digunakan mahasiswa UNY program studi mahasiswa Pendidikan Teknik Informatika dibanding mahasiswa Pendidikan Bahasa Inggris, dan Pendidikan Matematika. Hasil penelitian ini diharapkan dapat memberi wawasan bahwa pemilihan Password Policy yang aman memiliki kriteria tertentu. Penelitian ini menggunakan angket tertutup sebagai media pengambilan data. Data yang terkumpul dianalisa secara deskriptif. Pendekatan yang dilakukan adalah kuantitatif. Tingkatan keamanan dikelompokkan menjadi 5 yaitu: sangat tidak aman, tidak aman, cukup aman, aman dan sangat aman. Lalu diuji untuk mengetahui seberapa signifikan tingkat Password Policy mahasiswa program studi Pendidikan Teknik Informatika, Pendidikan Bahasa Inggris, dan Pendidikan Matematika Penelitian ini menunjukkan bahwa mahasiswa Pendidikan Teknik Informatika memiliki tingkat Password Policy paling tinggi yaitu 60,7% dari pada mahasiswa pendidikan Bahasa Inggris yaitu 59,6% dan dari mahasiswa Pendidikan Matematika 54,8%. Baik antara mahasiswa program studi Pendidikan Teknik Informatika, Pendidikan Bahasa Inggris, dan Pendidikan Matematika tidak memiliki perbedaan yang signifikan dalam pemilihan Password Policy. Kata kunci: keamanan, kebijakan kata sand
Adhi Saputra Hermawan - One of the best experts on this subject based on the ideXlab platform.
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studi tingkat Password Policy mahasiswa program studi pendidikan teknik informatika pendidikan bahasa inggris dan pendidikan matematika universitas negeri yogyakarta
2013Co-Authors: Adhi Saputra HermawanAbstract:ABSTRAK STUDI TINGKAT Password Policy MAHASISWA PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA, PENDIDIKAN BAHASA INGGRIS, DAN PENDIDIKAN MATEMATIKA UNIVERSITAS NEGERI YOGYAKARTA Oleh: Hermawan Adhi Saputra NIM. 07520241041 Kata sandi merupakan deretan karakter dalam komputer yang disusun guna memberikan hak atas suatu informasi. Terkadang kata sandi yang dipilih adalah kata sandi yang mudah ditebak seperti tanggal lahir, nama akrab atau bahkan sama dengan nama pengguna (username). Tujuan utama dilakukan penelitian ini adalah untuk mengetahui tingkat keamanan kata sandi yang digunakan mahasiswa UNY program studi mahasiswa Pendidikan Teknik Informatika dibanding mahasiswa Pendidikan Bahasa Inggris, dan Pendidikan Matematika. Hasil penelitian ini diharapkan dapat memberi wawasan bahwa pemilihan Password Policy yang aman memiliki kriteria tertentu. Penelitian ini menggunakan angket tertutup sebagai media pengambilan data. Data yang terkumpul dianalisa secara deskriptif. Pendekatan yang dilakukan adalah kuantitatif. Tingkatan keamanan dikelompokkan menjadi 5 yaitu: sangat tidak aman, tidak aman, cukup aman, aman dan sangat aman. Lalu diuji untuk mengetahui seberapa signifikan tingkat Password Policy mahasiswa program studi Pendidikan Teknik Informatika, Pendidikan Bahasa Inggris, dan Pendidikan Matematika Penelitian ini menunjukkan bahwa mahasiswa Pendidikan Teknik Informatika memiliki tingkat Password Policy paling tinggi yaitu 60,7% dari pada mahasiswa pendidikan Bahasa Inggris yaitu 59,6% dan dari mahasiswa Pendidikan Matematika 54,8%. Baik antara mahasiswa program studi Pendidikan Teknik Informatika, Pendidikan Bahasa Inggris, dan Pendidikan Matematika tidak memiliki perbedaan yang signifikan dalam pemilihan Password Policy. Kata kunci: keamanan, kebijakan kata sandi
Anthony Vance - One of the best experts on this subject based on the ideXlab platform.
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can individuals neutralization techniques be overcome a field experiment on Password Policy
Computers & Security, 2020Co-Authors: Mikko T Siponen, Petri Puhakainen, Anthony VanceAbstract:Abstract Individuals’ lack of adherence to Password security Policy is a persistent problem for organizations. This problem is especially worrisome because Passwords remain the primary authentication mechanism for information systems, and the number of Passwords has been increasing. For these reasons, determining methods to improve individuals’ adherence to Password-security policies constitutes an important issue for organizations. Extant research has shown that individuals use neutralization techniques, i.e., types of rationalizations, to disregard organizational information-security policies. What has not been determined from extant information security research is whether these neutralizations can be changed through educational training interventions. We argue that training based on principles of cognitive dissonance theory is a promising method for reducing individuals’ use of neutralization techniques. We contribute by showing empirically that training based on cognitive dissonance theory can reduce the use of neutralization techniques when such training is designed to counter such techniques. Using a quasi-experimental design at an organization, individuals received training on neutralization techniques in the context of Password security. Using a quasi-experimental design, we found that individuals who received our training treatment exhibited substantially less intent to use neutralization techniques and were significantly more likely to use secure Passwords. Additionally, a follow-up measurement three weeks after the training session showed that the experimental treatment retained its effectiveness, i.e., the experimental group exhibited substantially less intent to use neutralization techniques and a greater likelihood of using strong Passwords in the future. Additionally, intent was significantly greater in the experimental group. Implications for practice and future research are discussed.
Javier Galbally - One of the best experts on this subject based on the ideXlab platform.
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a new multimodal approach for Password strength estimation part ii experimental evaluation
IEEE Transactions on Information Forensics and Security, 2017Co-Authors: Javier Galbally, Iwen Coisel, Ignacio SanchezAbstract:A novel multimodal method for the estimation of Password strength was presented in Part I of this series of two papers. In this paper, the experimental framework used for the evaluation of the novel approach is described. The method is evaluated following a reproducible protocol, which includes a three-dimensional approach: 1) deterministic assessment; 2) statistical assessment; and 3) third parties assessment (thanks to the availability upon request of an executable application that integrates the multimodal meter). The key experiment of the protocol compares, from a probabilistic point of view, the strength distributions assigned to Passwords broken with increasingly complex attacking approaches, following a common strategy in a typical Password cracking session. The experimental evaluation is carried out not only for the new meter, but also for other strength estimators from the state of the art, comparing their overall performance. In addition to its consistent results, the proposed method is highly flexible and can be adjusted to specific environments or to a certain Password Policy. Furthermore, it can also evolve over time in order to naturally adjust to new Password selection trends followed by users.
