Igor Aleksander

71 papers B 4C 1Misc 2Journal 51Unranked 11
YearRankTypeTitle / Venue / Authors
2023 J jnl
Cogn. Comput.
Neyla Sfeir, Igor Aleksander
2021 J jnl
J. Inf. Technol.
Igor Aleksander
2020 J jnl
J. Artif. Intell. Conscious.
Igor Aleksander
2019 B conf
ESANN
Igor Aleksander, Helen Morton
2017 J jnl
J. Inf. Technol.
Igor Aleksander
2015 book
Impossible Minds
Igor Aleksander
2014 B conf
ESANN
Igor Aleksander, Helen Morton
2012 book
Igor Aleksander, Helen Morton
2012 conf
BICA
Igor Aleksander, Helen Morton
2011 J jnl
Int. J. Comput. Intell. Appl.
Sunil Rao, Igor Aleksander
2011 J jnl
Cogn. Process.
Sunil Rao, Igor Aleksander
2010 J jnl
Cogn. Comput.
Sunil Rao, Igor Aleksander
2009 B conf
ESANN
Igor Aleksander, Massimo De Gregorio, Felipe Maia Galvão França, Priscila Machado Vieira Lima, Helen Morton
2009 J jnl
Neurocomputing
Amir Hussain, Igor Aleksander, Leslie S. Smith, Ron Chrisley
2009 J jnl
Cogn. Comput.
Igor Aleksander
2009 conf
AAAI Fall Symposium: Biologically Inspired Cognitive Architectures
Igor Aleksander, David Gamez
2009 B conf
ESANN
Igor Aleksander, Helen Morton
2009 conf
AAAI Fall Symposium: Biologically Inspired Cognitive Architectures
David Gamez, Igor Aleksander
2008 J jnl
J. Inf. Technol.
Ray Tallis, Igor Aleksander
2008 J jnl
Scholarpedia
Igor Aleksander
2007 conf
AAAI Fall Symposium: AI and Consciousness
Igor Aleksander, Helen Morton
2007 J jnl
Neural Networks
Igor Aleksander, Helen Morton
2006 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Igor Aleksander, Helen Morton
2005 conf
BVAI
Igor Aleksander, Helen Morton
2004 J jnl
J. Inf. Technol.
Igor Aleksander
2004 J jnl
Cogn. Process.
Igor Aleksander
2003 conf
IWANN (1)
Igor Aleksander, Helen Morton
2003 conf
IWANN (1)
Igor Aleksander, Barry Dunmall
2001 conf
IWANN (1)
Igor Aleksander, Helen Morton, Barry Dunmall
1999 conf
IWANN (1)
Igor Aleksander, Barry Dunmall, Valentina Del Frate
1998 conf
NC
Igor Aleksander, Barry Dunmall
1997 J jnl
Neural Networks
Chris Browne, Richard G. Evans, Nick J. Sales, Igor Aleksander
1996 conf
ICES
Igor Aleksander
1996 J jnl
Neurocomputing
Igor Aleksander
1996 J jnl
Artif. Intell. Rev.
Nick J. Sales, Richard G. Evans, Igor Aleksander
1995 Misc conf
IWANN
Igor Aleksander
1995 J jnl
Pattern Recognit. Lett.
Antônio de Pádua Braga, Igor Aleksander
1994 C conf
ISCAS
Alan F. Murray, Igor Aleksander, Andreas G. Andreou, Misha Mahowald
1993 Misc conf
IWANN
Igor Aleksander, Helen Morton
1993 J jnl
Knowl. Based Syst.
Igor Aleksander
1991 J jnl
Knowl. Based Syst.
Igor Aleksander
1989 J jnl
J. Inf. Technol.
Igor Aleksander
1988 J jnl
J. Inf. Technol.
Igor Aleksander, Henry Holloway
1988 J jnl
Neural Networks
Catherine Myers, Igor Aleksander
1987 J jnl
Pattern Recognit. Lett.
Igor Aleksander
1987 J jnl
Robotica
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1987 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1986 J jnl
J. Inf. Technol.
Igor Aleksander
1985 J jnl
Robotica
Igor Aleksander
1983 J jnl
Pattern Recognit. Lett.
Igor Aleksander
1971 J jnl
IEEE Trans. Computers
Igor Aleksander
1969 J jnl
Comput. J.
Igor Aleksander
1968 J jnl
Comput. J.
Igor Aleksander, R. C. Albrow
docs/new_database_schema.md
← Index docs/new_database_schema.md markdown

## LLIL function

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| function_type | string | The inferred type of the analyzed function, determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| sha256_llil | string | SHA-256 hash computed from the Low-Level Intermediate Language (LLIL) instructions of the function. |
| ssdeep_llil | string | Fuzzy hash (ssdeep) of the LLIL instruction sequence, used for similarity detection. |
| tlsh_llil | string | TLSH (Trend Locality Sensitive Hash) value of the LLIL instructions, used for approximate matching and similarity comparison. |
| instructions_types_llil | list[string] | List of unique LLIL instruction types (e.g., arithmetic, control flow, memory operations). |
| control_flow_count_llil | integer | Number of control flow instructions in the LLIL representation (e.g., branches, jumps, calls). |
| memory_access_pattern_llil | dict | Patterns of memory access operations detected in the LLIL code (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, indicating which registers are read and written in the function. |
| total_reg_reads | integer | Total number of register read operations in the LLIL code. |
| total_reg_written | integer | Total number of register write operations in the LLIL code. |
| data_references_count | integer | Number of data references in the LLIL code (e.g., constants, global variables). |
| max_block_size | integer | Size of the largest basic block in the LLIL representation, measured in number of instructions. |
| num_calls | integer | Total number of function call instructions present in the LLIL code. |
| stack_size | integer | Estimated stack size used by the function, inferred from LLIL analysis. |


## CFG level

| Field Name          | Field Type    | Description                                                                                                                               |
|---------------------|---------------|-------------------------------------------------------------------------------------------------------------------------------------------|
| block_id            | integer       | Unique identifier for the basic block within the function (block_instructions + str(block.start) + str(block.end) + str(function.start)). |
| function_address    | integer       | Starting memory address of the parent function containing this block.                                                                     |
| block_start_address | integer       | Starting address of the basic block in memory.                                                                                            |
| block_end_address   | integer       | Ending address of the basic block in memory.                                                                                              |
| block_size          | integer       | Size of the basic block in bytes (computed as end - start).                                                                               |
| instructions_count  | integer       | Number of instructions contained in the basic block.                                                                                      |
| block_instructions  | string        | MD5 hash of the block's instruction sequence, used for integrity or similarity checks.                                                    |
| predecessor_blocks  | list[u64]     | List of addresses or IDs of predecessor blocks in the control flow graph (CFG).                                                           |
| successor_blocks    | list[u64]     | List of addresses or IDs of successor blocks in the CFG.                                                                                  |
| depth               | integer       | Depth level of the block in the control flow graph, starting from the entry block.                                                        |
| position            | integer       | Sequential position or index of the block within the function’s block map.                                                                |
| branch_type         | string        | Type of branch ending the block (e.g., conditional, unconditional, call, return).                                                         |
| block_type          | string        | Classification of the block (e.g., entry, exit, loop header, regular).                                                                    |
| flags               | dict          | Metadata or attributes extracted from the block (e.g., specific behavior or conditions).                                                  |
| dominators          | list[integer] | List of block addresses or IDs that dominate this block in the control flow graph.                                                        |
| post_dominators     | list[integer] | List of block addresses or IDs that post-dominate this block in the control flow graph.                                                   |
 | measures            | list[tuples]  | List of measures to be defined                                                                                                            |

## Disassembly

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| disassembled_function_hash | string | SHA-256 hash of the disassembled function string, used as a unique identifier. |
| disassembled_function | string | The disassembled function including instruction addresses. |
| disassembled_function_no_addresses | string | The disassembled function without instruction addresses, containing only the instruction mnemonics and operands. |
| disassembled_function_name | string | The name of the analyzed function. |
| disassembled_function_address | integer | The starting memory address of the disassembled function. |
| instructions_count | integer | Total number of instructions within the disassembled function. |
| function_type | string | The inferred type of the function as determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| instructions_types | list[string] | List of unique instruction types (e.g., arithmetic, logic, control flow, memory). |
| control_flow_count | integer | Number of control flow instructions (e.g., jumps, calls, returns). |
| memory_access_pattern | dict | Patterns of memory access operations detected in the function (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, showing which registers are read from or written to. |
| data_references_count | integer | Count of data references made by the function (e.g., global variables or constants). |
| max_block_size | integer | The size of the largest basic block (in number of instructions). |
| num_calls | integer | Total number of function call instructions. |
| stack_size | integer | Estimated stack size used by the function. |

## Decompilation

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| decompiled_function_hash | string | SHA-256 hash of the decompiled function code, used as a unique identifier. |
| decompiled_function | string | The decompiled function source code in high-level representation. |
| decompiled_function_name | string | The name of the decompiled function. |
| decompiled_function_prototype | string | The function prototype, including return type, name, and parameters. |
| decompiled_function_address | integer | The starting memory address of the decompiled function. |
| function_type | string | The inferred function type from the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| functions_caller | list[string] | List of functions that call this function (incoming call references). |
| functions_call | list[string] | List of functions called by this function (outgoing call references). |
| flattened_score | float | Score representing the degree of control-flow flattening detected in the function. |
| mba_score | float | Score representing the presence or intensity of mixed boolean arithmetic (MBA) obfuscation patterns. |