Author: Software Development Pty, Limted
Publisher: Steve Goodwin
ISBN: 0987378449
Category : Fiction
Languages : en
Pages : 279
Book Description
Elijah Hael - the Genetic Code
Author: Software Development Pty, Limted
Publisher: Steve Goodwin
ISBN: 0987378449
Category : Fiction
Languages : en
Pages : 279
Book Description
Publisher: Steve Goodwin
ISBN: 0987378449
Category : Fiction
Languages : en
Pages : 279
Book Description
The Angelic Gene
Author: Steve Goodwin
Publisher: Steve Goodwin
ISBN: 0987378465
Category : Fiction
Languages : en
Pages : 323
Book Description
An orphan girl unsure of who she is or why a man wants her dead carries a secret. She will experience humanity. Are you ready? Join Sophia in a heart thumping adventure across England set in the 1870’s, exploring faith, doubt, love and fear. A story, quoted by the editor as “really something special”, you’ll continue to contemplate long after the journey unfolds.
Publisher: Steve Goodwin
ISBN: 0987378465
Category : Fiction
Languages : en
Pages : 323
Book Description
An orphan girl unsure of who she is or why a man wants her dead carries a secret. She will experience humanity. Are you ready? Join Sophia in a heart thumping adventure across England set in the 1870’s, exploring faith, doubt, love and fear. A story, quoted by the editor as “really something special”, you’ll continue to contemplate long after the journey unfolds.
Scalable Dynamic Analysis of Binary Code
Author: Ulf Kargén
Publisher: Linköping University Electronic Press
ISBN: 9176850498
Category :
Languages : en
Pages : 86
Book Description
In recent years, binary code analysis, i.e., applying program analysis directly at the machine code level, has become an increasingly important topic of study. This is driven to a large extent by the information security community, where security auditing of closed-source software and analysis of malware are important applications. Since most of the high-level semantics of the original source code are lost upon compilation to executable code, static analysis is intractable for, e.g., fine-grained information flow analysis of binary code. Dynamic analysis, however, does not suffer in the same way from reduced accuracy in the absence of high-level semantics, and is therefore also more readily applicable to binary code. Since fine-grained dynamic analysis often requires recording detailed information about every instruction execution, scalability can become a significant challenge. In this thesis, we address the scalability challenges of two powerful dynamic analysis methods whose widespread use has, so far, been impeded by their lack of scalability: dynamic slicing and instruction trace alignment. Dynamic slicing provides fine-grained information about dependencies between individual instructions, and can be used both as a powerful debugging aid and as a foundation for other dynamic analysis techniques. Instruction trace alignment provides a means for comparing executions of two similar programs and has important applications in, e.g., malware analysis, security auditing, and plagiarism detection. We also apply our work on scalable dynamic analysis in two novel approaches to improve fuzzing — a popular random testing technique that is widely used in industry to discover security vulnerabilities. To use dynamic slicing, detailed information about a program execution must first be recorded. Since the amount of information is often too large to fit in main memory, existing dynamic slicing methods apply various time-versus-space trade-offs to reduce memory requirements. However, these trade-offs result in very high time overheads, limiting the usefulness of dynamic slicing in practice. In this thesis, we show that the speed of dynamic slicing can be greatly improved by carefully designing data structures and algorithms to exploit temporal locality of programs. This allows avoidance of the expensive trade-offs used in earlier methods by accessing recorded runtime information directly from secondary storage without significant random-access overhead. In addition to being a standalone contribution, scalable dynamic slicing also forms integral parts of our contributions to fuzzing. Our first contribution uses dynamic slicing and binary code mutation to automatically turn an existing executable into a test generator. In our experiments, this new approach to fuzzing achieved about an order of magnitude better code coverage than traditional mutational fuzzing and found several bugs in popular Linux software. The second work on fuzzing presented in this thesis uses dynamic slicing to accelerate the state-of-the-art fuzzer AFL by focusing the fuzzing effort on previously unexplored parts of the input space. For the second dynamic analysis technique whose scalability we sought to improve — instruction trace alignment — we employed techniques used in speech recognition and information retrieval to design what is, to the best of our knowledge, the first general approach to aligning realistically long program traces. We show in our experiments that this method is capable of producing meaningful alignments even in the presence of significant syntactic differences stemming from, for example, the use of different compilers or optimization levels.
Publisher: Linköping University Electronic Press
ISBN: 9176850498
Category :
Languages : en
Pages : 86
Book Description
In recent years, binary code analysis, i.e., applying program analysis directly at the machine code level, has become an increasingly important topic of study. This is driven to a large extent by the information security community, where security auditing of closed-source software and analysis of malware are important applications. Since most of the high-level semantics of the original source code are lost upon compilation to executable code, static analysis is intractable for, e.g., fine-grained information flow analysis of binary code. Dynamic analysis, however, does not suffer in the same way from reduced accuracy in the absence of high-level semantics, and is therefore also more readily applicable to binary code. Since fine-grained dynamic analysis often requires recording detailed information about every instruction execution, scalability can become a significant challenge. In this thesis, we address the scalability challenges of two powerful dynamic analysis methods whose widespread use has, so far, been impeded by their lack of scalability: dynamic slicing and instruction trace alignment. Dynamic slicing provides fine-grained information about dependencies between individual instructions, and can be used both as a powerful debugging aid and as a foundation for other dynamic analysis techniques. Instruction trace alignment provides a means for comparing executions of two similar programs and has important applications in, e.g., malware analysis, security auditing, and plagiarism detection. We also apply our work on scalable dynamic analysis in two novel approaches to improve fuzzing — a popular random testing technique that is widely used in industry to discover security vulnerabilities. To use dynamic slicing, detailed information about a program execution must first be recorded. Since the amount of information is often too large to fit in main memory, existing dynamic slicing methods apply various time-versus-space trade-offs to reduce memory requirements. However, these trade-offs result in very high time overheads, limiting the usefulness of dynamic slicing in practice. In this thesis, we show that the speed of dynamic slicing can be greatly improved by carefully designing data structures and algorithms to exploit temporal locality of programs. This allows avoidance of the expensive trade-offs used in earlier methods by accessing recorded runtime information directly from secondary storage without significant random-access overhead. In addition to being a standalone contribution, scalable dynamic slicing also forms integral parts of our contributions to fuzzing. Our first contribution uses dynamic slicing and binary code mutation to automatically turn an existing executable into a test generator. In our experiments, this new approach to fuzzing achieved about an order of magnitude better code coverage than traditional mutational fuzzing and found several bugs in popular Linux software. The second work on fuzzing presented in this thesis uses dynamic slicing to accelerate the state-of-the-art fuzzer AFL by focusing the fuzzing effort on previously unexplored parts of the input space. For the second dynamic analysis technique whose scalability we sought to improve — instruction trace alignment — we employed techniques used in speech recognition and information retrieval to design what is, to the best of our knowledge, the first general approach to aligning realistically long program traces. We show in our experiments that this method is capable of producing meaningful alignments even in the presence of significant syntactic differences stemming from, for example, the use of different compilers or optimization levels.
Russia and the Negro
Author: Allison Blakely
Publisher:
ISBN: 9780882581460
Category : History
Languages : en
Pages : 228
Book Description
Publisher:
ISBN: 9780882581460
Category : History
Languages : en
Pages : 228
Book Description
The Life and Letters of John Brown
Author: Franklin Benjamin Sanborn
Publisher:
ISBN:
Category :
Languages : en
Pages : 688
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 688
Book Description
Segregation's Science
Author: Gregory Michael Dorr
Publisher: University of Virginia Press
ISBN: 0813930340
Category : History
Languages : en
Pages : 314
Book Description
Blending social, intellectual, legal, medical, gender, and cultural history, Segregation's Science: Eugenics and Society in Virginia examines how eugenic theory and practice bolstered Virginia's various cultures of segregation--rich from poor, sick from well, able from disabled, male from female, and black from white and Native American. Famously articulated by Thomas Jefferson, ideas about biological inequalities among groups evolved throughout the nineteenth century. By the early twentieth century, proponents of eugenics--the "science" of racial improvement--melded evolutionary biology and incipient genetics with long-standing cultural racism. The resulting theories, taught to generations of Virginia high school, college, and medical students, became social policy as Virginia legislators passed eugenic marriage and sterilization statutes. The enforcement of these laws victimized men and women labeled "feebleminded," African Americans, and Native Americans for over forty years. However, this is much more than the story of majority agents dominating minority subjects. Although white elites were the first to champion eugenics, by the 1910s African American Virginians were advancing their own hereditarian ideas, creating an effective counter-narrative to white scientific racism. Ultimately, segregation's science contained the seeds of biological determinism's undoing, realized through the civil, women's, Native American, and welfare rights movements. Of interest to historians, educators, biologists, physicians, and social workers, this study reminds readers that science is socially constructed; the syllogism "Science is objective; objective things are moral; therefore science is moral" remains as potentially dangerous and misleading today as it was in the past.
Publisher: University of Virginia Press
ISBN: 0813930340
Category : History
Languages : en
Pages : 314
Book Description
Blending social, intellectual, legal, medical, gender, and cultural history, Segregation's Science: Eugenics and Society in Virginia examines how eugenic theory and practice bolstered Virginia's various cultures of segregation--rich from poor, sick from well, able from disabled, male from female, and black from white and Native American. Famously articulated by Thomas Jefferson, ideas about biological inequalities among groups evolved throughout the nineteenth century. By the early twentieth century, proponents of eugenics--the "science" of racial improvement--melded evolutionary biology and incipient genetics with long-standing cultural racism. The resulting theories, taught to generations of Virginia high school, college, and medical students, became social policy as Virginia legislators passed eugenic marriage and sterilization statutes. The enforcement of these laws victimized men and women labeled "feebleminded," African Americans, and Native Americans for over forty years. However, this is much more than the story of majority agents dominating minority subjects. Although white elites were the first to champion eugenics, by the 1910s African American Virginians were advancing their own hereditarian ideas, creating an effective counter-narrative to white scientific racism. Ultimately, segregation's science contained the seeds of biological determinism's undoing, realized through the civil, women's, Native American, and welfare rights movements. Of interest to historians, educators, biologists, physicians, and social workers, this study reminds readers that science is socially constructed; the syllogism "Science is objective; objective things are moral; therefore science is moral" remains as potentially dangerous and misleading today as it was in the past.
The Official Catholic Directory for the Year of Our Lord ...
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1606
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 1606
Book Description
Langholm as it was
Author: John Hyslop
Publisher:
ISBN:
Category : Annandale and Eskdale (Scotland : District)
Languages : en
Pages : 954
Book Description
Publisher:
ISBN:
Category : Annandale and Eskdale (Scotland : District)
Languages : en
Pages : 954
Book Description
Iowa Official Register
Author:
Publisher:
ISBN:
Category : Iowa
Languages : en
Pages : 900
Book Description
Publisher:
ISBN:
Category : Iowa
Languages : en
Pages : 900
Book Description
Collective Action and Football Fandom
Author: Jamie Cleland
Publisher: Springer
ISBN: 3319731416
Category : Sports & Recreation
Languages : en
Pages : 231
Book Description
This book draws upon a relational sociological paradigm to explore the processes of collective action in football fandom across Europe and the UK. Through a range of case studies, the authors address pertinent themes in football fandom, including anti-discrimination, ‘home,’ ticketing, name changes, ‘ownership,’ and broader leftist politics. Each of these case studies engages with the theoretical framework of cultural relational sociology, highlighting the different social and cultural changes English and European football has undergone, often over a very short period of time.
Publisher: Springer
ISBN: 3319731416
Category : Sports & Recreation
Languages : en
Pages : 231
Book Description
This book draws upon a relational sociological paradigm to explore the processes of collective action in football fandom across Europe and the UK. Through a range of case studies, the authors address pertinent themes in football fandom, including anti-discrimination, ‘home,’ ticketing, name changes, ‘ownership,’ and broader leftist politics. Each of these case studies engages with the theoretical framework of cultural relational sociology, highlighting the different social and cultural changes English and European football has undergone, often over a very short period of time.